{"id":16,"date":"2018-11-09T20:00:16","date_gmt":"2018-11-09T20:00:16","guid":{"rendered":"http:\/\/groups.cs.umass.edu\/zamani\/?page_id=16"},"modified":"2026-04-02T22:18:30","modified_gmt":"2026-04-03T03:18:30","slug":"publications","status":"publish","type":"page","link":"https:\/\/groups.cs.umass.edu\/zamani\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<header class=\"post-header\">\n<p class=\"post-description\">Publications in reversed chronological order.<\/p>\n<p><a href=\"https:\/\/dblp.org\/pid\/150\/5324.html\" target=\"_blank\" rel=\"noopener\">dblp<\/a>,\u00a0<a href=\"https:\/\/scholar.google.com\/citations?user=d2uzDIAAAAAJ&amp;hl=en&amp;oi=ao\" target=\"_blank\" rel=\"noopener\">Google Scholar<\/a><\/p>\n<header class=\"post-header\">\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02026\u00a0<\/span><\/h1>\n<\/div>\n<div id=\"Hauff:2021\">\n<div>\n<div>\n<div><b>Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs<\/b><\/div>\n<div><span class=\"author\">Mohammad Tavakoli, Alireza Salemi, Carrie Ye, Mohamed Abdalla, <em>Hamed Zamani<\/em>, J. Ross Mitchell<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 14th International Conference on Learning Representations, 2026 <\/em>(ICLR &#8217;26)<\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2510.27246\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div><b>Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering<\/b><\/div>\n<div><span class=\"author\">Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Hombaiah, Weize Kong, Tao Chen, <em>Hamed Zamani<\/em>, and Michael Bendersky<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the Web Conference, 2026 <\/em>(WWW &#8217;26)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2509.19094\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<\/div>\n<\/header><\/header>\n<div>\u00a0<\/div>\n<header class=\"post-header\"><header class=\"post-header\">\n<div id=\"Hauff:2021\">\n<div>\n<div>\n<div><b>Inferential Question Answering<\/b><\/div>\n<div><span class=\"author\">Jamshid Mozafari, <em>Hamed Zamani<\/em>, Guido Zuccon, and Adam Jatowat<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the Web Conference, 2026 <\/em>(WWW &#8217;26)<br \/><\/span><\/div>\n<div>[<a href=\"https:\/\/www.arxiv.org\/pdf\/2602.01239\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/header><\/header>\n<div>\u00a0<\/div>\n<header class=\"post-header\"><header class=\"post-header\">\n<div>\n<div>\n<div><strong>Uncertainty Quantification for Retrieval-Augmented Reasoning<\/strong><\/div>\n<div>Heydar Soudani, <em>Hamed Zamani<\/em>, Faegheh Hasibi<\/div>\n<div><span class=\"periodical\"><i><em>In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2026 (SIGIR \u201926)<\/i><\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2510.11483\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<div>\u00a0<\/div>\n<\/div>\n<div><strong>Learning from Natural Language Feedback for Personalized Question Answering<\/strong><\/div>\n<div>Alireza Salemi and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i><em>In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2026 (SIGIR \u201926)<\/i><\/span><\/div>\n<div><span class=\"periodical\">[<a href=\"https:\/\/arxiv.org\/pdf\/2508.10695\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<\/div>\n<div><b>Scaling Laws for Embedding Dimension in Information Retrieval<\/b><\/div>\n<div><span class=\"author\">Julian Killingback*, Mahta Rafiee*, Madine Manas, and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><i><em>In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2026 (SIGIR \u201926)<\/i><\/span><\/div>\n<div><span class=\"periodical\">[<a href=\"https:\/\/arxiv.org\/pdf\/2602.05062\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/header>\n<div>\u00a0<\/div>\n<div>\n<div>\n<div><strong>Evaluation of Information Access Agents under Simulated AI Marketplace Dynamics<\/strong><\/div>\n<div>To Eun Kim, Alireza Salemi, Fernando Diaz, and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i><em>In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2026 (SIGIR \u201926)<\/i><\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2510.11483\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<div>\u00a0<\/div>\n<\/div>\n<div><b>Total Recall QA: A Verifiable Evaluation Suite for Deep Research Agents<\/b><\/div>\n<div><span class=\"author\">Mahta Rafiee, Heydar Soudani, Zahra Abbasiantaeb, Mohammad Aliannejadi, Faegheh Hasibi, and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><i><em>In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2026 (SIGIR \u201926)<\/i><\/span><\/div>\n<div><span class=\"periodical\">[<a href=\"https:\/\/arxiv.org\/pdf\/2603.18516\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<header class=\"post-header\">\n<div>\u00a0<\/div>\n<\/header><\/header>\n<div>\n<div><strong>Exploring and Improving Cross- and Multi-Domain Personalized Question Answering via a Dual Retrieval Augmentation Approach<\/strong><\/div>\n<div>Ozel Yilmazel, <em>Hamed Zamani<\/em>, and James Allan<\/div>\n<div><span class=\"periodical\"><i><em>In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2026 (SIGIR \u201926)<\/i><br \/><\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><b>Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering<\/b><\/div>\n<div><span class=\"author\">Maryam Amirizaniani, Alireza Salemi, and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><i><em>In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2026 (SIGIR \u201926)<\/i><\/span><\/div>\n<div><span class=\"periodical\">[<a href=\"https:\/\/arxiv.org\/pdf\/2602.19317\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<\/div>\n<header class=\"post-header\"><header class=\"post-header\">\n<div><header class=\"post-header\"><header class=\"post-header\">\n<div id=\"Hauff:2021\">\n<div>\n<div>\n<div><b>Can Instructed Retrieval Models Really Support Exploration?<\/b><\/div>\n<div><span class=\"author\">Piyush Maheshwari, Sheshera Mysore, and Hamed Zamani<br \/><\/span><span class=\"periodical\"><em>In <i>Proceedings of the 2026 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2026 (CHIIR &#8217;26<\/i><\/em>)<\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2601.10936\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/header><\/header><\/div>\n<div>\u00a0<\/div>\n<div>\n<div><b>Scaling Laws for Reranking in Information Retrieval<\/b><\/div>\n<div><span class=\"author\">Rahul Seetharaman, Aman Bansal, <em>Hamed Zamani<\/em>, and Kaustubh Dhole<br \/><\/span><span class=\"periodical\"><em>arxiv, 2026 <\/em>(preprint)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2603.04816\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<\/div>\n<\/header>\n<div>\n<div><b>Improving User Privacy in Personalized Generation: Client-Side Retrieval-Augmented Modification of Server-Side Generated Speculations<\/b><\/div>\n<div><span class=\"author\">Alireza Salemi and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><em>arxiv, 2026 <\/em>(preprint)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2601.17569\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<\/header>\n<div>\u00a0<\/div>\n<div>\n<div><b>Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning<\/b><\/div>\n<div><span class=\"author\">Chris Samarinas, Haw-Shiuan Chang, and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><em>arxiv, 2026 <\/em>(preprint)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2602.23440\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><b>TERSE: Test-Time Adaptation via Retrieval of Skills and Experience for Reasoning Agents<\/b><\/div>\n<div><span class=\"author\">Junda Wang, Zonghai Tao, Hansi Zeng, Zhichao Yang, <em>Hamed Zamani<\/em>, and Hong Yu<br \/><\/span><span class=\"periodical\"><em>arxiv, 2026 <\/em>(preprint)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2603.01241\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div>\u00a0<\/div>\n<\/div>\n<header class=\"post-header\">\n<div>\n<div>\u00a0<\/div>\n<\/div>\n<\/header><header class=\"post-header\">\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02025\u00a0<\/span><\/h1>\n<\/div>\n<div id=\"Hauff:2021\">\n<div>\n<div><a href=\"https:\/\/openreview.net\/pdf?id=tf6A9EYMo6\"><strong>Personalization of Large Language Models: A Survey<\/strong><\/a><\/div>\n<div>Zhehao Zhang <em>et al.<\/em><\/div>\n<div><i>Transactions on Machine Learning Research, 2025<\/i><\/div>\n<div><span class=\"periodical\">[<a href=\"https:\/\/arxiv.org\/pdf\/2411.00027\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<\/div>\n<\/header>\n<div>\u00a0<\/div>\n<div>\n<div><strong>Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning<\/strong><\/div>\n<div>Bowen Jin, Hansi Zeng, Zhenrui Yue, Jinsung Yoon, Sercan O. Arik, Dong Wang, <em>Hamed Zamani, <\/em>and Jiawei Han<\/div>\n<div><span class=\"periodical\"><i>In Proceedings of the Second Conference on Language Modeling, 2025 (COLM &#8217;25)<br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2503.09516\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/PeterGriffinJin\/Search-R1\" target=\"_blank\" rel=\"noopener\">code<\/a>] [<a href=\"https:\/\/huggingface.co\/collections\/PeterJinGo\/search-r1-67d1a021202731cb065740f5\">models<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>LaMP-QA: A Benchmark for Personalized Long-form Question Answering<\/strong><\/div>\n<div>Alireza Salemi and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i>In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP &#8217;25)<br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2506.00137\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/LaMP-Benchmark\/LaMP-QA\" target=\"_blank\" rel=\"noopener\">code and data<\/a>]<\/span><\/div>\n<\/div>\n<header class=\"post-header\">\n<div id=\"Hauff:2021\">\n<div>\n<div>\u00a0<\/div>\n<\/div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3669940.3707264\"><b>Accelerating Retrieval Augmented Generation<\/b><\/a><\/div>\n<div><span class=\"periodical\">Derrick Quinn, Mohammad Nouri, Neel Patel, Alireza Salemi, Sukhan Lee, <em>Hamed Zamani<\/em>, and Mohammad Alian<br \/><em>In Proceedings of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025 (ASPLOS &#8217;25)<\/em><\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2412.15246\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<\/div>\n<\/header>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3726302.3729983\" target=\"_blank\" rel=\"noopener\"><strong>Hypencoder: Hypernetworks for Information Retrieval<\/strong><\/a><\/div>\n<div>Julian Killingback, Hansi Zeng, and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i><em>In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2025 (SIGIR \u201925)<\/i><i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2502.05364\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/jfkback\/hypencoder-paper\" target=\"_blank\" rel=\"noopener\">code<\/a>] [<a href=\"https:\/\/huggingface.co\/papers\/2502.05364\" target=\"_blank\" rel=\"noopener\">models<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3726302.3729913\" target=\"_blank\" rel=\"noopener\"><strong>Bridging Personalization and Control in Scientific Personalized Search<\/strong><\/a><\/div>\n<div>Sheshera Mysore, Garima Dhanania, Kishor Patil, Surya Kallumadi, Andrew McCallum, and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i><em>In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2025 (SIGIR \u201925)<\/i><i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2411.02790\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3726302.3730225\" target=\"_blank\" rel=\"noopener\"><strong>Scaling Sparse and Dense Retrieval in Decoder-Only LLMs<\/strong><\/a><\/div>\n<div>Hansi Zeng, Julian Killingback, and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i><em>In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2025 (SIGIR \u201925)<\/i><i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2502.15526\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/HansiZeng\/scaling-retriever\" target=\"_blank\" rel=\"noopener\">code<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/aclanthology.org\/2025.acl-long.1201\" target=\"_blank\" rel=\"noopener\"><strong>Personalized Generation in Large Model Era: A Survey<\/strong><\/a><\/div>\n<div>Yiyan Xu, Jinghao Zhang, Alireza Salemi, Xinting Hu, Wenjie Wang, Fuli Feng, <em>Hamed Zamani, <\/em>Xiangnan He, and Tat-Seng Chua<\/div>\n<div><span class=\"periodical\"><i><em>In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025 <\/em>(ACL &#8217;25)<\/i><i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2503.02614\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/aclanthology.org\/2025.findings-acl.693\/\" target=\"_blank\" rel=\"noopener\"><strong>Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation<\/strong><\/a><\/div>\n<div>Chris Samarinas, Alexander Krubner, Alireza Salemi, Youngwoo Kim, and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i><em>In Findings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025 <\/em>(ACL &#8217;25 Findings)<\/i><i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2501.03545\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/algoprog\/ICAT\" target=\"_blank\" rel=\"noopener\">code<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/aclanthology.org\/2025.findings-acl.900\/\" target=\"_blank\" rel=\"noopener\"><strong>ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation<\/strong><\/a><\/div>\n<div>Alireza Salemi, Julian Killingback, and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i><em>In Findings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025 <\/em>(ACL &#8217;25 Findings)<\/i><i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2501.14956\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/alirezasalemi7\/ExPerT\" target=\"_blank\" rel=\"noopener\">code<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3731120.3744595\" target=\"_blank\" rel=\"noopener\"><strong>Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models<\/strong><\/a><\/div>\n<div>Alireza Salemi and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i><em>In Proceedings of the 2025 ACM International Conference on Innovative Concepts and Theories in Information Retrieval, 2025 <\/em>(ICTIR \u201925)<\/i><\/span><\/div>\n<div><span class=\"periodical\">[<a href=\"https:\/\/arxiv.org\/pdf\/2409.09510v1\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/LaMP-Benchmark\/LaMP\" target=\"_blank\" rel=\"noopener\">code<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3731120.3744584\" target=\"_blank\" rel=\"noopener\"><strong>Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization<\/strong><\/a><\/div>\n<div>Alireza Salemi and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i><em>In Proceedings of the 2025 ACM International Conference on Innovative Concepts and Theories in Information Retrieval, 2025 <\/em>(ICTIR \u201925)<\/i><\/span><\/div>\n<div><span class=\"periodical\">[<a href=\"https:\/\/arxiv.org\/pdf\/2410.09942\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/alirezasalemi7\/uRAG\" target=\"_blank\" rel=\"noopener\">code<\/a>]<\/span><\/div>\n<\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3731120.3744574\" target=\"_blank\" rel=\"noopener\"><strong>Reliable Annotations with Less Effort: Evaluation LLM-Human Collaboration in Search Clarification<\/strong><\/a><\/div>\n<div>Leila Tavakoli and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i><em>In Proceedings of the 2025 ACM International Conference on Innovative Concepts and Theories in Information Retrieval, 2025 <\/em>(ICTIR \u201925)<\/i><\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2507.00543\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3731120.3744613\" target=\"_blank\" rel=\"noopener\"><strong>Distillation and Refinement of Reasoning in Small Language Models for Document Re-Ranking<\/strong><\/a><\/div>\n<div>Chris Samarinas and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i><em>In Proceedings of the 2025 ACM International Conference on Innovative Concepts and Theories in Information Retrieval, 2025 <\/em>(ICTIR \u201925)<\/i><\/span><\/div>\n<div><span class=\"periodical\">[<a href=\"https:\/\/arxiv.org\/pdf\/2504.03947\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/algoprog\/InteRank\" target=\"_blank\" rel=\"noopener\">code<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training<\/strong><\/div>\n<div>Alireza Salemi, Mukta Maddipatla, and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i>In Proceedings of the LiveRAG Challenge at ACM SIGIR 2025<\/i><i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2506.10844\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>Plan-and-Refine: Diverse and Comprehensive Retrieval-Augmented Generation<\/strong><\/div>\n<div>Alireza Salemi, Chris Samarinas, and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i>arxiv, 2025 <\/i>(preprint)<i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2504.07794\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/alirezasalemi7\/PR-RAG\" target=\"_blank\" rel=\"noopener\">code<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>Reasoning-Enhanced Self-Training for Long-from Personalized Text Generation<\/strong><\/div>\n<div>Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Tao Chen, Zhuowan Li, Michael Bendersky, and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i>arxiv, 2025 <\/i>(preprint)<i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2501.04167\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>Open-Domain and Knowledge-Intensive Video Question Answering<\/strong><\/div>\n<div>Md Zarif Ul Alam and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i>arxiv, 2025 <\/i>(preprint)<i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2502.11747\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><b>Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs?<\/b><\/div>\n<div>Hansi Zeng, Kai Hui, Honglei Zhuang, Zhen Qin, Zhenrui Yue, <em>Hamed Zamani, <\/em>and Dana Alon<\/div>\n<div><span class=\"periodical\"><i>arxiv, 2025 <\/i>(preprint)<i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2504.12491\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward Models<\/strong><\/div>\n<div>Mason Nakamura, Saaduddin Mahmud, Kyle H. Wray, <em>Hamed Zamani<\/em>, and Shlomo Zilberstein<\/div>\n<div><span class=\"periodical\"><i>arxiv, 2025 <\/i>(preprint)<i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2508.05165\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>Benchmarking Information Retrieval Models for Complex Retrieval Tasks<\/strong><\/div>\n<div>Julian Killingback and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i>arxiv, 2025 <\/i>(preprint)<i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2509.07253\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>LLM-based Multi-Agent Blackboard System for Information Discovery in Data Science<\/strong><\/div>\n<div>Alireza Salemi, Mihir Parmar, Palash Goyal, Yiwen Song, Jinsung Yoon, <em>Hamed Zamani<\/em>, Hamid Palangi, and Tomas Pfister<\/div>\n<div><span class=\"periodical\"><i>arxiv, 2025 <\/i>(preprint)<\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2510.01285\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<\/div>\n<div>\u00a0<\/div>\n<header class=\"post-header\">\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02024\u00a0<\/span><\/h1>\n<\/div>\n<div>\n<div><strong>Future of Information Retrieval Research in the Age of Generative AI<\/strong><\/div>\n<div><span class=\"periodical\">James Allan, Eunsol Choi, Daniel Lopresti, <em>Hamed Zamani<\/em><br \/>CCC Report, Computing Research Association, 2024<\/span><\/div>\n<\/div>\n<\/header>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2412.02043\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/cra.org\/ccc\/events\/future-of-information-retrieval-research-in-the-age-of-generative-ai-ccc-visioning-workshop\/\" target=\"_blank\" rel=\"noopener\">website<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-73147-1_3\" target=\"_blank\" rel=\"noopener\"><strong>Interactions with Generative Information Retrieval Systems<\/strong><\/a><\/div>\n<div><span class=\"periodical\">Mohammad Aliannejadi, Jacek Gwizdka, and <em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><i>Book Chapter in Information Access in the Era of Generative AI, 2024<\/i><i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2407.11605\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<\/div>\n<header class=\"post-header\">\n<div id=\"Hauff:2021\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3647639\"><span class=\"author\"><b>Generalized Weak Supervision for Neural Information Retrieval<\/b><\/span><\/a><\/div>\n<\/header><header class=\"post-header\">\n<div id=\"Hauff:2021\">\n<div><span class=\"author\">Yen-Chieh Lien, <em>Hamed Zamani<\/em>, and W. Bruce Croft<br \/><\/span><span class=\"periodical\"><i>ACM Transactions on Information Systems (TOIS), 2024<\/i><br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2304.08912.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<\/header>\n<div>\u00a0<\/div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3681786\" target=\"_blank\" rel=\"noopener\"><strong>Online and Offline Evaluation in Search Clarification<\/strong><\/a><\/div>\n<div>Leila Tavakoli, Johanne R. Trippas, <em>Hamed Zamani<\/em>, Falk Scholer, and Mark Sanderson<\/div>\n<div><span class=\"periodical\"><i>ACM Transactions on Information Systems (TOIS), 2024<\/i><br \/><\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2403.09180\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3626772.3657985\" target=\"_blank\" rel=\"noopener\"><strong>The Second Workshop on Large Language Models for Individuals, Groups, and Society<\/strong><\/a><\/div>\n<div>Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, <em>Hamed Zamani<\/em>, Mingyang Zhang, and Xingjian Zhang<\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2024 (SIGIR \u201924)<br \/><\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3626772.3657983\" target=\"_blank\" rel=\"noopener\"><strong>Third Workshop on Personalization and Recommendations in Search (PaRiS)<\/strong><\/a><\/div>\n<div>Sudarshan Lamkhede, <em>Hamed Zamani<\/em>, Moumita Bhattacharya, and Hongning Wang<\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2024 (SIGIR \u201924)<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645477\" target=\"_blank\" rel=\"noopener\"><span class=\"author\"><b>Scalable and Effective Generative Information Retrieval<\/b><\/span><\/a><\/div>\n<div><span class=\"author\">Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Sarwar, Tianxin Wei, and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><em>In Proceedings of the Web Conference, 2024 <\/em>(WWW &#8217;24)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2311.09134.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/HansiZeng\/RIPOR\" target=\"_blank\" rel=\"noopener\">code<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/aclanthology.org\/2024.acl-long.399\/\" target=\"_blank\" rel=\"noopener\"><span class=\"author\"><b>LaMP: When Large Language Models Meet Personalization<\/b><\/span><\/a><\/div>\n<div><span class=\"author\">Alireza Salemi, Sheshera Mysore, Michael Bendersky, and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><i><em>In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics<\/em>, 2024<\/i>\u00a0(ACL &#8217;24)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2304.11406.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>][<a href=\"https:\/\/lamp-benchmark.github.io\/\" target=\"_blank\" rel=\"noopener\">benchmark website<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3626772.3657746\" target=\"_blank\" rel=\"noopener\"><strong>Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding<\/strong><\/a><\/div>\n<div>Hansi Zeng, Chen Luo, and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2024 (SIGIR \u201924)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2404.14600.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/HansiZeng\/PAG\" target=\"_blank\" rel=\"noopener\">code<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3626772.3657783\" target=\"_blank\" rel=\"noopener\"><strong>Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation<\/strong><\/a><\/div>\n<div>Alireza Salemi, Surya Kallumadi, and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2024 (SIGIR \u201924)<\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2404.05970.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/LaMP-Benchmark\/LaMP\" target=\"_blank\" rel=\"noopener\">code<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3626772.3657733\" target=\"_blank\" rel=\"noopener\"><strong>Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Language Models<\/strong><\/a><\/div>\n<div>Alireza Salemi and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2024 (SIGIR \u201924)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2405.00175\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3626772.3657869\" target=\"_blank\" rel=\"noopener\"><strong>ProCIS: A Benchmark for Proactive Retrieval in Conversations<\/strong><\/a><\/div>\n<div>Chris Samarinas and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2024 (SIGIR \u201924)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2405.06460v1\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div><strong><span class=\"title\"><a href=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\"><img decoding=\"async\" class=\"alignnone wp-image-92\" src=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\" alt=\"\" width=\"30\" height=\"27\" \/><\/a><\/span><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3626772.3657957\" target=\"_blank\" rel=\"noopener\">Evaluating Retrieval Quality in Retrieval-Augmented Generation<\/a><\/strong><\/div>\n<div>Alireza Salemi and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2024 (SIGIR \u201924)<\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2404.13781.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/alirezasalemi7\/eRAG\" target=\"_blank\" rel=\"noopener\">code<\/a>] <span class=\"periodical\"><span class=\"links\"><b>[Best Short Paper Award]<\/b><\/span><\/span><\/div>\n<div>\u00a0<\/div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3626772.3657923\" target=\"_blank\" rel=\"noopener\"><strong>Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization<\/strong><\/a><\/div>\n<div><em>Hamed Zamani<\/em> and Michael Bendersky<\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2024 (SIGIR \u201924)<\/span><\/div>\n<div>[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1496\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/aclanthology.org\/2024.findings-naacl.134\/\" target=\"_blank\" rel=\"noopener\"><span class=\"author\"><b>ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification<\/b><\/span><\/a><\/div>\n<div><span class=\"author\">Yaxin Zhu and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><span class=\"periodical\"><span class=\"periodical\"><span class=\"periodical\"><span class=\"periodical\"><em>In Findings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics, 2024 <\/em>(NAACL &#8217;24 Findings)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2311.09649.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/www.youtube.com\/watch?v=Jsk4kNKl2Y4\" target=\"_blank\" rel=\"noopener\">YouTube video by Manish Gupta (Microsoft)<\/a>]<\/span><\/span><\/span><\/span><\/span><\/div>\n<div>\n<div>\u00a0<\/div>\n<div><strong>Multimodal Reranking for Knowledge-Intensive Visual Question Answering<\/strong><\/div>\n<div><span class=\"author\">Haoyang Wen, Honglei Zhuang, <em>Hamed Zamani<\/em>, Alexander G. Hauptmann, and Michael Bendersky<br \/><\/span><span class=\"periodical\">In Proceedings of the 3rd Workshop on Advances in Language and Vision Research, 2024 (ALVR @ ACL 2024)<\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2407.12277\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>Understanding Modality Preferences in Search Clarification<\/strong><\/div>\n<div><span class=\"periodical\">Leila Tavakoli, Giovanni Castiglia, Federica Cal\u00f2, Yashar Deldjoo, <em>Hamed Zamani<\/em>, and Johanne R. Trippas<br \/>In Proceedings of the 1st Workshop on Multimodal Search and Recommendations, 2024 (MMSR @ CIKM 2024)<\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2406.19546\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>CS^4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints<\/strong><\/div>\n<div><span class=\"periodical\">Anirudh Atmakuru, Jatin Nainani, Rohith S. R. Bheemreddy, Anirudh Lakkaraju, Zonghai Yao, <em>Hamed Zamani<\/em>, and Haw-Shiuan Chang<br \/>In Proceedings of the Sixth Workshop on Narrative Understanding, 2024 (WNU @ EMNLP 2024)<\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2410.04197\">Preprint<\/a>]<\/div>\n<\/div>\n<div>\n<div>\n<div>\u00a0<\/div>\n<div><strong>Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Models<\/strong><\/div>\n<div><span class=\"periodical\">Chris Samarinas*, Pracha Promthaw*, Atharva Nijasure*, Hansi Zeng, Julian Killingback, and <em>Hamed Zamani<\/em><br \/><i>arxiv, 2024 <\/i>(preprint)<i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2404.14772.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/algoprog\/SynTOD\" target=\"_blank\" rel=\"noopener\">code<\/a>]<\/span><\/div>\n<\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>Retrieval-Enhanced Machine Learning: Synthesis and Opportunities<\/strong><\/div>\n<div><span class=\"periodical\">To Eun Kim, Alireza Salemi, Andrew Drozdov, Fernando Diaz, and <em>Hamed Zamani<\/em><br \/><i>arxiv, 2024 <\/i>(preprint)<i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2407.12982\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/retrieval-enhanced-ml.github.io\/sigir-ap2024-tutorial\/\" target=\"_blank\" rel=\"noopener\">Tutorial Website<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>Interactive Topic Models with Optimal Transport<\/strong><\/div>\n<div>Garima Dhanania, Sheshera Mysore, Chau Minh Pham, Mohit Iyyer, <em>Hamed Zamani<\/em>, and Andrew McCallum<\/div>\n<div><span class=\"periodical\"><i>arxiv, 2024 <\/i>(preprint)<i><br \/><\/i>[<a href=\"https:\/\/arxiv.org\/pdf\/2406.19928\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong>LongLaMP: A Benchmark for Personalized Long-form Text Generation<\/strong><\/div>\n<div>Ishita Kumar, Snigdha Viswanathan, Sushrita Yerra, Alireza Salemi, Ryan A. Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, and <em>Hamed Zamani<\/em><\/div>\n<div><span class=\"periodical\"><i>arxiv, 2024 <\/i>(preprint)<i><br \/><\/i>[<a href=\"https:\/\/www.arxiv.org\/pdf\/2407.11016\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/longlamp-benchmark.github.io\/\" target=\"_blank\" rel=\"noopener\">website<\/a>]<\/span><\/div>\n<\/div>\n<div>\n<div>\u00a0<\/div>\n<\/div>\n<header class=\"post-header\">\n<div id=\"Hauff:2021\">\n<div>\n<div>\u00a0<\/div>\n<\/div>\n<\/div>\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02023\u00a0<\/span><\/h1>\n<\/div>\n<div id=\"Hauff:2021\">\n<div><strong><span class=\"title\"><a href=\"https:\/\/www.nowpublishers.com\/article\/Details\/INR-081\" target=\"_blank\" rel=\"noopener\">Conversational Information Seeking<\/a><br \/><\/span><\/strong><span class=\"author\"><em>Hamed Zamani<\/em>, Johanne R. Trippas, Jeff Dalton, and Filip Radlinski<br \/><\/span><span class=\"periodical\"><i>Foundations and Trends in Information Retrieval (FntIR), 2023<\/i><br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2201.08808.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div><strong><span class=\"title\">Conversational Information Seeking: Theory and Application (Tutorial)<br \/><\/span><\/strong><span class=\"author\">Jeff Dalton, Filip Radlinski, Federico Rossetto, Johanne R. Trippas, <em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the Web Conference, 2023 <\/em>(WWW &#8217;23)<br \/>[<a href=\"https:\/\/cis-tutorial.github.io\/\" target=\"_blank\" rel=\"noopener\">tutorial website<\/a>]<\/span><\/div>\n<\/div>\n<\/header>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591925\" target=\"_blank\" rel=\"noopener\"><span class=\"author\"><b>SIGIR 2023 Workshop on Retrieval-Enhanced Machine Learning (REML @ SIGIR 2023)<\/b><\/span><\/a><\/div>\n<div><span class=\"author\">Michael Bendersky, Danqi Chen, Fernando Diaz, and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2023 (SIGIR \u201923)<br \/>[<a href=\"https:\/\/reml-workshop.github.io\/\" target=\"_blank\" rel=\"noopener\">workshop website<\/a>]<br \/><\/span><\/div>\n<div>\u00a0<\/div>\n<\/div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591626\" target=\"_blank\" rel=\"noopener\"><span class=\"author\"><b>A Personalized Dense Retrieval Framework for Unified Information Access<\/b><\/span><\/a><\/div>\n<div><span class=\"author\">Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Nogueira, and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2023 (SIGIR \u201923)<\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2304.13654.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><span class=\"author\"><b><strong><span class=\"title\"><a href=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\"><img decoding=\"async\" class=\"alignnone wp-image-92\" src=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\" alt=\"\" width=\"28\" height=\"30\" \/><\/a><\/span><\/strong><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591629\" target=\"_blank\" rel=\"noopener\">A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering<\/a><\/b><\/span><\/div>\n<div><span class=\"author\">Alireza Salemi, Juan Altmayer Pizzorno, and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2023 (SIGIR \u201923)<\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2304.13649.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] <span class=\"periodical\"><span class=\"links\"><b>[Best Student Paper Award]<\/b><\/span><\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591677\" target=\"_blank\" rel=\"noopener\"><span class=\"author\"><b>Editing User Profiles for Controllable Text Recommendation<\/b><\/span><\/a><\/div>\n<div><span class=\"author\">Sheshera Mysore, Mahmood Jasim, Andrew McCallum, and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2023 (SIGIR \u201923)<\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/abs\/2304.04250\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div id=\"Mysore:2021\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591687\" target=\"_blank\" rel=\"noopener\"><strong>FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation<\/strong><\/a><\/div>\n<div><span class=\"author\">Sebastian Hofst\u00e4tter, Jiecao Chen, Karthik Raman, and <em>Hamed Zamani<\/em><br \/><\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2023 (SIGIR \u201923)<\/span><\/div>\n<div><span class=\"periodical\">[<a href=\"https:\/\/arxiv.org\/pdf\/2209.14290.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div id=\"Mysore:2021\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591740\" target=\"_blank\" rel=\"noopener\"><strong>Multivariate Representation Learning for Information Retrieval<\/strong><\/a><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em> and Michael Bendersky<br \/><\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2023 (SIGIR \u201923)<\/span><\/div>\n<div><span class=\"periodical\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1481\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div id=\"Mysore:2021\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591769\" target=\"_blank\" rel=\"noopener\"><strong>Soft Prompt Decoding for Multilingual Dense Retrieval<\/strong><\/a><\/div>\n<div><span class=\"author\">Zhiqi Huang, Hansi Zeng, <em>Hamed Zamani<\/em>, and James Allan<br \/><\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2023 (SIGIR \u201923)<\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2305.09025.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div id=\"Chen:2018\"><a href=\"https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/hash\/cc473bb3ec4176a5e640c3a6b5fb5239-Abstract-Conference.html\"><strong>Learning List-Level Domain-Invariant Representations for Ranking<\/strong><\/a><\/div>\n<div>Ruicheng Xian, Honglei Zhuang, Zhen Qin, <em>Hamed Zamani<\/em>, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky<\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 37th Conference on Neural Information Processing Systems, <\/em>2023 (NeurIPS \u201923)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2212.10764.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] <strong>[Selected for Spotlight Presentation]<\/strong><br \/><\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div id=\"Hashemi:2019:ICTIR\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3578337.3605137\" target=\"_blank\" rel=\"noopener\"><strong>Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering<\/strong><\/a><\/div>\n<div><span class=\"author\">Alireza Salemi, Mahta Rafiee, and <em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 2023 ACM International Conference on the Theory of Information Retrieval, 2023 <\/em>(ICTIR \u201923)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2306.16478.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div id=\"Chen:2018\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3604915.3608829\" target=\"_blank\" rel=\"noopener\"><strong><span class=\"title\">Large Language Model Augmented Narrative Driven Recommendations<\/span><\/strong><\/a><\/div>\n<div><span class=\"author\">Sheshera Mysore, Andrew McCallum, and <em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 17th ACM Conference on Recommender Systems, <\/em>2023 (RecSys \u201923)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2306.02250.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><a href=\"https:\/\/assets.amazon.science\/46\/24\/9ab81abb4adb93136a83ab2ffb9b\/maruna-tb2-final-2023.pdf\" target=\"_blank\" rel=\"noopener\"><span class=\"author\"><b>Multi-Modal Augmentation for Large Language Models with Applications to Task-Oriented Dialogues<\/b><\/span><\/a><\/div>\n<div><span class=\"author\">Chris Samarinas, Pracha Promthaw, Rohan Lekhwani, Sheshera Mysore, Sung Ming Huang, Atharva Nijasure, Hansi Zeng, and <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><em>In Proceedings of the Second Alexa Prize TaskBot Challenge (Alexa Prize &#8217;23)<\/em><\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div>\u00a0<\/div>\n<header class=\"post-header\">\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02022\u00a0<\/span><\/h1>\n<\/div>\n<div id=\"Hauff:2021\"><strong style=\"color: initial\"><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3532678\" target=\"_blank\" rel=\"noopener\">Conversational Information Seeking: Theory and Application (Tutorial)<\/a><\/span><\/strong><\/div>\n<\/header>\n<div><span class=\"author\">Jeff Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski, Federico Rossetto, Johanne R. Trippas, <em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2022 (SIGIR \u201922)<\/span><\/div>\n<div>[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1460\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div><span class=\"title\"><strong><a href=\"https:\/\/asistdl.onlinelibrary.wiley.com\/doi\/full\/10.1002\/asi.24562\" target=\"_blank\" rel=\"noopener\">Analyzing Clarification in Asynchronous Information Seeking Conversations<\/a><\/strong><br \/><\/span><span class=\"author\">Leila Tavakoli, <em>Hamed Zamani<\/em>, Falk Scholer, W. Bruce Croft, and Mark Sanderson<br \/><\/span><span class=\"periodical\"><em>Journal of the Association for Information Science and Technology,\u00a0<\/em>2022 (JASIST)<br \/>[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1411\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<br \/><\/span><\/div>\n<div>\u00a0<\/div>\n<div><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531722\" target=\"_blank\" rel=\"noopener\">Retrieval-Enhanced Machine Learning<\/a><br \/><\/span><\/strong><span class=\"author\"><em>Hamed Zamani<\/em>*, Fernando Diaz*, Mostafa Dehghani, Donald Metzler, and Michael Bendersky<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2022 (SIGIR \u201922)<br \/>[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1453\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<br \/><\/span><\/div>\n<div>\u00a0<\/div>\n<div><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531750\" target=\"_blank\" rel=\"noopener\">MIMICS-Duo: Enabling Both Offline &amp; Online Evaluations for Search Clarification<\/a><br \/><\/span><\/strong><span class=\"author\">Leila Tavakoli, Johanne R. Trippas, <em>Hamed Zamani<\/em>, Falk Scholer, and Mark Sanderson<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2022 (SIGIR \u201922)<br \/>[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1450\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<span class=\"links\"> [<a href=\"https:\/\/github.com\/Leila-Ta\/MIMICS-Duo\" target=\"_blank\" rel=\"noopener\">Data<\/a>]<\/span><br \/><\/span><\/div>\n<div>\u00a0<\/div>\n<div><strong><span class=\"title\"><a href=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\"><img decoding=\"async\" class=\"alignnone wp-image-92\" src=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\" alt=\"\" width=\"30\" height=\"27\" \/><\/a><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531791\" target=\"_blank\" rel=\"noopener\">Curriculum Learning for Dense Retrieval Distillation<\/a><br \/><\/span><\/strong><span class=\"author\">Hansi Zeng, <em>Hamed Zamani<\/em>, Vishwa Vinay<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, <\/em>2022 (SIGIR \u201922)<\/span><\/div>\n<div><span class=\"periodical\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1456\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<span class=\"links\"> [<a href=\"https:\/\/github.com\/HansiZeng\/CL-DRD\" target=\"_blank\" rel=\"noopener\">Code<\/a>] <b>[Best Short Paper Award]<\/b><\/span><\/span><\/div>\n<div>\u00a0<\/div>\n<div>\n<div><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3539813.3545141\" target=\"_blank\" rel=\"noopener\">Stochastic Retrieval-Conditioned Reranking<\/a><br \/><\/span><\/strong><span class=\"author\"><em>Hamed Zamani*<\/em>, Michael Bendersky*, Donald Metzler, Honglei Zhuang, Xuanhui Wang<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, <\/em>2022 (ICTIR \u201922)<\/span><\/div>\n<div>[<a href=\"https:\/\/maroo.cs.umass.edu\/getpdf.php?id=1452\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3539813.3545138\" target=\"_blank\" rel=\"noopener\">Revisiting Open Domain Query Facet Extraction and Generation<\/a><br \/><\/span><\/strong><span class=\"author\">Chris Samarinas, Arkin Dharawat, <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, <\/em>2022 (ICTIR \u201922)<\/span><\/div>\n<div>[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1455\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div>\n<div id=\"Mysore:2021\"><a href=\"https:\/\/aclanthology.org\/2022.naacl-main.89\/\" target=\"_blank\" rel=\"noopener\"><strong>DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions<\/strong><\/a><\/div>\n<div>Neha Nayak Kennard, Tim O&#8217;Gorman, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Rajarshi Das, <em>Hamed Zamani<\/em>, Andrew McCallum<\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, <\/em>2022 (NAACL \u201922)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/openreview.net\/forum?id=HRxG0XibS-c\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<span class=\"periodical\"> [<a href=\"https:\/\/github.com\/nnkennard\/DISAPERE\/\" target=\"_blank\" rel=\"noopener\">Data<\/a>]<\/span><\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557666\" target=\"_blank\" rel=\"noopener\">Stochastic Optimization of Text Set Generation for Learning Multiple Query Intent Representations<\/a><br \/><\/span><\/strong><span class=\"author\">Helia Hashemi, <em>Hamed Zamani<\/em>, W. Bruce Croft<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 31st ACM International on Conference on Information and Knowledge Management, <\/em>2022 (CIKM \u201922)<\/span><\/div>\n<div>[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1457\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div><a href=\"https:\/\/aclanthology.org\/2022.emnlp-main.585\/\" target=\"_blank\" rel=\"noopener\"><strong>Predicting Prerequisite Relations for Unseen Concepts<\/strong><\/a><\/div>\n<div>Yaxin Zhu and <em>Hamed Zamani<\/em><\/div>\n<div>In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP &#8217;22)<br \/>[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1469\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div><a href=\"https:\/\/aclanthology.org\/2022.findings-emnlp.218\/\" target=\"_blank\" rel=\"noopener\"><strong>You Can&#8217;t Pick Your Neighbors, or Can You? When and How to Rely on Retrieval in the KNN-LM<\/strong><\/a><\/div>\n<div>Andrew Drozdov, Shufan Wang, Razieh Rahimi, Andrew McCallum, <em>Hamed Zamani<\/em>, Mohit Iyyer<\/div>\n<div>In Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP &#8217;22 Findings)<br \/>[<a href=\"https:\/\/arxiv.org\/abs\/2210.15859\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div>\n<div><span class=\"author\"><b>Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling<br \/><\/b>Sebastian Hofst\u00e4tter, Jiecao Chen, Karthik Raman, <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><em>In Proceedings of the ICML 2022 Workshop on Knowledge Retrieval and Language Models (KRLM @ ICML &#8217;22)<\/em><\/span><\/div>\n<div>[<a href=\"https:\/\/arxiv.org\/pdf\/2207.03030.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div><span class=\"author\"><b><a href=\"https:\/\/assets.amazon.science\/b9\/c3\/1ca90a9c4206b5f461f736a22152\/maruna-bot-an-extensible-retrieval-focused-framework-for-task-oriented-dialogues.pdf\" target=\"_blank\" rel=\"noopener\">Maruna Bot: An Extensible Retrieval-Focused Framework for Task-Oriented Dialogues<\/a><br \/><\/b>Amit Hattimare, Arkin Dharawat, Yelman Khan, Yen-Chieh Lien, Chris Samarinas, George Z. Wei, Yulin Yang, <em>Hamed Zamani<\/em><br \/><\/span><span class=\"periodical\"><em>In Proceedings of the First Alexa Prize TaskBot Challenge (Alexa Prize &#8217;22)<\/em><\/span><\/div>\n<div>[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1462\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/www.cics.umass.edu\/news\/zamani-hashemi-ciir-team-selected-2021-amazon-alexa-prize-challenge\" target=\"_blank\" rel=\"noopener\">CICS News<\/a>]\u00a0<\/div>\n<div>\u00a0<\/div>\n<div>\n<div id=\"Mysore:2021\"><strong>Are We There Yet? A Decision Framework for Replacing Term-Based Retrieval with Dense Retrieval Systems<\/strong><\/div>\n<div><span class=\"author\">Sebastian Hofst\u00e4tter, Nick Craswell, Bhaskar Mitra, <em>Hamed Zamani, <\/em>Allan Hanbury<\/span><\/div>\n<div><span class=\"periodical\"><i>arxiv, 2022<\/i>\u00a0(preprint)<br \/>[<a href=\"https:\/\/arxiv.org\/pdf\/2206.12993.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<header class=\"post-header\">\n<div>\u00a0<\/div>\n<\/header>\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02021\u00a0<\/span><\/h1>\n<\/div>\n<div id=\"Hauff:2021\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3465272\" target=\"_blank\" rel=\"noopener\">Conversational Search and Recommendation: Introduction to the Special Issue<\/a><br \/><\/span><\/strong><span class=\"author\">Claudia Hauff, Julia Kiseleva, Mark Sanderson,\u00a0<em>Hamed Zamani<\/em>, and Yongfeng Zhang<br \/><\/span><span class=\"periodical\"><em>ACM Transactions on Information Systems,\u00a0<\/em>2021 (TOIS)<br \/>[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1435\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Aliannejadi:2021\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3447678\" target=\"_blank\" rel=\"noopener\">Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants<\/a><br \/><\/span><\/strong><span class=\"author\">Mohammad Aliannejadi, <em>Hamed Zamani<\/em>, Fabio Crestani, and W. Bruce Croft<br \/><\/span><span class=\"periodical\"><em>ACM Transactions on Information Systems,\u00a0<\/em>2021 (TOIS)<br \/><\/span><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1409\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Deldjoo:2021\"><strong><span class=\"title\"><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11257-020-09285-1\" target=\"_blank\" rel=\"noopener\">A Flexible Framework for Evaluating User and Item Fairness in Recommender Systems<\/a><br \/><\/span><\/strong><span class=\"author\">Yashar Deldjoo, Vito Walter Anelli,\u00a0<em>Hamed Zamani<\/em>, Alejandro Bellogin, and Tommaso Di Noia<br \/><\/span><span class=\"periodical\"><em>User Modeling and User-Adapted Interaction,\u00a0<\/em>2021 (UMUAI)<br \/><\/span><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1375\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Liu:2021\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3442381.3449863\" target=\"_blank\" rel=\"noopener\">Generalizing Discriminative Retrieval Models using Generative Tasks<\/a><br \/><\/span><\/strong><span class=\"author\">Binsheng Liu,\u00a0<em>Hamed Zamani<\/em>, Xiaolu Lu, and J. Shane Culpepper<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 30th International Conference on World Wide Web,\u00a0<\/em>2021 (WWW \u201921)<br \/><\/span><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1414\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Hofstatter:2021:SIGIR\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3462889\" target=\"_blank\" rel=\"noopener\">Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking<\/a><br \/><\/span><\/strong><span class=\"author\">Sebastian Hofst\u00e4tter, Bhaskar Mitra,\u00a0<em>Hamed Zamani<\/em>, Nick Craswell, and Allan Hanbury<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2021 (SIGIR \u201921)<br \/><\/span><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1413\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div id=\"Deldjoo:2021:SIGIR\"><span class=\"title\"><br \/><strong><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3462806\" target=\"_blank\" rel=\"noopener\">Towards Multi-Modal Conversational Information Seeking<\/a><\/strong><br \/><\/span><span class=\"author\">Yashar Deldjoo, Johanne R. Trippas, and\u00a0<em>Hamed Zamani<br \/><\/em><\/span><span class=\"periodical\"><em>In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2021 (SIGIR \u201921)<br \/><\/span><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1430\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Jones:2021:SIGIR\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3462805\" target=\"_blank\" rel=\"noopener\">Current Challenges and Future Directions in Podcast Information Access<\/a><br \/><\/span><\/strong><span class=\"author\">Rosie Jones*,\u00a0<em>Hamed Zamani*<\/em>, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, and Ben Carterette<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2021 (SIGIR \u201921)<br \/><\/span><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1427\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Prakash:2021:SIGIR\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3463106\" target=\"_blank\" rel=\"noopener\">Learning Robust Dense Retrieval Models from Incomplete Relevance Labels<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Prafull Prakash, Julian Killingback, and\u00a0<em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2021 (SIGIR \u201921)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1429\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/purble\/RANCE\" target=\"_blank\" rel=\"noopener\">Code<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Qu:2021:SIGIR\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3462987\" target=\"_blank\" rel=\"noopener\">Passage Retrieval for Outside-Knowledge Visual Question Answering<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Chen Qu,\u00a0<em>Hamed Zamani<\/em>, Liu Yang, W. Bruce Croft, and Erik Learned-Miller<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2021 (SIGIR \u201921)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1424\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Mitra:2021:SIGIR\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3463049\" target=\"_blank\" rel=\"noopener\">Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Bhaskar Mitra, Sebastian Hofst\u00e4tter,\u00a0<em>Hamed Zamani<\/em>, and Nick Craswell<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2021 (SIGIR \u201921)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1428\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/bmitra-msft\/TREC-Deep-Learning-Quick-Start\" target=\"_blank\" rel=\"noopener\">Code<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3459637.3482445\" target=\"_blank\" rel=\"noopener\">Learning Multiple Intent Representations for Search Queries<\/a><\/span><\/strong><\/div>\n<div>\n<div><span class=\"author\">Helia Hashemi, <em>Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 30th ACM International on Conference on Information and Knowledge Management, <\/em>2021 (CIKM \u201921)<br \/><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1441\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><br \/><\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3459637.3482231\" target=\"_blank\" rel=\"noopener\">Analyzing Mixed Initiatives and Search Strategies during Conversational Search<\/a><\/span><\/strong><\/div>\n<div>\n<div><span class=\"author\">Mohammad Aliannejadi, Leif Azzopardi, <em>Hamed Zamani<\/em>, Evangelos Kanoulas, Paul Thomas and Nick Craswell<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 30th ACM International on Conference on Information and Knowledge Management, <\/em>2021 (CIKM \u201921)<br \/><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1442\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><br \/><\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div id=\"Arguello:2021\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3406522.3446021\" target=\"_blank\" rel=\"noopener\">Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra,\u00a0<em>Hamed Zamani<\/em>, and Fernando Diaz<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the Sixth ACM SIGIR Conference on Human Information Interaction and Retrieval,\u00a0<\/em>2021 (CHIIR \u201921)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1410\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/microsoft\/Tip-of-the-Tongue-Known-Item-Retrieval-Dataset-for-Movie-Identification\">Data<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div><strong><span class=\"title\"><a href=\"http:\/\/ceur-ws.org\/Vol-2950\/paper-17.pdf\" target=\"_blank\" rel=\"noopener\">Towards System-Initiative Conversational Information Seeking<\/a><\/span><\/strong><\/div>\n<div>Somin Wadhwa and<em> Hamed Zamani<br \/><\/em><em>In Proceedings of the Second International Conference on Design of Experimental Search and Information Retrieval Systems, <\/em>2021 (DESIRES \u201921)<br \/>[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1443\">Preprint<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div id=\"Mysore:2021\"><a href=\"https:\/\/datasets-benchmarks-proceedings.neurips.cc\/paper\/2021\/file\/20f07591c6fcb220ffe637cda29bb3f6-Paper-round2.pdf\" target=\"_blank\" rel=\"noopener\"><strong><span class=\"title\">CSFCube\u2013A Test Collection of Computer Science Research Articles for Faceted Query by Example<\/span><\/strong><\/a><\/div>\n<div><span class=\"author\">Sheshera Mysore, Tim O\u2019Gorman, Andrew McCallum, and\u00a0<em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><i>In Proceedings of the 35th Conference on Neural Information Processing Systems, 2021<\/i> (NeurIPS &#8217;21) &#8211; Datasets and Benchmarks Track<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/arxiv.org\/pdf\/2103.12906.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div>\n<div id=\"Mysore:2021\"><strong>Explaining Documents&#8217; Relevance to Search Queries<\/strong><\/div>\n<div><span class=\"author\">Razieh Rahimi, Youngwoo Kim, <em>Hamed Zamani,\u00a0<\/em>James Allan<\/span><\/div>\n<div><span class=\"periodical\"><i>arxiv, 2021<\/i> (preprint)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/arxiv.org\/abs\/2111.01314\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02020\u00a0<\/span><\/h1>\n<\/div>\n<div id=\"Guo:2019\"><strong><span class=\"title\"><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0306457319302390\" target=\"_blank\" rel=\"noopener\">A Deep Look into Neural Ranking Models for Information Retrieval<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai,\u00a0<em>Hamed Zamani<\/em>, Chen Wu, W. Bruce Croft, and Xueqi Cheng<\/span><\/div>\n<div><span class=\"periodical\"><em>Information Processing &amp; Management,\u00a0<\/em>2020 (IP&amp;M)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/arxiv.org\/pdf\/1903.06902.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2020:WWW\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3366423.3380126\" target=\"_blank\" rel=\"noopener\">Generating Clarifying Questions for Information Retrieval<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Susan Dumais, Nick Craswell, Paul Bennett, and Gord Lueck<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 29th International Conference on World Wide Web,\u00a0<\/em>2020 (WWW \u201920)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2020\/01\/webconf-2020-camera-zamani-et-al.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2020:WSDM\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3336191.3371818\" target=\"_blank\" rel=\"noopener\">Learning a Joint Search and Recommendation Model from User-Item Interactions<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 13th ACM International Conference on Web Search and Data Mining,\u00a0<\/em>2020 (WSDM \u201920)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"http:\/\/maroo.cs.umass.edu\/pub\/web\/getpdf.php?id=1338\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"http:\/\/ciir.cs.umass.edu\/downloads\/movie-search-ml20\/\" target=\"_blank\" rel=\"noopener\">Data<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2020:SIGIR\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401160\" target=\"_blank\" rel=\"noopener\">Analyzing and Learning from User Interactions for Search Clarification<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul Bennett, Nick Craswell, and Susan Dumais<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2020 (SIGIR \u201920)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/arxiv.org\/pdf\/2006.00166.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Hashemi:2020:SIGIR\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401061\" target=\"_blank\" rel=\"noopener\">Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Helia Hashemi,\u00a0<em>Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2020 (SIGIR \u201920)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/arxiv.org\/pdf\/2006.07548.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div id=\"Montazer:2020:SIGIR\"><span class=\"title\"><br \/><strong><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401099\" target=\"_blank\" rel=\"noopener\">A Reinforcement Learning Framework for Relevance Feedback<\/a><\/strong><\/span><\/div>\n<div><span class=\"author\">Ali Montazeralghaem,\u00a0<em>Hamed Zamani<\/em>, and James Allan<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2020 (SIGIR \u201920)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2020:Macaw\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401415\" target=\"_blank\" rel=\"noopener\">Macaw: An Extensible Conversational Information Seeking Platform<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, and Nick Craswell<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2020 (SIGIR \u201920)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/arxiv.org\/pdf\/1912.08904.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/microsoft\/macaw\" target=\"_blank\" rel=\"noopener\">Code<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Hofstatter:2020:SIGIR\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401224\" target=\"_blank\" rel=\"noopener\">Local Self-Attention over Long Text for Efficient Document Retrieval<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Sebastian Hofst\u00e4tter,\u00a0<em>Hamed Zamani<\/em>, Bhaskar Mitra, Nick Craswell, and Allan Hanbury<br \/><\/span><span class=\"periodical\"><em>In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2020 (SIGIR \u201920)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/arxiv.org\/pdf\/2005.04908.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Lien:2020:SIGIR\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401244\" target=\"_blank\" rel=\"noopener\">Recipe Retrieval with Visual Query of Ingredients<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Yen-Chieh Lien,\u00a0<em>Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2020 (SIGIR \u201920)<\/span><\/div>\n<div id=\"Zamani:2020:MIMICS\"><span class=\"title\"><br \/><strong><a href=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\"><img decoding=\"async\" class=\"alignnone wp-image-92\" src=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\" alt=\"\" width=\"30\" height=\"27\" \/><\/a><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412772\" target=\"_blank\" rel=\"noopener\">MIMICS: A Large-Scale Data Collection for Search Clarification<\/a><\/strong><\/span><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, and Nick Craswell<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 29th ACM International on Conference on Information and Knowledge Management,\u00a0<\/em>2020 (CIKM \u201920)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/arxiv.org\/pdf\/2006.10174.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/microsoft\/mimics\" target=\"_blank\" rel=\"noopener\">Data<\/a>]\u00a0<b>[Best Paper Award &#8211; Resource Track]<\/b><\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Hashemi:2020:ECIR\"><strong><span class=\"title\"><a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-030-45442-5_21\" target=\"_blank\" rel=\"noopener\">ANTIQUE: A Non-Factoid Question Answering Benchmark<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Helia Hashemi, Mohammad Aliannejadi,\u00a0<em>Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 42nd European Conference on Information Retrieval,\u00a0<\/em>2020 (ECIR \u201920)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/arxiv.org\/pdf\/1905.08957.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/ciir.cs.umass.edu\/downloads\/Antique\/\" target=\"_blank\" rel=\"noopener\">Data<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Mitra:2020:TREC\"><strong><span class=\"title\"><a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1408\" target=\"_blank\" rel=\"noopener\">Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Bhaskar Mitra, Sebastian Hofst\u00e4tter,\u00a0<em>Hamed Zamani<\/em>, and Nick Craswell<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 2020 Text REtrieval Conference,\u00a0<\/em>2020 (TREC \u201920)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/github.com\/bmitra-msft\/TREC-Deep-Learning-Quick-Start\" target=\"_blank\" rel=\"noopener\">Code<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Balog:2020\"><strong><span class=\"title\">Common Conversational Community Prototype: Scholarly Conversational Assistant<\/span><\/strong><\/div>\n<div><span class=\"author\">Krisztian Balog, Lucie Flekova, Matthias Hagen, Rosie Jones, Martin Potthast, Filip Radlinski, Mark Sanderson, Svitlana Vakulenko, and\u00a0<em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><em>arxiv,\u00a0<\/em>2020 (preprint)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/arxiv.org\/pdf\/2001.06910.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02019\u00a0<\/span><\/h1>\n<\/div>\n<div id=\"Zamani:2019:thesis\"><strong><span class=\"title\"><a href=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\"><img decoding=\"async\" class=\"alignnone wp-image-92\" src=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\" alt=\"\" width=\"28\" height=\"30\" \/><\/a><a href=\"https:\/\/scholarworks.umass.edu\/dissertations_2\/1787\/\" target=\"_blank\" rel=\"noopener\">Neural Models for Information Retrieval without Labaled Data<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><em>University of Massachusetts Amherst,\u00a0<\/em>2019 (Ph.D. Dissertation)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1378\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]\u00a0<b>[UMass CICS Outstanding Dissertation Award]<\/b><\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2019:TIST\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3344257\" target=\"_blank\" rel=\"noopener\">An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Markus Schedl, Paul Lamere, and Ching-Wei Chen<\/span><\/div>\n<div><span class=\"periodical\"><em>ACM Transactions on Intelligent Systems and Technology,\u00a0<\/em>2019 (TIST)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/arxiv.org\/pdf\/1810.01520.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Aliannejadi:2019\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?doid=3331184.3331265\" target=\"_blank\" rel=\"noopener\">Asking Clarifying Questions in Open-Domain Information Seeking Conversations<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Mohammad Aliannejadi,\u00a0<em>Hamed Zamani<\/em>, Fabio Crestani, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2019 (SIGIR \u201919)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1339\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/aliannejadi\/qulac\" target=\"_blank\" rel=\"noopener\">Data<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Naseri:2019\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?doid=3331184.3331301\" target=\"_blank\" rel=\"noopener\">Analyzing and Predicting News Popularity in an Instant Messaging Service<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Mohammad Naseri, and\u00a0<em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2019 (SIGIR \u201919)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1312\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/bit.ly\/TelegramNewsData\" target=\"_blank\" rel=\"noopener\">Data<\/a>]<\/span><\/div>\n<div id=\"Hashemi:2019:ICTIR\"><span class=\"title\"><br \/><strong><a href=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\"><img decoding=\"async\" class=\"alignnone wp-image-92\" src=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\" alt=\"\" width=\"28\" height=\"30\" \/><\/a><\/strong><strong><a href=\"https:\/\/dl.acm.org\/citation.cfm?doid=3341981.3344249\" target=\"_blank\" rel=\"noopener\">Performance Prediction for Non-Factoid Question Answering<\/a><\/strong><\/span><\/div>\n<div><span class=\"author\">Helia Hashemi,\u00a0<em>Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 2019 ACM International Conference on the Theory of Information Retrieval,\u00a0<\/em>2019 (ICTIR \u201919)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1363\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]\u00a0<b>[Best Short Paper Honorable Mention]<\/b><\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Das:2019\"><strong><span class=\"title\"><a href=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\"><img decoding=\"async\" class=\"alignnone wp-image-92\" src=\"https:\/\/groups.cs.umass.edu\/zamani\/wp-content\/uploads\/sites\/41\/2021\/07\/award.png\" alt=\"\" width=\"28\" height=\"30\" \/><\/a><a href=\"https:\/\/arxiv.org\/pdf\/1909.07598.pdf\" target=\"_blank\" rel=\"noopener\">Multi-Step Entity-Centric Information Retrieval for Multi-Hop Question Answering<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao,\u00a0<em>Hamed Zamani<\/em>, Manzil Zaheer, and Andrew McCallum<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the EMNLP 2019 Workshop on Machine Reading for Question Answering,\u00a0<\/em>2019 (MRQA @ EMNLP \u201919)<\/span><\/div>\n<div><span class=\"links\"><b>[Best Paper Award]<\/b><\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Deldjoo:2019\"><strong><span class=\"title\"><a href=\"http:\/\/ceur-ws.org\/Vol-2440\/short3.pdf\" target=\"_blank\" rel=\"noopener\">Recommender Systems Fairness Evaluation via Generalized Cross Entropy<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Yashar Deldjoo, Vito Walter Anelli,\u00a0<em>Hamed Zamani<\/em>, Alejandro Bellogin, and Tommaso Di Noia<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 2019 ACM RecSys Workshop on Recommendation in Multistakeholder Environments,\u00a0<\/em>2019 (RMSE @ RecSys \u201919)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Padigela:2019\"><strong><span class=\"title\"><a href=\"https:\/\/arxiv.org\/pdf\/1905.01758.pdf\" target=\"_blank\" rel=\"noopener\">Investigating the Successes and Failures of BERT for Passage Re-Ranking<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Harshith Padigela,\u00a0<em>Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>arxiv,\u00a0<\/em>2019 (preprint)<\/span><\/div>\n<div>\u00a0<\/div>\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02018\u00a0<\/span><\/h1>\n<\/div>\n<div id=\"Zamani:2018:SIGIR:LND4IR\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3210200\" target=\"_blank\" rel=\"noopener\">SIGIR Workshop on Learning from Limited or Noisy Data for Information Retrieval (LND4IR)<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Mostafa Dehghani, Fernando Diaz, Hang Li, and Nick Craswell<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2018 (SIGIR \u201918)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Chen:2018\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3240342\" target=\"_blank\" rel=\"noopener\">RecSys Challenge 2018: Automatic Music Playlist Continuation<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Ching-Wei Chen, Paul Lamere, Markus Schedl, and\u00a0<em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 12th ACM Conference on Recommender Systems,\u00a0<\/em>2018 (RecSys \u201918)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2018:IRJ\"><strong><span class=\"title\"><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10791-018-9327-0\" target=\"_blank\" rel=\"noopener\">A Language Model-based Framework for Multi-publisher Content-based Recommender Systems<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>Information Retrieval Journal,\u00a0<\/em>2018 (IRJ)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Tabrizi:2018\"><strong><span class=\"title\"><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0306457317307811\" target=\"_blank\" rel=\"noopener\">PERSON: Personalized Information Retrieval Evaluation Based on Citation Networks<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Shayan A. Tabrizi, Azadeh Shakery,\u00a0<em>Hamed Zamani<\/em>, and Mohammad Ali Tavallaei<\/span><\/div>\n<div><span class=\"periodical\"><em>Information Processing &amp; Management,\u00a0<\/em>2018 (IP&amp;M)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1316\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Schedl:2018\"><strong><span class=\"title\"><a href=\"https:\/\/doi.org\/10.1007\/s13735-018-0154-2\" target=\"_blank\" rel=\"noopener\">Current Challenges and Visions in Music Recommender Systems Research<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Markus Schedl,\u00a0<em>Hamed Zamani<\/em>, Ching-Wei Chen, Yashar Deldjoo, and Mehdi Elahi<\/span><\/div>\n<div><span class=\"periodical\"><em>International Journal of Multimedia Information Retrieval,\u00a0<\/em>2018 (IJMIR)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/arxiv.org\/pdf\/1710.03208.pdf\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2018:WSDM\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3159652.3159730\" target=\"_blank\" rel=\"noopener\">Neural Ranking Models with Multiple Document Fields<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Bhaskar Mitra, Xia Song, Nick Craswell, and Saurabh Tiwary<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 11th ACM International Conference on Web Search and Data Mining,\u00a0<\/em>2018 (WSDM \u201918)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1290\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2018:SIGIR\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3210041\" target=\"_blank\" rel=\"noopener\">Neural Query Performance Prediction using Weak Supervision from Multiple Signals<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, W. Bruce Croft, and J. Shane Culpepper<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2018 (SIGIR \u201918)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1300\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Aliannejadi:2018\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3210039\" target=\"_blank\" rel=\"noopener\">Target Apps Selection: Towards a Unified Search Framework for Mobile Devices<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Mohammad Aliannejadi,\u00a0<em>Hamed Zamani<\/em>, Fabio Crestani, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2018 (SIGIR \u201918)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1301\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"http:\/\/aliannejadi.com\/unimobile.html\" target=\"_blank\" rel=\"noopener\">Data<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Cohen:2018\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3210137\" target=\"_blank\" rel=\"noopener\">Universal Approximation Functions for Fast Learning to Rank<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Daniel Cohen, John Foley,\u00a0<em>Hamed Zamani<\/em>, James Allan, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2018 (SIGIR \u201918)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1309\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Bonab:2018\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3210162\" target=\"_blank\" rel=\"noopener\">Citation Worthiness of Sentences in Scientific Reports<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Hamed Bonab,\u00a0<em>Hamed Zamani<\/em>, Erik Learned-Miller, and James Allan<\/span><span class=\"periodical\"><em>In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2018 (SIGIR \u201918)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1314\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/ciir.cs.umass.edu\/downloads\/sigir18_citation\/\" target=\"_blank\" rel=\"noopener\">Data<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Montazeralghaem:2018\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3210156\" target=\"_blank\" rel=\"noopener\">Theoretical Analysis of Interdependent Constraints in Pseudo-Relevance Feedback<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Ali Montazeralghaem,\u00a0<em>Hamed Zamani<\/em>, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2018 (SIGIR \u201918)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1327\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2018:CIKM\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3271800\" target=\"_blank\" rel=\"noopener\">From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Mostafa Dehghani, W. Bruce Croft, Erik Learned-Miller, and Jaap Kamps<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 27th ACM International on Conference on Information and Knowledge Management,\u00a0<\/em>2018 (CIKM \u201918)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1302\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"https:\/\/github.com\/hamed-zamani\/snrm\" target=\"_blank\" rel=\"noopener\">Code<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Aliannejadi:2018:CIKM\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3271679\" target=\"_blank\" rel=\"noopener\">In Situ and Context-Aware Target Apps Selection for Unified Mobile Search<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Mohammad Aliannejadi,\u00a0<em>Hamed Zamani<\/em>, Fabio Crestani, and W. Bruce Croft<\/span><span class=\"periodical\"><em>In Proceedings of the 27th ACM International on Conference on Information and Knowledge Management,\u00a0<\/em>2018 (CIKM \u201918)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1323\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>] [<a href=\"http:\/\/aliannejadi.com\/istas.html\" target=\"_blank\" rel=\"noopener\">Data<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2018:ICTIR\"><strong><span class=\"title\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3234968\" target=\"_blank\" rel=\"noopener\">On the Theory of Weak Supervision for Information Retrieval<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>\\Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 2018 ACM International Conference on the Theory of Information Retrieval,\u00a0<\/em>2018 (ICTIR \u201918)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1321\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2018:DESIRES\"><strong><span class=\"title\"><a href=\"http:\/\/ceur-ws.org\/Vol-2167\/paper2.pdf\" target=\"_blank\" rel=\"noopener\">Joint Modeling and Optimization of Search and Recommendation<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the First International Conference on Design of Experimental Search and Information Retrieval Systems,\u00a0<\/em>2018 (DESIRES \u201918)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Shahshahani:2018\"><strong><span class=\"title\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-76941-7_66\" target=\"_blank\" rel=\"noopener\">Towards a Unified Supervised Approach for Ranking Triples of Type-like Relations<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Mahsa S. Shahshahani, Faegheh Hasibi,\u00a0<em>Hamed Zamani<\/em>, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 40th European Conference on Information Retrieval,\u00a0<\/em>2018 (ECIR \u201918)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1293\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2018:LND4IR\"><strong><span class=\"title\"><a href=\"https:\/\/arxiv.org\/abs\/1806.04815\" target=\"_blank\" rel=\"noopener\">Towards Theoretical Understanding of Weak Supervision for Information Retrieval<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the SIGIR 2018 Workshop on Learning From Limited or Noisy Data for Information Retrieval,\u00a0<\/em>2018 (LND4IR \u201918)<\/span><\/div>\n<div>\u00a0<\/div>\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02017\u00a0<\/span><\/h1>\n<\/div>\n<div id=\"Dadashkarimi:2017\"><strong><span class=\"title\"><a href=\"https:\/\/dx.doi.org\/10.1016\/j.ipm.2016.11.007\" target=\"_blank\" rel=\"noopener\">An Expectation-Maximization Algorithm for Query Translation Based on Pseudo-Relevant Documents<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Javid Dadashkarimi, Azadeh Shakery, Heshaam Faili, and\u00a0<em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><em>Information Processing &amp; Management,\u00a0<\/em>2017 (IP&amp;M)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1226\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2017:SCR:3038912.3052648\"><strong><span class=\"title\"><a href=\"https:\/\/doi.org\/10.1145\/3038912.3052648\" target=\"_blank\" rel=\"noopener\">Situational Context for Ranking in Personal Search<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Michael Bendersky, Xuanhui Wang, and Mingyang Zhang<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 26th International Conference on World Wide Web,\u00a0<\/em>2017 (WWW \u201917)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1268\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2017:RWE:3077136.3080831\"><strong><span class=\"title\"><a href=\"http:\/\/doi.acm.org\/10.1145\/3077136.3080831\" target=\"_blank\" rel=\"noopener\">Relevance-based Word Embedding<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2017 (SIGIR \u201917)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1267\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Dehghani:2017:NRM:3077136.3080832\"><strong><span class=\"title\"><a href=\"http:\/\/doi.acm.org\/10.1145\/3077136.3080832\" target=\"_blank\" rel=\"noopener\">Neural Ranking Models with Weak Supervision<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Mostafa Dehghani,\u00a0<em>Hamed Zamani<\/em>, Aliaksei Severyn, Jaap Kamps, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2017 (SIGIR \u201917)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1266\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Montazeralghaem:2017:TPC:3077136.3080728\"><strong><span class=\"title\"><a href=\"http:\/\/doi.acm.org\/10.1145\/3077136.3080728\" target=\"_blank\" rel=\"noopener\">Term Proximity Constraints for Pseudo-Relevance Feedback<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Ali Montazeralghaem,\u00a0<em>Hamed Zamani<\/em>, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2017 (SIGIR \u201917)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1239\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Ariannezhad:2017:IRP:3077136.3080761\"><strong><span class=\"title\"><a href=\"http:\/\/doi.acm.org\/10.1145\/3077136.3080761\" target=\"_blank\" rel=\"noopener\">Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Mozhdeh Ariannezhad, Ali Montazeralghaem,\u00a0<em>Hamed Zamani<\/em>, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2017 (SIGIR \u201917)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1276\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Rekabsaz:2017:WEC:3077136.3080733\"><strong><span class=\"title\"><a href=\"http:\/\/doi.acm.org\/10.1145\/3077136.3080733\" target=\"_blank\" rel=\"noopener\">Word Embedding Causes Topic Shifting; Exploit Global Context!<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Navid Rekabsaz, Mihai Lupu, Allan Hanbury, and\u00a0<em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2017 (SIGIR \u201917)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1277\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"RahmatizadehZagheli:2017:SPU:3109859.3109904\"><strong><span class=\"title\"><a href=\"http:\/\/doi.acm.org\/10.1145\/3109859.3109904\" target=\"_blank\" rel=\"noopener\">A Semantic-Aware Profile Updating Model for Text Recommendation<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Hossein Rahmatizadeh Zagheli,\u00a0<em>Hamed Zamani<\/em>, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the Eleventh ACM Conference on Recommender Systems,\u00a0<\/em>2017 (RecSys \u201917)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1282\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Ariannezhad2017\"><strong><span class=\"title\"><a href=\"https:\/\/doi.org\/10.1007\/978-3-319-56608-5_65\" target=\"_blank\" rel=\"noopener\">Iterative Estimation of Document Relevance Score for Pseudo-Relevance Feedback<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Mozhdeh Ariannezhad, Ali Montazeralghaem,\u00a0<em>Hamed Zamani<\/em>, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 39th European Conference on Information Retrieval,\u00a0<\/em>2017 (ECIR \u201917)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1254\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Yang:2017\"><strong><span class=\"title\"><a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1283\" target=\"_blank\" rel=\"noopener\">Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Liu Yang,\u00a0<em>Hamed Zamani<\/em>, Yongfeng Zhang, Jiafeng Guo, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 2017 Workshop on Neural Information Retrieval,\u00a0<\/em>2017 (NeuIR@SIGIR\u00a0\u201917)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Ai:2017\"><strong><span class=\"title\"><a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1288\" target=\"_blank\" rel=\"noopener\">UMass at TREC 2017 Common Core Track<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Qingyao Ai,\u00a0<em>Hamed Zamani<\/em>, Stephen Harding, Shahrzad Naseri, James Allan, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 2017 Text REtrieval Conference,\u00a0<\/em>2017 (TREC \u201917)<\/span><\/div>\n<div>\u00a0<\/div>\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02016\u00a0<\/span><\/h1>\n<\/div>\n<div id=\"Zamani:2016c\"><strong><span class=\"title\"><a href=\"https:\/\/dx.doi.org\/10.1016\/j.csl.2016.03.002\" target=\"_blank\" rel=\"noopener\">Sentence Alignment Using Local and Global Information<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Heshaam Faili, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>Computer Speech &amp; Language,\u00a0<\/em>2016 (CSL)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2016:PFB:2983323.2983844\"><strong><span class=\"title\"><a href=\"http:\/\/doi.acm.org\/10.1145\/2983323.2983844\" target=\"_blank\" rel=\"noopener\">Pseudo-Relevance Feedback Based on Matrix Factorization<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Javid Dadashkarimi, Azadeh Shakery, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management,\u00a0<\/em>2016 (CIKM \u201916)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1224\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2016:EEV:2970398.2970403\"><strong><span class=\"title\"><a href=\"http:\/\/doi.acm.org\/10.1145\/2970398.2970403\" target=\"_blank\" rel=\"noopener\">Estimating Embedding Vectors for Queries<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval,\u00a0<\/em>2016 (ICTIR \u201916)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1234\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2016:EQL:2970398.2970405\"><strong><span class=\"title\"><a href=\"http:\/\/doi.acm.org\/10.1145\/2970398.2970405\" target=\"_blank\" rel=\"noopener\">Embedding-based Query Language Models<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, and W. Bruce Croft<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval,\u00a0<\/em>2016 (ICTIR \u201916)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1225\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Montazeralghaem:2016:AAI:2911451.2914768\"><strong><span class=\"title\"><a href=\"http:\/\/doi.acm.org\/10.1145\/2911451.2914768\" target=\"_blank\" rel=\"noopener\">Axiomatic Analysis for Improving the Log-Logistic Feedback Model<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Ali Montazeralghaem,\u00a0<em>Hamed Zamani<\/em>, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2016 (SIGIR \u201916)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1232\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Montazeralghaem:2016a\"><strong><span class=\"title\"><a href=\"https:\/\/dx.doi.org\/10.1007\/978-3-319-30671-1_64\" target=\"_blank\" rel=\"noopener\">Cross Domain User Engagement Evaluation<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Ali Montazeralghaem,\u00a0<em>Hamed Zamani<\/em>, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 38th European Conference on Information Retrieval,\u00a0<\/em>2016 (ECIR \u201916)<\/span><\/div>\n<div><span class=\"links\">[<a href=\"https:\/\/ciir-publications.cs.umass.edu\/pub\/web\/getpdf.php?id=1219\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>]<\/span><\/div>\n<div>\u00a0<\/div>\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02015\u00a0<\/span><\/h1>\n<\/div>\n<div id=\"Zamani:2015:thesis\"><strong><span class=\"title\">Recommender Systems in Multi-Publisher Environments<\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em><\/span><\/div>\n<div><span class=\"periodical\"><em>University of Tehran,\u00a0<\/em>2015 (M.Sc. Thesis)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2015:AUE:2766462.2767785\"><strong><span class=\"title\"><a href=\"http:\/\/doi.acm.org\/10.1145\/2766462.2767785\" target=\"_blank\" rel=\"noopener\">Adaptive User Engagement Evaluation via Multi-task Learning<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Pooya Moradi, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval,\u00a0<\/em>2015 (SIGIR \u201915)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"cdesouza-EtAl:2015:NAACL-HLT\"><strong><span class=\"title\"><a href=\"http:\/\/www.aclweb.org\/anthology\/N15-1073\" target=\"_blank\" rel=\"noopener\">Multitask Learning for Adaptive Quality Estimation of Automatically Transcribed Utterances<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Jos\u00e9 G. Souza,\u00a0<em>Hamed Zamani<\/em>, Matteo Negri, Marco Turchi, and Falavigna Daniele<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies,\u00a0<\/em>2015 (NAACL \u201915)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2015b\"><strong><span class=\"title\"><a href=\"http:\/\/books.openedition.org\/aaccademia\/pdf\/1562\" target=\"_blank\" rel=\"noopener\">Reference-free and Confidence-independent Binary Quality Estimation for Automatic Speech Recognition<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Jos\u00e9 G. Souza, Matteo Negri, Marco Turchi, and Falavigna Daniele<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the Second Italian Conference on Computational Linguistic,\u00a0<\/em>2015 (CLiC-It \u201915)<\/span><\/div>\n<div>\u00a0<\/div>\n<div><hr \/>\n<h1 class=\"year\" style=\"text-align: right\"><span style=\"color: #ffffff;background-color: #808080\">\u00a02014\u00a0<\/span><\/h1>\n<\/div>\n<div id=\"Zamani:2014:RLR:2668067.2668077\"><strong><span class=\"title\"><a href=\"http:\/\/doi.acm.org\/10.1145\/2668067.2668077\" target=\"_blank\" rel=\"noopener\">Regression and Learning to Rank Aggregation for User Engagement Evaluation<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Azadeh Shakery, and Pooya Moradi<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the 2014 Recommender Systems Challenge,\u00a0<\/em>2014 (RecSysChallenge \u201914)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Zamani:2014a\"><strong><span class=\"title\"><a href=\"https:\/\/dx.doi.org\/10.1007\/978-3-319-11382-1_13\" target=\"_blank\" rel=\"noopener\">Authorship Identification Using Dynamic Selection of Features from Probabilistic Feature Set<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\"><em>Hamed Zamani<\/em>, Hossein Nasr Esfahani, Pariya Babaie, Samira Abnar, Mostafa Dehghani, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of Information Access Evaluation. Multilinguality, Multimodality, and Interaction &#8211; 5th International Conference of the CLEF Initiative,\u00a0<\/em>2014 (CLEF \u201914)<\/span><\/div>\n<div>\u00a0<\/div>\n<div id=\"Abnar:2014\"><strong><span class=\"title\"><a href=\"http:\/\/ceur-ws.org\/Vol-1180\/CLEF2014wn-Pan-AbnarEt2014.pdf\" target=\"_blank\" rel=\"noopener\">Expanded N-Grams for Semantic Text Alignment<\/a><\/span><\/strong><\/div>\n<div><span class=\"author\">Samira Abnar, Mostafa Dehghani,\u00a0<em>Hamed Zamani<\/em>, and Azadeh Shakery<\/span><\/div>\n<div><span class=\"periodical\"><em>In Proceedings of the CLEF 2014 Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse,\u00a0<\/em>2014 (PAN \u201914)<\/span><\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>Publications in reversed chronological order. dblp,\u00a0Google Scholar \u00a02026\u00a0 Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs Mohammad Tavakoli, Alireza Salemi, Carrie Ye, Mohamed Abdalla, Hamed Zamani, J. Ross MitchellIn Proceedings of the 14th International Conference on Learning Representations, 2026 (ICLR &#8217;26) [Preprint] \u00a0 Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question &hellip; <a href=\"https:\/\/groups.cs.umass.edu\/zamani\/publications\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Publications&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-16","page","type-page","status-publish","hentry","hfeed"],"_links":{"self":[{"href":"https:\/\/groups.cs.umass.edu\/zamani\/wp-json\/wp\/v2\/pages\/16","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/groups.cs.umass.edu\/zamani\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/groups.cs.umass.edu\/zamani\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/groups.cs.umass.edu\/zamani\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/groups.cs.umass.edu\/zamani\/wp-json\/wp\/v2\/comments?post=16"}],"version-history":[{"count":183,"href":"https:\/\/groups.cs.umass.edu\/zamani\/wp-json\/wp\/v2\/pages\/16\/revisions"}],"predecessor-version":[{"id":899,"href":"https:\/\/groups.cs.umass.edu\/zamani\/wp-json\/wp\/v2\/pages\/16\/revisions\/899"}],"wp:attachment":[{"href":"https:\/\/groups.cs.umass.edu\/zamani\/wp-json\/wp\/v2\/media?parent=16"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}