Bhaskar Mitra

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 38

Top Topics

Relevance Judgements

Information Retrieval

Query Reformulation

Top Venues

Publications

Anna Gausen, Bhaskar Mitra, Siân Lindley
A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers. FAccT (2024)
Bhaskar Mitra
Search and Society: Reimagining Information Access for Radical Futures. CoRR (2024)
Maik Fröbe, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, Martin Potthast
ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval. SIGIR (2024)
Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
Synthetic Test Collections for Retrieval Evaluation. SIGIR (2024)
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
Report on the Search Futures Workshop at ECIR 2024. SIGIR Forum 58 (1) (2024)
Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren
The Search Futures Workshop. ECIR (5) (2024)
Haolun Wu, Bhaskar Mitra, Nick Craswell
Towards Group-aware Search Success. ICTIR (2024)
Haolun Wu, Bhaskar Mitra, Nick Craswell
Towards Group-aware Search Success. CoRR (2024)
Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
LLM4Eval: Large Language Model for Evaluation in IR. SIGIR (2024)
Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
Synthetic Test Collections for Retrieval Evaluation. CoRR (2024)
Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra
Large Language Models can Accurately Predict Searcher Preferences. SIGIR (2024)
Karina Cortiñas-Lorenzo, Siân Lindley, Ida Larsen-Ledet, Bhaskar Mitra
Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems. CoRR (2024)
Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
Structured Entity Extraction Using Large Language Models. CoRR (2024)
Bhaskar Mitra, Henriette Cramer, Olya Gurevich
Sociotechnical Implications of Generative Artificial Intelligence for Information Access. CoRR (2024)
Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. ACM Trans. Inf. Syst. 41 (2) (2023)
Fernando Diaz, Bhaskar Mitra
Recall as a Measure of Ranking Robustness. CoRR (2023)
Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra
Large language models can accurately predict searcher preferences. CoRR (2023)
Chirag Shah, Ryen White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin
Taking Search to Task. CHIIR (2023)
Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri
De-biasing Relevance Judgements for Fair Ranking. ECIR (2) (2023)
Ouail Kitouni, Niklas Nolte, James Hensman, Bhaskar Mitra
KBFormer: A Diffusion Model for Structured Entity Completion. CoRR (2023)
Chirag Shah, Ryen W. White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin
Taking Search to Task. CoRR (2023)
Anna Gausen, Bhaskar Mitra, Siân Lindley
A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers. CoRR (2023)
Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand
Patterns of Gender-Specializing Query Reformulation. SIGIR (2023)
Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand
Patterns of gender-specializing query reformulation. CoRR (2023)
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
Co-audit: tools to help humans double-check AI-generated content. CoRR (2023)
Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu
Joint Multisided Exposure Fairness for Recommendation. SIGIR (2022)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff
Overview of the TREC 2022 Deep Learning Track. TREC (2022)
Ida Larsen-Ledet, Bhaskar Mitra, Siân Lindley
Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems. CoRR (2022)
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. SIGIR (2022)
Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu
Joint Multisided Exposure Fairness for Recommendation. CoRR (2022)
Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri
Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases. EDBT (2022)
Nicola Neophytou, Bhaskar Mitra, Catherine Stinson
Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness. ECIR (1) (2022)
Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega
Exposing Query Identification for Search Transparency. WWW (2022)
Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell, Linjun Yang
Less is Less: When are Snippets Insufficient for Human vs Machine Relevance Estimation? ECIR (2) (2022)
Sebastian Hofstätter, Nick Craswell, Bhaskar Mitra, Hamed Zamani, Allan Hanbury
Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems. CoRR (2022)
Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff
Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. SIGIR (2022)
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
Overview of the TREC 2021 Deep Learning Track. TREC (2021)
Chirag Shah, Torsten Suel, Fernando Diaz, Bhaskar Mitra, Bárbara Poblete, Hussein Suleman, Suzan Verberne
Report on the 44th international ACM SIGIR conference on research and development in information retrieval (SIGIR 2021). SIGIR Forum 55 (2) (2021)