Bhaskar Mitra - RankMe

158 papers A* 32A 11B 3Misc 2Journal 88Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation. CHI Anja Thieme, Rita Faia Marques, Martin Grayson, Sidhika Balachandar, Cameron Tyler Cassidy, Madiha Zahrah Choksi, Camilla Longden, Reeda Shimaz Huda, Nicholas Ileve Kalovwe, Christina Mallon, Courtney Mansperger, Daniela Massiceti, Bhaskar Mitra, Ruth Mueni Nzioka, Ioana Tanase, Yuzhe You, Cecily Morrison
2026	J	`jnl`	From Noise to Order: Learning to Rank via Denoising Diffusion. CoRR Sajad Ebrahimi, Bhaskar Mitra, Negar Arabzadeh, Ye Yuan, Haolun Wu, Fattane Zarrinkalam, Ebrahim Bagheri
2026	J	`jnl`	Information Access of the Oppressed: A Problem-Posing Framework for Envisioning Emancipatory Information Access Platforms. CoRR Bhaskar Mitra, Nicola Neophytou, Sireesh Gururaja
2026	J	`jnl`	Open, to What End? A Capability-Theoretic Perspective on Open Search. CoRR Nicola Neophytou, Bhaskar Mitra
2026	J	`jnl`	Overview of the TREC 2025 Tip-of-the-Tongue track. CoRR Jaime Arguello, Fernando Diaz, Maik Fröbe, To Eun Kim, Bhaskar Mitra
2026	J	`jnl`	Recall, Robustness, and Lexicographic Evaluation. Trans. Recomm. Syst. Fernando Diaz, Michael D. Ekstrand, Bhaskar Mitra
2025	J	`jnl`	ACM SIGIR Annual Business Meeting 2025: Secretary's Notes. SIGIR Forum Bhaskar Mitra
2025	J	`jnl`	Emancipatory Information Retrieval. CoRR Bhaskar Mitra
2025	J	`jnl`	Emancipatory Information Retrieval. Inf. Retr. Res. J. Bhaskar Mitra
2025	—	`conf`	JudgeBlender: Ensembling Automatic Relevance Judgments. WWW (Companion Volume) Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra
2025	J	`jnl`	Judging the Judges: A Collection of LLM-Generated Relevance Judgements. CoRR Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2025	A*	`conf`	LLM4Eval: Large Language Model for Evaluation in IR. SIGIR Clemencia Siro, Hossein A. Rahmani, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2025	A	`conf`	LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval. WSDM Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2025	J	`jnl`	Overview of the TREC 2021 deep learning track. CoRR Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
2025	J	`jnl`	Overview of the TREC 2022 deep learning track. CoRR Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff
2025	J	`jnl`	Overview of the TREC 2023 deep learning track. CoRR Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Hossein A. Rahmani, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff
2025	J	`jnl`	Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). SIGIR Forum Johanne R. Trippas, J. Shane Culpepper, Mohammad Aliannejadi, James Allan, Enrique Amigó, Jaime Arguello, Leif Azzopardi, Peter Bailey, Jamie Callan, Rob Capra, Nick Craswell, W. Bruce Croft, Jeff Dalton, Gianluca Demartini, Laura Dietz, Zhicheng Dou, Carsten Eickhoff, Michael D. Ekstrand, Nicola Ferro, Norbert Fuhr, Dorota Glowacka, Faegheh Hasibi, Danula Hettiachchi, Rosie Jones, Jaap Kamps, Noriko Kando, Sarvnaz Karimi, Makoto P. Kato, Bevan Koopman, Yiqun Liu, Chenglong Ma, Joel Mackenzie, Maria Maistro, Jiaxin Mao, Dana McKay, Bhaskar Mitra, Stefano Mizzaro, Alistair Moffat, Josiane Mothe, Iadh Ounis, Lida Rashidi, Yongli Ren, Mark Sanderson, Rodrygo L. T. Santos, Falk Scholer, Chirag Shah, Laurianne Sitbon, Ian Soboroff, Damiano Spina, Paul Thomas, Julián Urbano, Arjen P. de Vries, Ryen White, Abby Yuan, Hamed Zamani, Oleg Zendel, Min Zhang, Shengyao Zhuang, Justin Zobel, Guido Zuccon
2025	J	`jnl`	Search and Society: Reimagining Information Access for Radical Futures. Inf. Retr. Res. J. Bhaskar Mitra
2025	—	`conf`	SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval. WWW (Companion Volume) Hossein A. Rahmani, Xi Wang, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas
2025	A*	`conf`	Tip of the Tongue Query Elicitation for Simulated Evaluation. SIGIR Yifan He, To Eun Kim, Fernando Diaz, Jaime Arguello, Bhaskar Mitra
2025	J	`jnl`	Tip of the Tongue Query Elicitation for Simulated Evaluation. CoRR Yifan He, To Eun Kim, Fernando Diaz, Jaime Arguello, Bhaskar Mitra
2025	A	`conf`	Towards Understanding Bias in Synthetic Data for Evaluation. CIKM Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz, Nick Craswell, Bhaskar Mitra
2025	J	`jnl`	Towards Understanding Bias in Synthetic Data for Evaluation. CoRR Hossein A. Rahmani, Varsha Ramineni, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
2024	—	`conf`	A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers. FAccT Anna Gausen, Bhaskar Mitra, Siân Lindley
2024	J	`jnl`	JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment. CoRR Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra
2024	A*	`conf`	LLM4Eval: Large Language Model for Evaluation in IR. SIGIR Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2024	—	`conf`	LLMJudge: LLMs for Relevance Judgments. LLM4Eval@SIGIR Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas, Charles L. A. Clarke, Mohammad Aliannejadi, Clemencia Siro, Guglielmo Faggioli
2024	J	`jnl`	LLMJudge: LLMs for Relevance Judgments. CoRR Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas, Charles L. A. Clarke, Mohammad Aliannejadi, Clemencia Siro, Guglielmo Faggioli
2024	A*	`conf`	Large Language Models can Accurately Predict Searcher Preferences. SIGIR Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra
2024	A*	`conf`	Learning to Extract Structured Entities Using Language Models. EMNLP Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
2024	—	`conf`	Overview of the TREC 2024 Tip-of-the-Tongue track. TREC Jaime Arguello, Samarth Bhargav, Fernando Diaz, To Eun Kim, Yifan He, Evangelos Kanoulas, Bhaskar Mitra
2024	—	`ed.`	Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024) co-located with 10th International Conference on Online Publishing (SIGIR 2024), Washington D.C., USA, July 18, 2024. LLM4Eval@SIGIR Clemencia Siro, Mohammad Aliannejadi, Hossein A. Rahmani, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2024	A*	`conf`	ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval. SIGIR Maik Fröbe, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, Martin Potthast
2024	J	`jnl`	Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024. CoRR Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2024	J	`jnl`	Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024. SIGIR Forum Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2024	J	`jnl`	Report on the Search Futures Workshop at ECIR 2024. SIGIR Forum Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren, Mohammad Aliannejadi, Negar Arabzadeh, Raman Chandrasekar, Maarten de Rijke, Panagiotis Eustratiadis, William R. Hersh, Jin Huang, Evangelos Kanoulas, Jasmin Kareem, Yongkang Li, Simon Lupart, Kidist Amde Mekonnen, Adam Roegiest, Ian Soboroff, Fabrizio Silvestri, Suzan Verberne, David Vos, Eugene Yang, Yuyue Zhao
2024	J	`jnl`	Result Diversification in Search and Recommendation: A Survey. IEEE Trans. Knowl. Data Eng. Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, Bhaskar Mitra, Xue Liu
2024	J	`jnl`	Search and Society: Reimagining Information Access for Radical Futures. CoRR Bhaskar Mitra
2024	J	`jnl`	Sociotechnical Implications of Generative Artificial Intelligence for Information Access. CoRR Bhaskar Mitra, Henriette Cramer, Olya Gurevich
2024	J	`jnl`	Structured Entity Extraction Using Large Language Models. CoRR Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
2024	J	`jnl`	SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval. CoRR Hossein A. Rahmani, Xi Wang, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas
2024	A*	`conf`	Synthetic Test Collections for Retrieval Evaluation. SIGIR Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
2024	J	`jnl`	Synthetic Test Collections for Retrieval Evaluation. CoRR Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
2024	—	`conf`	The Search Futures Workshop. ECIR (5) Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren
2024	J	`jnl`	Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems. CoRR Karina Cortiñas-Lorenzo, Siân Lindley, Ida Larsen-Ledet, Bhaskar Mitra
2024	Misc	`conf`	Towards Group-aware Search Success. ICTIR Haolun Wu, Bhaskar Mitra, Nick Craswell
2024	J	`jnl`	Towards Group-aware Search Success. CoRR Haolun Wu, Bhaskar Mitra, Nick Craswell
2023	J	`jnl`	A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers. CoRR Anna Gausen, Bhaskar Mitra, Siân Lindley
2023	J	`jnl`	A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. ACM Trans. Inf. Syst. Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu
2023	J	`jnl`	Co-audit: tools to help humans double-check AI-generated content. CoRR Andrew D. Gordon, Carina Negreanu, José Cambronero, Rasika Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson, Advait Sarkar, Stephanie Simmons, Jack Williams, Ben Zorn
2023	—	`conf`	De-biasing Relevance Judgements for Fair Ranking. ECIR (2) Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri
2023	J	`jnl`	KBFormer: A Diffusion Model for Structured Entity Completion. CoRR Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra
2023	J	`jnl`	Large language models can accurately predict searcher preferences. CoRR Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra
2023	—	`conf`	Overview of the TREC 2023 Deep Learning Track. TREC Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Hossein A. Rahmani, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff
2023	—	`conf`	Overview of the TREC 2023 Tip-of-the-Tongue Track. TREC Jaime Arguello, Samarth Bhargav, Fernando Diaz, Evangelos Kanoulas, Bhaskar Mitra
2023	A*	`conf`	Patterns of Gender-Specializing Query Reformulation. SIGIR Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand
2023	J	`jnl`	Patterns of gender-specializing query reformulation. CoRR Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand
2023	—	`ed.`	Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2023, Panjim, India, December 15-18, 2023 FIRE Debasis Ganguly, Srijoni Majumdar, Bhaskar Mitra, Parth Gupta, Surupendu Gangopadhyay, Prasenjit Majumder
2023	J	`jnl`	Recall as a Measure of Ranking Robustness. CoRR Fernando Diaz, Bhaskar Mitra
2023	B	`conf`	Taking Search to Task. CHIIR Chirag Shah, Ryen White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin
2023	J	`jnl`	Taking Search to Task. CoRR Chirag Shah, Ryen W. White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin
2022	J	`jnl`	Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems. CoRR Sebastian Hofstätter, Nick Craswell, Bhaskar Mitra, Hamed Zamani, Allan Hanbury
2022	B	`conf`	Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases. EDBT Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri
2022	J	`jnl`	Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems. CoRR Ida Larsen-Ledet, Bhaskar Mitra, Siân Lindley
2022	A*	`conf`	Exposing Query Identification for Search Transparency. WWW Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega
2022	A*	`conf`	Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. SIGIR Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
2022	A*	`conf`	Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. SIGIR Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff
2022	A*	`conf`	Joint Multisided Exposure Fairness for Recommendation. SIGIR Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu
2022	J	`jnl`	Joint Multisided Exposure Fairness for Recommendation. CoRR Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu
2022	J	`jnl`	Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation? CoRR Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell, Linjun Yang
2022	—	`conf`	Less is Less: When are Snippets Insufficient for Human vs Machine Relevance Estimation? ECIR (2) Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell, Linjun Yang
2022	—	`conf`	Overview of the TREC 2022 Deep Learning Track. TREC Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff
2022	—	`conf`	Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness. ECIR (1) Nicola Neophytou, Bhaskar Mitra, Catherine Stinson
2021	J	`jnl`	Exposing Query Identification for Search Transparency. CoRR Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega
2021	A*	`conf`	Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. SIGIR Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
2021	J	`jnl`	Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. CoRR Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
2021	A*	`conf`	Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. SIGIR Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
2021	J	`jnl`	Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. CoRR Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
2021	A	`conf`	MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries. CIKM Negar Arabzadeh, Bhaskar Mitra, Ebrahim Bagheri
2021	A*	`conf`	MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. SIGIR Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
2021	J	`jnl`	MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. CoRR Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
2021	J	`jnl`	Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation. CoRR Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu
2021	—	`—`	Neural methods for effective, efficient, and exposure-aware information retrieval Bhaskar Mitra
2021	J	`jnl`	Neural methods for effective, efficient, and exposure-aware information retrieval. SIGIR Forum Bhaskar Mitra
2021	A*	`conf`	Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. SIGIR Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff
2021	J	`jnl`	Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. CoRR Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff
2021	J	`jnl`	Overview of the TREC 2020 deep learning track. CoRR Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos
2021	—	`conf`	Overview of the TREC 2021 Deep Learning Track. TREC Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
2021	J	`jnl`	Report on the 44th international ACM SIGIR conference on research and development in information retrieval (SIGIR 2021). SIGIR Forum Chirag Shah, Torsten Suel, Fernando Diaz, Bhaskar Mitra, Bárbara Poblete, Hussein Suleman, Suzan Verberne
2021	J	`jnl`	Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness. CoRR Nicola Neophytou, Bhaskar Mitra, Catherine Stinson
2021	A*	`conf`	Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. SIGIR Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
2021	J	`jnl`	Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. CoRR Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
2021	A*	`conf`	TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. SIGIR Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff
2021	J	`jnl`	TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. CoRR Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff
2021	B	`conf`	Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. CHIIR Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, Fernando Diaz
2021	J	`jnl`	Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. CoRR Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, Fernando Diaz
2020	A*	`conf`	Analyzing and Learning from User Interactions for Search Clarification. SIGIR Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais
2020	J	`jnl`	Analyzing and Learning from User Interactions for Search Clarification. CoRR Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais
2020	—	`conf`	Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. TREC Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
2020	J	`jnl`	Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. CoRR Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
2020	J	`jnl`	Conformer-Kernel with Query Term Independence for Document Retrieval. CoRR Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
2020	A	`conf`	Evaluating Stochastic Rankings with Expected Exposure. CIKM Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette
2020	J	`jnl`	Evaluating Stochastic Rankings with Expected Exposure. CoRR Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette
2020	A*	`conf`	Local Self-Attention over Long Text for Efficient Document Retrieval. SIGIR Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury
2020	J	`jnl`	Local Self-Attention over Long Text for Efficient Document Retrieval. CoRR Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury
2020	J	`jnl`	Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval. CoRR Bhaskar Mitra
2020	J	`jnl`	ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search. CoRR Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck
2020	A	`conf`	ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search. CIKM Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck
2020	A*	`conf`	On the Reliability of Test Collections for Evaluating Systems of Different Types. SIGIR Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos
2020	J	`jnl`	On the Reliability of Test Collections for Evaluating Systems of Different Types. CoRR Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos
2020	J	`jnl`	Overview of the TREC 2019 deep learning track. CoRR Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees
2020	—	`conf`	Overview of the TREC 2020 Deep Learning Track. TREC Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos
2020	J	`jnl`	Semantic Product Search for Matching Structured Product Catalogs in E-Commerce. CoRR Jason Ingyu Choi, Surya Kallumadi, Bhaskar Mitra, Eugene Agichtein, Faizan Javed
2019	A*	`conf`	An Axiomatic Approach to Regularizing Neural Ranking Models. SIGIR Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary
2019	J	`jnl`	An Axiomatic Approach to Regularizing Neural Ranking Models. CoRR Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary
2019	J	`jnl`	An Updated Duet Model for Passage Re-ranking. CoRR Bhaskar Mitra, Nick Craswell
2019	—	`conf`	DUET AT TREC 2019 DEEP LEARNING TRACK. TREC Bhaskar Mitra, Nick Craswell
2019	J	`jnl`	Duet at TREC 2019 Deep Learning Track. CoRR Bhaskar Mitra, Nick Craswell
2019	J	`jnl`	Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks. CoRR Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz
2019	J	`jnl`	Report on the First HIPstIR Workshop on the Future of Information Retrieval. CoRR Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni
2019	J	`jnl`	Report on the First HIPstIR Workshop on the Future of Information Retrieval. SIGIR Forum Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni
2018	J	`jnl`	A Line in the Sand: Recommendation or Ad-hoc Retrieval? CoRR Surya Kallumadi, Bhaskar Mitra, Tereza Iofciu
2018	—	`conf`	A Line in the Sand: Recommendation or Ad-hoc Retrieval? Overview of RecSys Challenge 2018 Submission by Team BachPropagate. RecSys Challenge Surya Kallumadi, Bhaskar Mitra, Tereza Iofciu
2018	J	`jnl`	An Introduction to Neural Information Retrieval. Found. Trends Inf. Retr. Bhaskar Mitra, Nick Craswell
2018	J	`jnl`	Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning. CoRR Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft
2018	A*	`conf`	Cross Domain Regularization for Neural Ranking Models using Adversarial Learning. SIGIR Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft
2018	A	`conf`	Neural Networks for Information Retrieval. WSDM Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra
2018	J	`jnl`	Neural Networks for Information Retrieval. CoRR Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra
2018	A	`conf`	Neural Ranking Models with Multiple Document Fields. WSDM Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary
2018	J	`jnl`	Neural information retrieval: introduction to the special issue. Inf. Retr. J. Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra
2018	A*	`conf`	Optimizing Query Evaluations Using Reinforcement Learning for Web Search. SIGIR Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary
2018	J	`jnl`	Optimizing Query Evaluations using Reinforcement Learning for Web Search. CoRR Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary
2017	Misc	`conf`	Benchmark for Complex Answer Retrieval. ICTIR Federico Nanni, Bhaskar Mitra, Matt Magnusson, Laura Dietz
2017	J	`jnl`	Benchmark for Complex Answer Retrieval. CoRR Federico Nanni, Bhaskar Mitra, Matt Magnusson, Laura Dietz
2017	A*	`conf`	Learning to Match using Local and Distributed Representations of Text for Web Search. WWW Bhaskar Mitra, Fernando Diaz, Nick Craswell
2017	A*	`conf`	Luandri: A Clean Lua Interface to the Indri Search Engine. SIGIR Bhaskar Mitra, Fernando Diaz, Nick Craswell
2017	J	`jnl`	Luandri: a Clean Lua Interface to the Indri Search Engine. CoRR Bhaskar Mitra, Fernando Diaz, Nick Craswell
2017	J	`jnl`	Neural Models for Information Retrieval. CoRR Bhaskar Mitra, Nick Craswell
2017	A*	`conf`	Neural Networks for Information Retrieval. SIGIR Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra
2017	J	`jnl`	Neural Networks for Information Retrieval. CoRR Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra
2017	J	`jnl`	Neural Ranking Models with Multiple Document Fields. CoRR Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary
2017	A	`conf`	Neural Text Embeddings for Information Retrieval. WSDM Bhaskar Mitra, Nick Craswell
2017	A	`conf`	Reply With: Proactive Recommendation of Email Attachments. CIKM Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda
2017	J	`jnl`	Reply With: Proactive Recommendation of Email Attachments. CoRR Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda
2017	J	`jnl`	Report on the Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17). SIGIR Forum Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra
2017	A*	`conf`	SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17). SIGIR Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra
2017	J	`jnl`	Toward Incorporation of Relevant Documents in word2vec. CoRR Navid Rekabsaz, Bhaskar Mitra, Mihai Lupu, Allan Hanbury
2016	J	`jnl`	A Dual Embedding Space Model for Document Ranking. CoRR Bhaskar Mitra, Eric T. Nalisnick, Nick Craswell, Rich Caruana
2016	—	`conf`	Improving Document Ranking with Dual Word Embeddings. WWW (Companion Volume) Eric T. Nalisnick, Bhaskar Mitra, Nick Craswell, Rich Caruana
2016	J	`jnl`	Learning to Match Using Local and Distributed Representations of Text for Web Search. CoRR Bhaskar Mitra, Fernando Diaz, Nick Craswell
2016	A*	`conf`	Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval. SIGIR Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke
2016	—	`conf`	Query Expansion with Locally-Trained Word Embeddings. ACL (1) Fernando Diaz, Bhaskar Mitra, Nick Craswell
2016	J	`jnl`	Query Expansion with Locally-Trained Word Embeddings. CoRR Fernando Diaz, Bhaskar Mitra, Nick Craswell
2016	J	`jnl`	Report on the SIGIR 2016 Workshop on Neural Information Retrieval (Neu-IR). SIGIR Forum Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke
2015	A*	`conf`	Exploring Session Context using Distributed Representations of Queries and Reformulations. SIGIR Bhaskar Mitra
2015	A	`conf`	Query Auto-Completion for Rare Prefixes. CIKM Bhaskar Mitra, Nick Craswell
2014	A	`conf`	An Eye-tracking Study of User Interactions with Query Auto Completion. CIKM Katja Hofmann, Bhaskar Mitra, Filip Radlinski, Milad Shokouhi
2014	A*	`conf`	On user interactions with query auto-completion. SIGIR Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, Katja Hofmann