Publications

You can also find my articles on my Google Scholar profile.

~2025~

Towards Understanding Bias in Synthetic Data for Evaluation

Hossein A. Rahmani, Varsha Ramineni, Nick Craswell, Bhaskar Mitra, and Emine Yilmaz
Preprint, 2025
ArXiv

Judging the Judges: A Collection of LLM-Generated Relevance Judgements

Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, and Emine Yilmaz
Preprint, 2025
ArXiv

Emancipatory Information Retrieval

Bhaskar Mitra
Preprint, 2025
ArXiv

Report from the Fourth Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025)

Johanne R. Trippas, J. Shane Culpepper, Mohammad Aliannejadi, James Allan, Enrique Amigó, Jaime Arguello, Leif Azzopardi, Peter Bailey, Jamie Callan, Rob Capra, Nick Craswell, Bruce Croft, Jeff Dalton, Gianluca Demartini, Laura Dietz, Zhicheng Dou, Carsten Eickhoff, Michael 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 Santos, Falk Scholer, Chirag Shah, Laurianne Sitbon, Ian Soboroff, Damiano Spina, Paul Thomas, Juli´an Urbano, Arjen de Vries, Ryen White, Abby Yuan, Hamed Zamani, Oleg Zendel, Min Zhang, Justin Zobel, Shengyao Zhuang, and Guido Zuccon
In ACM SIGIR Forum (to appear), 2025
PDF

Tip of the Tongue Query Elicitation for Simulated Evaluation

Yifan He, To Eun Kim, Fernando Diaz, Jaime Arguello, and Bhaskar Mitra
In proc. ACM SIGIR (to appear), 2025
PDF | ArXiv

JudgeBlender: Ensembling Automatic Relevance Judgments

Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, and Bhaskar Mitra
In proc. ACM TheWebConf, 2025
Publication | PDF | ArXiv

SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval

Hossein A. Rahmani, Xi Wang, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, and Paul Thomas
In proc. ACM TheWebConf, 2025
Publication | PDF | ArXiv

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, and Emine Yilmaz
In proc. ACM WSDM, 2025
Publication | PDF

Recall, Robustness, and Lexicographic Evaluation

Fernando Diaz, Michael D. Ekstrand, and Bhaskar Mitra
In ACM Transactions on Recommender Systems (TORS), 2025
Publication | PDF | ArXiv

Search and Society: Reimagining Information Access for Radical Futures

Bhaskar Mitra
In Information Retrieval Research Journal (IRRJ), 2025
Publication | PDF | ArXiv

Sociotechnical Implications of Generative Artificial Intelligence for Information Access

Bhaskar Mitra, Henriette Cramer, and Olya Gurevich
In book "Information Access in the Era of Generative AI" (editors: Chirag Shah and Ryen White), Springer Nature, 2025
Publication | PDF | ArXiv

Overview of the TREC 2024 Tip-of-the-Tongue Track

Jaime Arguello, Samarth Bhargav, Fernando Diaz, To Eun Kim, Yifan He, Evangelos Kanoulas, and Bhaskar Mitra
In proc. Text REtrieval Conference (TREC), 2025
Publication | PDF

~2024~

Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems

Karina Cortiñas-Lorenzo, Siân Lindley, Ida Larsen-Ledet, and Bhaskar Mitra
Preprint, 2024
ArXiv

Result Diversification in Search and Recommendation: A Survey

Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, and Bhaskar Mitra
In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Publication | PDF | ArXiv

LLMJudge: LLMs for Relevance Judgments

Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas, Charles L. A. Clarke, Mohammad Aliannejadi, Clemencia Siro, and Guglielmo Faggioli
In proc. LM4Eval: The First Workshop on Large Language Models for Evaluation in Information Retrieval, ACM SIGIR, 2024
Publication | PDF | ArXiv

Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024)

Clemencia Siro, Mohammad Aliannejadi, Hossein A. Rahmani, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, and Emine Yilmaz
Proceedings

Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024

Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, and Emine Yilmaz
In ACM SIGIR Forum, 2024
Publication | PDF | ArXiv

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, and Emine Yilmaz
In proc. ACM SIGIR, 2024
Publication | PDF

ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval

Maik Fröbe, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, and Martin Potthast
In proc. ACM SIGIR, 2024
Publication | PDF

Synthetic Test Collections for Retrieval Evaluation

Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, and Daniel Campos
In proc. ACM SIGIR, 2024
Publication | PDF | ArXiv

Large Language Models can Accurately Predict Searcher Preferences

Paul Thomas, Seth Spielman, Nick Craswell, and Bhaskar Mitra
In proc. ACM SIGIR, 2024
Publication | PDF | ArXiv

Towards Group-aware Search Success

Haolun Wu, Bhaskar Mitra, and Nick Craswell
In proc. ACM ICTIR, 2024
Publication | PDF | ArXiv

Learning to Extract Structured Entities Using Language Models

Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, and Bhaskar Mitra
In proc. EMNLP, 2024
Publication | PDF | ArXiv

A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers

Anna Gausen, Bhaskar Mitra, and Siân Lindley
In proc. ACM FAccT, 2024
Publication | PDF | ArXiv

Report on The Search Futures Workshop at ECIR 2024

Leif Azzopardi, Charles L. A. Clarke, Paul Kantor, Bhaskar Mitra, Johanne R. Trippas, and Zhaochun Ren
In ACM SIGIR Forum, 2024
Publication | PDF

The Search Futures Workshop

Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, and Zhaochun Ren
In proc. ECIR, 2024
Publication | PDF

Overview of the TREC 2023 Tip-of-the-Tongue Track

Jaime Arguello, Samarth Bhargav, Fernando Diaz, Evangelos Kanoulas, and Bhaskar Mitra
In proc. Text REtrieval Conference (TREC), 2024
Publication | PDF

Overview of the TREC 2023 Deep Learning Track

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Hossein A. Rahmani, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, and Ian Soboroff
In proc. Text REtrieval Conference (TREC), 2024
Publication | PDF

~2023~

DiSK: A Diffusion Model for Structured Knowledge

Ouail Kitouni, Niklas Nolte, James Hensman, and Bhaskar Mitra
Preprint, 2023
ArXiv

Co-audit: tools to help humans double-check AI-generated content

Andrew D. Gordon, Carina Negreanu, José Cambronero, Rasika Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson, Advait Sarkar, Stephanie Simmons, Jack Williams, and Ben Zorn
In proc. Workshop on the intersection of HCI and PL (PLATEAU), 2023
Publication | PDF | ArXiv

Patterns of gender-specializing query reformulation

Amifa Raj, Bhaskar Mitra, Nick Craswell, and Michael Ekstrand
In proc. ACM SIGIR, 2023
Publication | PDF | ArXiv

De-Biasing Relevance Judgements for Fair Ranking

Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Bhaskar Mitra, Morteza Zihayat, and Ebrahim Bagheri
In proc. ECIR, 2023
Publication | PDF

Taking Search to Task

Chirag Shah, Ryen White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, and Nicholas Belkin
In proc. ACM CHIIR, 2023
Publication | PDF | ArXiv

Overview of the TREC 2022 Deep Learning Track

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, and Ian Soboroff
In proc. Text REtrieval Conference (TREC), 2023
Publication | PDF

~2022~

Are We There Yet? A Decision Framework for Replacing Term-Based Retrieval with Dense Retrieval Systems

Sebastian Hofstätter, Nick Craswell, Bhaskar Mitra, Hamed Zamani, and Allan Hanbury
Preprint, 2022
ArXiv

Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems

Ida Larsen-Ledet, Bhaskar Mitra, and Siân Lindley
In proc. FAccTRec Workshop on Responsible Recommendation, ACM RecSys, 2022
ArXiv

A Multi-objective Optimization Framework for Multi-stakeholder Fairness-aware Recommendation

Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, and Xue Liu
In ACM Transactions on Information Systems (TOIS), 2022
Publication | PDF | ArXiv

Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards

Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, and Emine Yilmaz
In proc. ACM SIGIR, 2022
Publication | PDF

Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences

Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, and Carsten Eickhoff
In proc. ACM SIGIR, 2022
Publication | PDF

Joint Multisided Exposure Fairness for Recommendation

Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, and Xue Liu
In proc. ACM SIGIR, 2022
Publication | PDF | ArXiv

Report on the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021)

Chirag Shah, Torsten Suel, Fernando Diaz, Bhaskar Mitra, Bárbara Poblete, Hussein Suleman, and Suzan Verberne
In ACM SIGIR Forum, 2022
Publication | PDF

Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases

Shirin SeyedSalehi, Amin Bigdeli, Negar Arabzadeh, Bhaskar Mitra, Morteza Zihayat, and Ebrahim Bagheri
In proc. Extending Database Technology (EDBT), 2022
Publication | PDF

Exposing Query Identification for Search Transparency

Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, and Asia J. Biega
In proc. ACM TheWebConf, 2022
Publication | PDF | ArXiv

Less is Less: When are Snippets Insufficient for Human vs Machine Relevance Estimation?

Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell, and Linjun Yang
In proc. ECIR, 2022
Publication | PDF | ArXiv

Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness

Nicola Neophytou, Bhaskar Mitra, and Catherine Stinson
In proc. ECIR, 2022
Publication | PDF | ArXiv

Overview of the TREC 2021 Deep Learning Track

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, and Jimmy Lin
In proc. Text REtrieval Conference (TREC), 2022
Publication | PDF

~2021~

MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries

Negar Arabzadeh, Bhaskar Mitra, and Ebrahim Bagheri
In proc. ACM CIKM, 2021
Publication | PDF

Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking

Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, and Allan Hanbury
In proc. ACM SIGIR, 2021
Publication | PDF | ArXiv

Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models

Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, and Carsten Eickhoff
In proc. ACM SIGIR, 2021
Publication | PDF | ArXiv

Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence

Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, and Nick Craswell
In proc. ACM SIGIR, 2021
Publication | PDF | ArXiv

MS MARCO: Benchmarking Ranking Models in the Large-Data Regime

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, and Jimmy Lin
In proc. ACM SIGIR, 2021
Publication | PDF | ArXiv

TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, and Ian Soboroff
In proc. ACM SIGIR, 2021
Publication | PDF | ArXiv

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, and Emine Yilmaz
In proc. ACM SIGIR, 2021
Publication | PDF | ArXiv

Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification

Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, and Fernando Diaz
In proc. ACM CHIIR, 2021
Publication | PDF | ArXiv

Neural methods for effective, efficient, and exposure-aware information retrieval

Bhaskar Mitra
In ACM SIGIR Forum, 2021
Publication | PDF

Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval

Bhaskar Mitra
PhD thesis, University College London, 2021
Publication | PDF | ArXiv

Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track

Bhaskar Mitra, Sebastian Hofstatter, Hamed Zamani, and Nick Craswell
In proc. Text REtrieval Conference (TREC), 2021
Publication | PDF | ArXiv

Overview of the TREC 2020 Deep Learning Track

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, and Daniel Campos
In proc. Text REtrieval Conference (TREC), 2021
Publication | PDF

~2020~

Semantic Product Search for Matching Structured Product Catalogs in E-Commerce

Jason Ingyu Choi, Surya Kallumadi, Bhaskar Mitra, Eugene Agichtein, and Faizan Javed
Preprint, 2020
ArXiv

Conformer-Kernel with Query Term Independence for Document Retrieval

Bhaskar Mitra, Sebastian Hofstatter, Hamed Zamani, and Nick Craswell
Preprint, 2020
ArXiv

Evaluating Stochastic Rankings with Expected Exposure

Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, and Ben Carterette
In proc. ACM CIKM, 2020
🏆 Best Long Research Paper Nominee
Publication | PDF | ArXiv

ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search

Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, and Bodo Billerbeck
In proc. ACM CIKM, 2020
Publication | PDF | ArXiv

Analyzing and Learning from User Interactions for Search Clarification

Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, and Susan T. Dumais
In proc. ACM SIGIR, 2020
Publication | PDF | ArXiv

Local Self-Attention over Long Text for Efficient Document Retrieval

Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, and Allan Hanbury
In proc. ACM SIGIR, 2020
Publication | PDF | ArXiv

On the Reliability of Test Collections for Evaluating Systems of Different Types

Emine Yilmaz, Nick Craswell, Bhaskar Mitra, and Daniel Campos
In proc. ACM SIGIR, 2020
Publication | PDF | ArXiv

Duet at TREC 2019 Deep Learning Track

Bhaskar Mitra and Nick Craswell
In proc. Text REtrieval Conference (TREC), 2020
Publication | PDF | ArXiv

Overview of the TREC 2019 Deep Learning Track

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, and Ellen M. Voorhees
In proc. Text REtrieval Conference (TREC), 2020
Publication | PDF

~2019~

Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks

Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, and Emine Yilmaz
Preprint, 2019
ArXiv

An Updated Duet Model for Passage Re-ranking

Bhaskar Mitra and Nick Craswell
Preprint, 2019
ArXiv

An Axiomatic Approach to Regularizing Neural Ranking Models

Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, and Saurabh Tiwary
In proc. ACM SIGIR, 2019
Publication | PDF | ArXiv

Report on the First HIPstIR Workshop on the Future of Information Retrieval

Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Laura Dietz, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Bhaskar Mitra, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jeremy Pickens, Jordan Ramsdell, Adam Roegiest, David Smith, and Alessandro Sordoni
In ACM SIGIR Forum, 2019
Publication | PDF | ArXiv

~2018~

An Introduction to Neural Information Retrieval

Bhaskar Mitra and Nick Craswell
In Foundations and Trends® in Information Retrieval (FnTIR), 2018
Publication | PDF

A Line in the Sand: Recommendation or Ad-hoc Retrieval?

Surya Kallumadi, Bhaskar Mitra, and Tereza Iofciu
ACM RecSys Challenge, 2018
ArXiv

Cross Domain Regularization for Neural Ranking Models using Adversarial Learning

Daniel Cohen, Bhaskar Mitra, Katja Hofmann, and W. Bruce Croft
In proc. ACM SIGIR, 2018
🏆 Best Short Research Paper Award
Publication | PDF | ArXiv

Optimizing Query Evaluations Using Reinforcement Learning for Web Search

Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, and Saurabh Tiwary
In proc. ACM SIGIR, 2018
Publication | PDF | ArXiv

Neural Networks for Information Retrieval

Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, and Bhaskar Mitra
ECIR, 2018
PDF

Neural Networks for Information Retrieval

Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, and Bhaskar Mitra
ACM WSDM, 2018
ArXiv

Neural Ranking Models with Multiple Document Fields

Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, and Saurabh Tiwary
In proc. ACM WSDM, 2018
Publication | PDF | ArXiv

~2017~

Neural Models for Information Retrieval

Bhaskar Mitra and Nick Craswell
Preprint, 2017
ArXiv | Slides | Talk

Neural information retrieval: introduction to the special issue

Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, and Bhaskar Mitra
In the special issue of the Information Retrieval Journal (IRJ) on neural information retrieval, Springer Nature, 2017
Publication | PDF

Learning to Match using Local and Distributed Representations of Text for Web Search

Bhaskar Mitra, Fernando Diaz, and Nick Craswell
In proc. WWW, 2017
Publication | PDF | ArXiv

Reply With: Proactive Recommendation of Email Attachments

Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, and Nicola Cancedda
In proc. ACM CIKM, 2017
Publication | PDF | ArXiv

Benchmark for Complex Answer Retrieval

Federico Nanni, Bhaskar Mitra, Matt Magnusson, and Laura Dietz
In proc. ACM ICTIR, 2017
Publication | PDF | ArXiv

Toward Incorporation of Relevant Documents in word2vec

Navid Rekabsaz, Bhaskar Mitra, Mihai Lupu, and Allan Hanbury
In proc. Workshop on Neural Information Retrieval (Neu-IR'17), ACM SIGIR, 2017
ArXiv

Report on the Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17)

Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, and Bhaskar Mitra
In ACM SIGIR Forum, 2017
Publication | PDF

Luandri: A Clean Lua Interface to the Indri Search Engine

Bhaskar Mitra, Fernando Diaz, and Nick Craswell
In proc. ACM SIGIR, 2017
Publication | PDF | ArXiv

Neural Networks for Information Retrieval

Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, and Bhaskar Mitra
In proc. ACM SIGIR, 2017
Publication | PDF | ArXiv

SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17)

Nick Craswell, W Bruce Croft, Maarten de Rijke, Jiafeng Guo, and Bhaskar Mitra
In proc. ACM SIGIR, 2017
Publication | PDF

Neural Text Embeddings for Information Retrieval

Bhaskar Mitra and Nick Craswell
In proc. ACM WSDM, 2017
Publication | PDF

~2016~

Report on the SIGIR 2016 Workshop on Neural Information Retrieval (Neu-IR)

Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, and Maarten de Rijke
In ACM SIGIR Forum, 2016
Publication | PDF

Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval

Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, and Maarten de Rijke
In proc. ACM SIGIR, 2016
Publication | PDF

A Proposal for Evaluating Answer Distillation from Web Data

Bhaskar Mitra, Grady Simon, Jianfeng Gao, Nick Craswell, and Li Deng
In proc. the Second WebQA Workshop, ACM SIGIR, 2016
PDF

Query Expansion with Locally-Trained Word Embeddings

Fernando Diaz, Bhaskar Mitra, and Nick Craswell
In proc. ACL, 2016
Publication | PDF | ArXiv

A Dual Embedding Space Model for Document Ranking

Bhaskar Mitra, Eric Nalisnick, Nick Craswell, and Rich Caruana
Preprint, 2016
ArXiv

Improving Document Ranking with Dual Word Embeddings

Eric Nalisnick, Bhaskar Mitra, Nick Craswell, and Rich Caruana
In proc. WWW, 2016
Publication | PDF

~2015~

Query Auto-Completion for Rare Prefixes

Bhaskar Mitra and Nick Craswell
In proc. ACM CIKM, 2015
Publication | PDF

Exploring Session Context using Distributed Representations of Queries and Reformulations

Bhaskar Mitra
In proc. ACM SIGIR, 2015
Publication | PDF

~2014~

An Introduction to Computational Networks and the Computational Network Toolkit

Amit Agarwal, Eldar Akchurin, Chris Basoglu, Guoguo Chen, Scott Cyphers, Jasha Droppo, Adam Eversole, Brian Guenter, Mark Hillebrand, Xuedong Huang, Zhiheng Huang, Vladimir Ivanov, Alexey Kamenev, Philipp Kranen, Oleksii Kuchaiev, Wolfgang Manousek, Avner May, Bhaskar Mitra, Olivier Nano, Gaizka Navarro, Alexey Orlov, Marko Padmilac, Hari Parthasarathi, Baolin Peng, Alexey Reznichenko, Frank Seide, Michael L. Seltzer, Malcolm Slaney, Andreas Stolcke, Huaming Wang, Kaisheng Yao, Dong Yu, Yu Zhang, and Geoffrey Zweig
Tech report MSR-TR-2014-112, 2014
Publication | PDF

An Eye-tracking Study of User Interactions with Query Auto Completion

Kajta Hofmann, Bhaskar Mitra, Filip Radlinski, and Milad Shokouhi
In proc. ACM CIKM, 2014
Publication | PDF

On user interactions with query auto-completion

Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, and Katja Hofmann
In proc. ACM SIGIR, 2014
Publication | PDF