Mitra, Bhaskar

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Bajaj, P., Campos, D., Craswell, N., Deng, L., Gao, J., Liu, X., Majumder, R., McNamara, A., Mitra, B., Nguyen, T., et al. (2016) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 2,473

An Introduction to Neural Information Retrieval

Mitra, B., & Craswell, N. (2018) · Foundations and Trends® in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 317

Large Language Models can Accurately Predict Searcher Preferences

Thomas, P., Spielman, S., Craswell, N., & Mitra, B. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 168

Overview of the TREC 2020 Deep Learning Track

Craswell, N., Mitra, B., Yilmaz, E., & Campos, D. (2021) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 107

Overview of the TREC 2019 deep learning track

Craswell, N., Mitra, B., Yilmaz, E., Campos, D., & Voorhees, E. M. (2020) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 68

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

Craswell, N., Mitra, B., Yilmaz, E., Campos, D., Voorhees, E. M., & Soboroff, I. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 58

Benchmark for Complex Answer Retrieval

Nanni, F., Mitra, B., Magnusson, M., & Dietz, L. (2017) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 7

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

Gordon, A. D., Negreanu, C., Cambronero, J., Chakravarthy, R., Drosos, I., Fang, H., Mitra, B., Richardson, H., Sarkar, A., Simmons, S., et al. (2023) · arXiv

Spreadsheets and End-User ComputingSoftware Engineering Research

Cited by 4

Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation

Thieme, A., Faia Marques, R., Grayson, M., Balachandar, S., Tyler Cassidy, C., Choksi, M. Z., Longden, C., Huda, R. S., Ileve Kalovwe, N., Mallon, C., et al. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIDisability Rights and Representation

Cited by 1

LLMJudge: LLMs for Relevance Judgments

Rahmani, H. A., Yilmaz, E., Craswell, N., Mitra, B., Thomas, P., Clarke, C. L. A., Aliannejadi, M., Siro, C., & Faggioli, G. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

Overview of the TREC 2023 Deep Learning Track

Craswell, N., Mitra, B., Yilmaz, E., Rahmani, H. A., Campos, D., Lin, J., Voorhees, E. M., & Soboroff, I. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0