Bhaskar Mitra
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
64
Venues
14
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
64 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHI | Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation. | 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 | ICTIR | From Noise to Order: Learning to Rank via Denoising Diffusion. | Sajad Ebrahimi, Bhaskar Mitra, Negar Arabzadeh, Ye Yuan, Haolun Wu, Fattane Zarrinkalam, Ebrahim Bagheri |
| 2026 | SIGIR | Multilingual and Domain-Agnostic Tip-of-the-Tongue Query Generation for Simulated Evaluation. | Xuhong He, To Eun Kim, Maik Frbe, Jaime Arguello, Bhaskar Mitra, Fernando Diaz |
| 2026 | SIGIR | Emancipatory Information Retrieval: Towards Critical IR Theories and Practices. | Bhaskar Mitra |
| 2026 | SIGIR | Justice, Emancipation, Democracy, and Information Access (JEDI): The SIGIR Workshop on Resisting Corporate and Authoritarian Capture of Information Access Platforms. | Bhaskar Mitra, Dana McKay, Michael D. Ekstrand, Sanne Vrijenhoek, Maria Murray |
| 2026 | SIGIR | VulGen: Workshop on Vulnerabilities in Generative Systems for Information Retrieval. | Shuoqi Sun, Sara Allawati, Laura Dietz, Madhurima Khirbat, Bhaskar Mitra, Maarten de Rijke, Damiano Spina |
| 2025 | CIKM | Towards Understanding Bias in Synthetic Data for Evaluation. | Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz, Nick Craswell, Bhaskar Mitra |
| 2025 | WWW | SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval. | Hossein A. Rahmani, Xi Wang, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas |
| 2025 | WWW | JudgeBlender: Ensembling Automatic Relevance Judgments. | Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra |
| 2025 | SIGIR | Tip of the Tongue Query Elicitation for Simulated Evaluation. | Yifan He, To Eun Kim, Fernando Diaz, Jaime Arguello, Bhaskar Mitra |
| 2025 | SIGIR | LLM4Eval: Large Language Model for Evaluation in IR. | Clemencia Siro, Hossein A. Rahmani, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz |
| 2025 | WSDM | LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval. | Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz |
| 2024 | ECIR | The Search Futures Workshop. | Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren |
| 2024 | EMNLP | Learning to Extract Structured Entities Using Language Models. | Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra |
| 2024 | ICTIR | Towards Group-aware Search Success. | Haolun Wu, Bhaskar Mitra, Nick Craswell |
| 2024 | IECON | Data-driven Modeling for Grid Edge IBRs: A Digital Twin Perspective of User-Defined Models. | Kaveri Mahapatra, Bhaskar Mitra, Soumya Kundu |
| 2024 | SIGIR | Large Language Models can Accurately Predict Searcher Preferences. | Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra |
| 2024 | SIGIR | ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval. | Maik Frbe, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, Martin Potthast |
| 2024 | SIGIR | Synthetic Test Collections for Retrieval Evaluation. | Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos |
| 2024 | SIGIR | LLM4Eval: Large Language Model for Evaluation in IR. | Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz |
| 2023 | CHIIR | Taking Search to Task. | Chirag Shah, Ryen White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin |
| 2023 | ECIR | De-biasing Relevance Judgements for Fair Ranking. | Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri |
| 2023 | SIGIR | Patterns of Gender-Specializing Query Reformulation. | Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand |
| 2022 | ECIR | Less is Less: When are Snippets Insufficient for Human vs Machine Relevance Estimation? | Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell, Linjun Yang |
| 2022 | ECIR | Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness. | Nicola Neophytou, Bhaskar Mitra, Catherine Stinson |
| 2022 | EDBT | Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases. | Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri |
| 2022 | ICMLA | ML Democracy: An Enhanced Voting Algorithm for Model Selection for Efficient EEG Data Assessment. | Timothy Flavin, Thomas Steiner, John Reaves, Julian Abhari, Zoe Delap, Bhaskar Mitra, Vidhyashree Nagaraju |
| 2022 | WWW | Exposing Query Identification for Search Transparency. | Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega |
| 2022 | SIGIR | Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. | Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff |
| 2022 | SIGIR | Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. | Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz |
| 2022 | SIGIR | Joint Multisided Exposure Fairness for Recommendation. | Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu |
| 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 | MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries. | Negar Arabzadeh, Bhaskar Mitra, Ebrahim Bagheri |
| 2021 | SIGIR | Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. | Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff |
| 2021 | SIGIR | MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. | Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin |
| 2021 | SIGIR | TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. | Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff |
| 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 | Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. | Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz |
| 2021 | SIGIR | Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. | Bhaskar Mitra, Sebastian Hofsttter, Hamed Zamani, Nick Craswell |
| 2020 | CIKM | Evaluating Stochastic Rankings with Expected Exposure. | Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette |
| 2020 | CIKM | ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search. | Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck |
| 2020 | SIGIR | Local Self-Attention over Long Text for Efficient Document Retrieval. | Sebastian Hofsttter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury |
| 2020 | SIGIR | On the Reliability of Test Collections for Evaluating Systems of Different Types. | Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos |
| 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 |
| 2019 | SIGIR | An Axiomatic Approach to Regularizing Neural Ranking Models. | Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary |
| 2018 | RecSys | A Line in the Sand: Recommendation or Ad-hoc Retrieval? Overview of RecSys Challenge 2018 Submission by Team BachPropagate. | Surya Kallumadi, Bhaskar Mitra, Tereza Iofciu |
| 2018 | SIGIR | Cross Domain Regularization for Neural Ranking Models using Adversarial Learning. | Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft |
| 2018 | SIGIR | Optimizing Query Evaluations Using Reinforcement Learning for Web Search. | Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary |
| 2018 | WSDM | Neural Networks for Information Retrieval. | Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra |
| 2018 | WSDM | Neural Ranking Models with Multiple Document Fields. | Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary |
| 2017 | CIKM | Reply With: Proactive Recommendation of Email Attachments. | Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda |
| 2017 | ICTIR | Benchmark for Complex Answer Retrieval. | Federico Nanni, Bhaskar Mitra, Matt Magnusson, Laura Dietz |
| 2017 | WWW | Learning to Match using Local and Distributed Representations of Text for Web Search. | Bhaskar Mitra, Fernando Diaz, Nick Craswell |
| 2017 | SIGIR | SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17). | Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra |
| 2017 | SIGIR | Neural Networks for Information Retrieval. | Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra |
| 2017 | SIGIR | Luandri: A Clean Lua Interface to the Indri Search Engine. | Bhaskar Mitra, Fernando Diaz, Nick Craswell |
| 2017 | WSDM | Neural Text Embeddings for Information Retrieval. | Bhaskar Mitra, Nick Craswell |
| 2016 | ACL | Query Expansion with Locally-Trained Word Embeddings. | Fernando Diaz, Bhaskar Mitra, Nick Craswell |
| 2016 | WWW | Improving Document Ranking with Dual Word Embeddings. | Eric T. Nalisnick, Bhaskar Mitra, Nick Craswell, Rich Caruana |
| 2016 | SIGIR | Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval. | Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke |
| 2015 | CIKM | Query Auto-Completion for Rare Prefixes. | Bhaskar Mitra, Nick Craswell |
| 2015 | SIGIR | Exploring Session Context using Distributed Representations of Queries and Reformulations. | Bhaskar Mitra |
| 2014 | CIKM | An Eye-tracking Study of User Interactions with Query Auto Completion. | Katja Hofmann, Bhaskar Mitra, Filip Radlinski, Milad Shokouhi |
| 2014 | SIGIR | On user interactions with query auto-completion. | Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, Katja Hofmann |