Hamed Zamani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
113
Venues
13
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
113 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHIIR | Can Instructed Retrieval Models Really Support Exploration? | Piyush Maheshwari, Sheshera Mysore, Hamed Zamani |
| 2026 | ICTIR | Plan-and-Refine in RAG: Generating Diverse and Comprehensive Responses through Global Exploration and Local Exploitation. | Alireza Salemi, Chris Samarinas, Hamed Zamani |
| 2026 | WWW | Inferential Question Answering. | Jamshid Mozafari, Hamed Zamani, Guido Zuccon, Adam Jatowt |
| 2026 | WWW | Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering. | Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Amba Hombaiah, Weize Kong, Tao Chen, Hamed Zamani, Michael Bendersky |
| 2026 | SIGIR | Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering. | Maryam Amirizaniani, Alireza Salemi, Hamed Zamani |
| 2026 | SIGIR | Scaling Laws for Embedding Dimension in Information Retrieval. | Julian Killingback, Mahta Rafiee, Madine Manas, Hamed Zamani |
| 2026 | SIGIR | Evaluation of Agents under Simulated AI Marketplace Dynamics. | To Eun Kim, Alireza Salemi, Hamed Zamani, Fernando Diaz |
| 2026 | SIGIR | Total Recall QA: A Verifiable Evaluation Suite for Deep Research Agents. | Mahta Rafiee, Heydar Soudani, Zahra Abbasiantaeb, Mohammad Aliannejadi, Faegheh Hasibi, Hamed Zamani |
| 2026 | SIGIR | Learning from Natural Language Feedback for Personalized Question Answering. | Alireza Salemi, Hamed Zamani |
| 2026 | SIGIR | Uncertainty Quantification for Retrieval-Augmented Reasoning. | Heydar Soudani, Hamed Zamani, Faegheh Hasibi |
| 2026 | SIGIR | Exploring and Improving Cross- and Multi-Domain Personalized Question Answering via a Dual Retrieval Augmentation Approach. | Ozel Yilmazel, Hamed Zamani, James Allan |
| 2025 | ACL | ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation. | Alireza Salemi, Julian Killingback, Hamed Zamani |
| 2025 | ACL | Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation. | Chris Samarinas, Alexander Krubner, Alireza Salemi, Youngwoo Kim, Hamed Zamani |
| 2025 | ACL | Personalized Generation In Large Model Era: A Survey. | Yiyan Xu, Jinghao Zhang, Alireza Salemi, Xinting Hu, Wenjie Wang, Fuli Feng, Hamed Zamani, Xiangnan He, Tat-Seng Chua |
| 2025 | ASPLOS | Accelerating Retrieval-Augmented Generation. | Derrick Quinn, Mohammad Nouri, Neel Patel, John Salihu, Alireza Salemi, Sukhan Lee, Hamed Zamani, Mohammad Alian |
| 2025 | CIKM | ProActLLM: Proactive Conversational Information Seeking with Large Language Models. | Shubham Chatterjee, Xi Wang, Shuo Zhang, Sajad Ebrahimi, Zhaochun Ren, Debasis Ganguly, Gareth J. F. Jones, Emine Yilmaz, Hamed Zamani |
| 2025 | EMNLP | LaMP-QA: A Benchmark for Personalized Long-form Question Answering. | Alireza Salemi, Hamed Zamani |
| 2025 | ICTIR | Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization. | Alireza Salemi, Hamed Zamani |
| 2025 | ICTIR | Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models. | Alireza Salemi, Hamed Zamani |
| 2025 | ICTIR | Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking. | Chris Samarinas, Hamed Zamani |
| 2025 | ICTIR | Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications. | Leila Tavakoli, Hamed Zamani |
| 2025 | SIGIR | The Second Tutorial on Retrieval-Enhanced Machine Learning: Synthesis and Opportunities. | Fernando Diaz, Andrew Drozdov, To Eun Kim, Alireza Salemi, Hamed Zamani |
| 2025 | SIGIR | Hypencoder: Hypernetworks for Information Retrieval. | Julian Killingback, Hansi Zeng, Hamed Zamani |
| 2025 | SIGIR | Bridging Personalization and Control in Scientific Personalized Search. | Sheshera Mysore, Garima Dhanania, Kishor Patil, Surya Kallumadi, Andrew McCallum, Hamed Zamani |
| 2025 | SIGIR | Scaling Sparse and Dense Retrieval in Decoder-Only LLMs. | Hansi Zeng, Julian Killingback, Hamed Zamani |
| 2024 | ACL | LaMP: When Large Language Models Meet Personalization. | Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani |
| 2024 | KDD | First Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis |
| 2024 | NAACL | ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification. | Yaxin Zhu, Hamed Zamani |
| 2024 | WWW | Scalable and Effective Generative Information Retrieval. | Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani |
| 2024 | SIGIR | The Second Workshop on Large Language Models for Individuals, Groups, and Society. | Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang |
| 2024 | SIGIR | Third Workshop on Personalization and Recommendations in Search (PaRiS). | Sudarshan Lamkhede, Hamed Zamani, Moumita Bhattacharya, Hongning Wang |
| 2024 | SIGIR | Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation. | Alireza Salemi, Surya Kallumadi, Hamed Zamani |
| 2024 | SIGIR | Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models. | Alireza Salemi, Hamed Zamani |
| 2024 | SIGIR | Evaluating Retrieval Quality in Retrieval-Augmented Generation. | Alireza Salemi, Hamed Zamani |
| 2024 | SIGIR | ProCIS: A Benchmark for Proactive Retrieval in Conversations. | Chris Samarinas, Hamed Zamani |
| 2024 | SIGIR | Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization. | Hamed Zamani, Michael Bendersky |
| 2024 | SIGIR | Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding. | Hansi Zeng, Chen Luo, Hamed Zamani |
| 2024 | WSDM | WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. | Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang |
| 2024 | WSDM | The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024). | Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis |
| 2023 | ICTIR | Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering. | Alireza Salemi, Mahta Rafiee, Hamed Zamani |
| 2023 | RecSys | Large Language Model Augmented Narrative Driven Recommendations. | Sheshera Mysore, Andrew McCallum, Hamed Zamani |
| 2023 | WWW | The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). | Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Kk-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu |
| 2023 | SIGIR | SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023). | Michael Bendersky, Danqi Chen, Fernando Diaz, Hamed Zamani |
| 2023 | SIGIR | FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. | Sebastian Hofsttter, Jiecao Chen, Karthik Raman, Hamed Zamani |
| 2023 | SIGIR | Soft Prompt Decoding for Multilingual Dense Retrieval. | Zhiqi Huang, Hansi Zeng, Hamed Zamani, James Allan |
| 2023 | SIGIR | Editable User Profiles for Controllable Text Recommendations. | Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani |
| 2023 | SIGIR | A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering. | Alireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani |
| 2023 | SIGIR | Multivariate Representation Learning for Information Retrieval. | Hamed Zamani, Michael Bendersky |
| 2023 | SIGIR | A Personalized Dense Retrieval Framework for Unified Information Access. | Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Nogueira, Hamed Zamani |
| 2022 | CIKM | Stochastic Optimization of Text Set Generation for Learning Multiple Query Intent Representations. | Helia Hashemi, Hamed Zamani, W. Bruce Croft |
| 2022 | CIKM | Towards Mixed-Initiative Conversational Information Seeking. | Hamed Zamani |
| 2022 | EMNLP | You can't pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM. | Andrew Drozdov, Shufan Wang, Razieh Rahimi, Andrew McCallum, Hamed Zamani, Mohit Iyyer |
| 2022 | EMNLP | Predicting Prerequisite Relations for Unseen Concepts. | Yaxin Zhu, Hamed Zamani |
| 2022 | ICTIR | Revisiting Open Domain Query Facet Extraction and Generation. | Chris Samarinas, Arkin Dharawat, Hamed Zamani |
| 2022 | ICTIR | Stochastic Retrieval-Conditioned Reranking. | Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang |
| 2022 | NAACL | DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions. | Neha Nayak Kennard, Tim O'Gorman, Rajarshi Das, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Hamed Zamani, Andrew McCallum |
| 2022 | SIGIR | Conversational Information Seeking: Theory and Application. | Jeffrey Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski, Federico Rossetto, Johanne R. Trippas, Hamed Zamani |
| 2022 | SIGIR | MIMICS-Duo: Offline & Online Evaluation of Search Clarification. | Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer, Mark Sanderson |
| 2022 | SIGIR | Retrieval-Enhanced Machine Learning. | Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky |
| 2022 | SIGIR | Curriculum Learning for Dense Retrieval Distillation. | Hansi Zeng, Hamed Zamani, Vishwa Vinay |
| 2021 | CHIIR | Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. | Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, Fernando Diaz |
| 2021 | CIKM | Analysing Mixed Initiatives and Search Strategies during Conversational Search. | Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswell |
| 2021 | CIKM | Learning Multiple Intent Representations for Search Queries. | Helia Hashemi, Hamed Zamani, W. Bruce Croft |
| 2021 | ICTIR | Session details: Session 2B - Conversational Search. | Hamed Zamani |
| 2021 | WWW | Generalizing Discriminative Retrieval Models using Generative Tasks. | Binsheng Liu, Hamed Zamani, Xiaolu Lu, J. Shane Culpepper |
| 2021 | SIGIR | Towards Multi-Modal Conversational Information Seeking. | Yashar Deldjoo, Johanne R. Trippas, Hamed Zamani |
| 2021 | SIGIR | Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. | Sebastian Hofsttter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury |
| 2021 | SIGIR | Current Challenges and Future Directions in Podcast Information Access. | Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette |
| 2021 | SIGIR | Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. | Bhaskar Mitra, Sebastian Hofsttter, Hamed Zamani, Nick Craswell |
| 2021 | SIGIR | Learning Robust Dense Retrieval Models from Incomplete Relevance Labels. | Prafull Prakash, Julian Killingback, Hamed Zamani |
| 2021 | SIGIR | Passage Retrieval for Outside-Knowledge Visual Question Answering. | Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller |
| 2020 | CIKM | MIMICS: A Large-Scale Data Collection for Search Clarification. | Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, Nick Craswell |
| 2020 | ECIR | ANTIQUE: A Non-factoid Question Answering Benchmark. | Helia Hashemi, Mohammad Aliannejadi, Hamed Zamani, W. Bruce Croft |
| 2020 | WWW | Generating Clarifying Questions for Information Retrieval. | Hamed Zamani, Susan T. Dumais, Nick Craswell, Paul N. Bennett, Gord Lueck |
| 2020 | SIGIR | Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search. | Helia Hashemi, Hamed Zamani, W. Bruce Croft |
| 2020 | SIGIR | Local Self-Attention over Long Text for Efficient Document Retrieval. | Sebastian Hofsttter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury |
| 2020 | SIGIR | Recipe Retrieval with Visual Query of Ingredients. | Yen-Chieh Lien, Hamed Zamani, W. Bruce Croft |
| 2020 | SIGIR | A Reinforcement Learning Framework for Relevance Feedback. | Ali Montazeralghaem, Hamed Zamani, James Allan |
| 2020 | SIGIR | Macaw: An Extensible Conversational Information Seeking Platform. | Hamed Zamani, Nick Craswell |
| 2020 | SIGIR | Analyzing and Learning from User Interactions for Search Clarification. | Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais |
| 2020 | WSDM | Learning a Joint Search and Recommendation Model from User-Item Interactions. | Hamed Zamani, W. Bruce Croft |
| 2019 | ICTIR | Performance Prediction for Non-Factoid Question Answering. | Helia Hashemi, Hamed Zamani, W. Bruce Croft |
| 2019 | RecSys | Recommender Systems Fairness Evaluation via Generalized Cross Entropy. | Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogn Kouki, Tommaso Di Noia |
| 2019 | SIGIR | Asking Clarifying Questions in Open-Domain Information-Seeking Conversations. | Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft |
| 2019 | SIGIR | Analyzing and Predicting News Popularity in an Instant Messaging Service. | Mohammad Naseri, Hamed Zamani |
| 2018 | CIKM | In Situ and Context-Aware Target Apps Selection for Unified Mobile Search. | Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft |
| 2018 | CIKM | From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. | Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik G. Learned-Miller, Jaap Kamps |
| 2018 | ECIR | Towards a Unified Supervised Approach for Ranking Triples of Type-Like Relations. | Mahsa S. Shahshahani, Faegheh Hasibi, Hamed Zamani, Azadeh Shakery |
| 2018 | ICTIR | On the Theory of Weak Supervision for Information Retrieval. | Hamed Zamani, W. Bruce Croft |
| 2018 | RecSys | Recsys challenge 2018: automatic music playlist continuation. | Ching-Wei Chen, Paul Lamere, Markus Schedl, Hamed Zamani |
| 2018 | SIGIR | Target Apps Selection: Towards a Unified Search Framework for Mobile Devices. | Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft |
| 2018 | SIGIR | Citation Worthiness of Sentences in Scientific Reports. | Hamed R. Bonab, Hamed Zamani, Erik G. Learned-Miller, James Allan |
| 2018 | SIGIR | Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks. | Daniel Cohen, John Foley, Hamed Zamani, James Allan, W. Bruce Croft |
| 2018 | SIGIR | Theoretical Analysis of Interdependent Constraints in Pseudo-Relevance Feedback. | Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery |
| 2018 | SIGIR | SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval. | Hamed Zamani, Mostafa Dehghani, Fernando Diaz, Hang Li, Nick Craswell |
| 2018 | SIGIR | Neural Query Performance Prediction using Weak Supervision from Multiple Signals. | Hamed Zamani, W. Bruce Croft, J. Shane Culpepper |
| 2018 | WSDM | Neural Ranking Models with Multiple Document Fields. | Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary |
| 2017 | ECIR | Iterative Estimation of Document Relevance Score for Pseudo-Relevance Feedback. | Mozhdeh Ariannezhad, Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery |
| 2017 | RecSys | A Semantic-Aware Profile Updating Model for Text Recommendation. | Hossein Rahmatizadeh Zagheli, Hamed Zamani, Azadeh Shakery |
| 2017 | WWW | Situational Context for Ranking in Personal Search. | Hamed Zamani, Michael Bendersky, Xuanhui Wang, Mingyang Zhang |
| 2017 | SIGIR | Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic. | Mozhdeh Ariannezhad, Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery |
| 2017 | SIGIR | Neural Ranking Models with Weak Supervision. | Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, W. Bruce Croft |
| 2017 | SIGIR | Term Proximity Constraints for Pseudo-Relevance Feedback. | Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery |
| 2017 | SIGIR | Word Embedding Causes Topic Shifting; Exploit Global Context! | Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Hamed Zamani |
| 2017 | SIGIR | Relevance-based Word Embedding. | Hamed Zamani, W. Bruce Croft |
| 2016 | CIKM | Pseudo-Relevance Feedback Based on Matrix Factorization. | Hamed Zamani, Javid Dadashkarimi, Azadeh Shakery, W. Bruce Croft |
| 2016 | ECIR | Cross Domain User Engagement Evaluation. | Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery |
| 2016 | ICTIR | Estimating Embedding Vectors for Queries. | Hamed Zamani, W. Bruce Croft |
| 2016 | ICTIR | Embedding-based Query Language Models. | Hamed Zamani, W. Bruce Croft |
| 2016 | SIGIR | Axiomatic Analysis for Improving the Log-Logistic Feedback Model. | Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery |
| 2015 | NAACL | Multitask Learning for Adaptive Quality Estimation of Automatically Transcribed Utterances. | Jos G. C. de Souza, Hamed Zamani, Matteo Negri, Marco Turchi, Daniele Falavigna |
| 2015 | SIGIR | Adaptive User Engagement Evaluation via Multi-task Learning. | Hamed Zamani, Pooya Moradi, Azadeh Shakery |