Bhaskar Mitra
Principal Researcher
Talks and Professional Service
- Associate Editor: ACM Transactions on Information Systems (opens in new tab) (2024-2027).
- ACM SIGIR Volunteer: Community Relations Coordinator (opens in new tab) (2022-2025).
- Workshop: LLM4Eval: Large Language Model for Evaluation in IR (opens in new tab), with Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charlie Clarke, Guglielmo Faggioli, Paul Thomas, and Emine Yilmaz, WSDM (opens in new tab), March 2025.
- Best Paper Chair: SIGIR-AP, 2024.
- Invited talk: Sociotechnical Implications of Generative AI for Information Access (slides (opens in new tab)), at (Re)defining Responsible AI workshop at MILA (opens in new tab), October 2024.
- Keynote talk: Bias and Beyond: On Generative AI and the Future of Search and Society (slides (opens in new tab)), at The International Workshop on
Algorithmic Bias in Search and Recommendation (BIAS) (opens in new tab), at SIGIR (opens in new tab) (Washington DC, USA), July 2024. - Workshop: ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval (opens in new tab), with Maik Fröbe, Joel Mackenzie, Franco Maria Nardini, and Martin Potthast, SIGIR (opens in new tab), July 2024.
- Workshop: LLM4Eval: Large Language Model for Evaluation in IR (opens in new tab), with Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charlie Clarke, Guglielmo Faggioli, Paul Thomas, and Emine Yilmaz, SIGIR (opens in new tab), July 2024.
- Invited panelist: Diversity, Equity, and Inclusion (DEI) lunch, with Clemencia Siro, Vanessa Murdock, Nicola Ferro, and Doug Oard, SIGIR (opens in new tab), July 2024.
- Invited talk: Search and Society: Reimagining Information Access for Radical Futures (slides (opens in new tab)), at Canadian AI 2024 (opens in new tab), May 2024.
- Workshop: The Search Futures Workshop (opens in new tab), with Leif Azzopardi, Charlie Clarke, Paul Kantor, Johanne Trippas, and Zhaochun Ren, ECIR (opens in new tab), March 2024.
- Resource & Reproducibility Chair: SIGIR, 2024 (opens in new tab).
- Industry Chair: FIRE, 2023 (opens in new tab).
- Challenge: Tip-of-the-Tongue track (opens in new tab), with Jaime Arguello, Samarth Bhargav, Fernando Diaz, and Evangelos Kanoulas, Text REtrieval Conference (TREC) (opens in new tab), November 2023.
- Challenge: Deep Learning track (opens in new tab), with Nick Craswell, Emine Yilmaz, Daniel Campos, and Jimmy Lin, Text REtrieval Conference (TREC) (opens in new tab), November 2023.
- Tutorials Chair: ECIR, 2023 (opens in new tab).
- Invited talk: Joint Multisided Exposure Fairness for Search and Recommendation (slides (opens in new tab)), at SEA: Search Engines Amsterdam (opens in new tab), January 2023.
- Challenge: Deep Learning track (opens in new tab), with Nick Craswell, Emine Yilmaz, Daniel Campos, and Jimmy Lin, Text REtrieval Conference (TREC) (opens in new tab), November 2022.
- Invited talk: What’s next for deep learning for Search? (slides (opens in new tab)), at Etsy (opens in new tab), November 2022.
- PhD Symposium Chair: CIKM, 2022 (opens in new tab).
- Invited talk: So, You Want to Release a Dataset? Reflections on Benchmark Development, Community Building, and Making Robust Scientific Progress (slides (opens in new tab)), at Spotify (opens in new tab), September 2022.
- Keynote talk: Efficient Machine Learning and Machine Learning for Efficiency in Information Retrieval (slides (opens in new tab)), at The Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR) (opens in new tab), at SIGIR (opens in new tab) (Madrid, Spain), July 2022.
- Served on Best Short Paper Committee: SIGIR, 2022 (opens in new tab).
- Invited talk: Multisided Exposure Fairness for Search and Recommendation (slides (opens in new tab)), at Lowe’s (opens in new tab), June 2022.
- Guest lecture: Neural Learning to Rank (slides (opens in new tab)), at Dayananda Sagar College of Engineering (opens in new tab), May 2022.
- Invited talk: Deep Learning for Effective, Exposure-Aware, and Efficient Information Retrieval, at Microsoft Research (Cambridge, UK) (opens in new tab), April 2022.
- Invited talk: Multisided Exposure Fairness for Search and Recommendation, at Microsoft Research (Montreal, Canada) (opens in new tab), February 2022.
- Challenge: Deep Learning track (opens in new tab), with Nick Craswell, Emine Yilmaz, Daniel Campos, and Jimmy Lin, Text REtrieval Conference (TREC) (opens in new tab), November 2021.
- Diversity and Inclusion Scholarship Chair: CIKM, 2021 (opens in new tab).
- Diversity, Equity, and Inclusion chair: SIGIR, 2021 (opens in new tab).
- Virtual Organization chair: SIGIR, 2021 (opens in new tab).
- Invited talk: Neural Information Retrieval: In search of meaningful progress (opens in new tab) (slides (opens in new tab), video (opens in new tab)), at CIIR Talk Series (opens in new tab) at University of Massachusetts Amherst (opens in new tab), March 2021.
- Invited talk: Neural Information Retrieval: In search of meaningful progress (opens in new tab) (slides (opens in new tab)), at CLIP Colloquium (opens in new tab) at University of Maryland (opens in new tab), March 2021.
- Guest lecture: Deep Neural Methods for Retrieval (slides (opens in new tab), video (opens in new tab)), at University College London (opens in new tab), March 2021.
- Guest lecture: Neural Learning to Rank (slides (opens in new tab), video (opens in new tab)), at University College London (opens in new tab), March 2021.
- Keynote talk: Benchmarking for Neural Information Retrieval: MS MARCO, TREC, and Beyond (slides (opens in new tab)), at NLIWOD workshop (opens in new tab), at International Semantic Web Conference (opens in new tab), November 2020.
- Challenge: Deep Learning track (opens in new tab), with Nick Craswell, Emine Yilmaz, and Daniel Campos, Text REtrieval Conference (TREC) (opens in new tab), November 2020.
- Guest lecture: Deep Neural Methods for Retrieval (slides (opens in new tab), video (opens in new tab)), at Emory University (opens in new tab), April 2020.
- Guest lecture: Neural Learning to Rank (slides (opens in new tab), video (opens in new tab)), at Emory University (opens in new tab), April 2020.
- Tutorial: Learning to Rank for Information Retrieval with Neural Networks (slides (opens in new tab) / video (opens in new tab) / hands-on lab materials (opens in new tab)), with Nick Craswell, Emine Yilmaz, and Daniel Campos, ACM SIGIR/SIGKDD Africa Summer School on Machine Learning for Data Mining and Search (AFIRM) (opens in new tab), January 2020.
- Tutorial: Deep Learning for Search (opens in new tab) (slides (opens in new tab)), Forum for Information Retrieval Evaluation (FIRE) (opens in new tab), December 2019.
- Challenge: Deep Learning track (opens in new tab), with Nick Craswell, Emine Yilmaz, and Daniel Campos, Text REtrieval Conference (TREC) (opens in new tab), November 2019.
- Workshop: HIPstIR 2019: The hip “stick, sand, and paper” retreat on the future of information retrieval (opens in new tab) (report (opens in new tab)), with Laura Dietz and Jeremy Pickens, September 2019.
- Tutorial: Neural Learning to Rank (slides (opens in new tab)), IVADO recommender systems summer school (opens in new tab), August 2019.
- Tutorial: Deep Learning for Search (slides (opens in new tab) / hands-on lab materials (opens in new tab)), with Nick Craswell, Emine Yilmaz, and Daniel Campos, ACM SIGIR/SIGKDD Africa Summer School on Machine Learning for Data Mining and Search (AFIRM) (opens in new tab), January 2019.
- Challenge: Microsoft MAchine Reading COmprehension (MS MARCO) (opens in new tab) passage ranking task, organised with Payal Bajaj, Daniel Campos, Nick Craswell, and others, November 2018.
- Guest editor: Special Issue of Information Retrieval Journal on Neural Information Retrieval (opens in new tab), with Nick Craswell, W. Bruce Croft, Maarten de Rijke, and Jiafeng Guo, June 2018.
- Keynote talk: 5 Lessons Learned from Designing Neural Models for Information Retrieval (slides (opens in new tab)), at The 10th Recherche d’Information SEmantique (RISE) workshop (opens in new tab), at The CORIA-TALN-RJC conference (opens in new tab) (Rennes, France), May 2018.
- Invited panelist: From Research To Production, at ECIR Industry Day (opens in new tab), with Julia Kiseleva, Craig Macdonald, Radim Řehůřek, and Agnes van Belle, ECIR (opens in new tab), March 2018.
- Tutorial: Neural Networks for Information Retrieval (slides (opens in new tab)), with Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Deghani, and Maarten de Rijke, ECIR (opens in new tab), March 2018.
- Guest lecture: A Simple Introduction to Neural Information Retrieval (slides (opens in new tab)), at University College London (opens in new tab), March 2018.
- Tutorial: Neural Networks for Information Retrieval (slides (opens in new tab)), with Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Deghani, and Maarten de Rijke, WSDM (opens in new tab), February 2018.
- Invited talk: Neural Models for Information Retrieval (slides (opens in new tab)), at Facebook (Seattle, USA) (opens in new tab), November 2017.
- Invited talk: Neural Models for Information Retrieval (slides (opens in new tab) / video (opens in new tab)), at Microsoft Research (Redmond, USA) (opens in new tab), November 2017.
- Invited talk: Neural Models for Information Retrieval (slides (opens in new tab)), at the School of Computing Sciences (opens in new tab) at the University of Glasgow (opens in new tab), November 2017.
- Invited talk: Neural Models for Document Ranking (slides (opens in new tab)), at The 4th International Alexandria Workshop (opens in new tab) (Hannover, Germany), October 2017.
- Invited talk: Neural Models for Information Retrieval (slides (opens in new tab)), at The NLIP seminar series at the University of Cambridge computer laboratory (opens in new tab), October 2017.
- Tutorial: NN4IR: The SIGIR 2017 tutorial on Neural Networks for Information Retrieval (slides (opens in new tab)), with Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Deghani, and Maarten de Rijke, SIGIR (opens in new tab), August 2017.
- Workshop: Neu-IR’17: SIGIR 2017 Workshop on Neural Information Retrieval (opens in new tab) (report (opens in new tab)), with Nick Craswell, W. Bruce Croft, Maarten de Rijke, and Jiafeng Guo, SIGIR (opens in new tab), August 2017.
- Session chair: Deep learning in practice, Industry track (opens in new tab), WWW (opens in new tab), 2017.
- Tutorial: The WSDM 2017 Tutorial on Neural Text Embeddings for Information Retrieval (opens in new tab) (slides (opens in new tab)), with Nick Craswell, WSDM (opens in new tab), February 2017.
- Workshop: Neu-IR 2016: The SIGIR 2016 Workshop on Neural Information Retrieval (opens in new tab) (report (opens in new tab)), with Nick Craswell, W. Bruce Croft, Maarten de Rijke, and Jiafeng Guo, SIGIR (opens in new tab), July 2016.
- Invited talk: Using Text Embeddings for Information Retrieval (slides (opens in new tab)), at the School of Computing Sciences (opens in new tab) at the University of Glasgow (opens in new tab), May 2016.
- Invited talk: A Simple Introduction to Word Embeddings (slides (opens in new tab)), at the North Eastern University (Seattle) (opens in new tab), April 2016.
- Invited talk: Vectorland: Brief Notes from Using Text Embeddings for Search (slides (opens in new tab)), at Search Solutions (opens in new tab) (London, UK), November 2015.
- Best paper program committee: SIGIR.
- Program committee member: TREC, WWW, NAACL, SIGIR, WSDM, CIKM, ICTIR, and others.