Faculty

Institution

Unit

Venue

Sewon Min

Assistant Professor

University of California, Berkeley

Affiliations

College of Engineering

Electrical Engineering & Computer Sciences

Sewon Min is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She received her Ph.D. from the University of Washington in 2024 and her B.S. from Seoul National University in 2018. Her research focuses on natural language processing, including retrieval-augmented language models, open-domain question answering, and semantic evaluation. She is recognized for developing REPLUG, a retrieval-augmented framework for black-box language models, and for measuring compositionality gaps in LLMs. Her recent work addresses reference-based distillation detection and scalable neural retrieval. Min received the 2025 ACM Doctoral Dissertation Award and previously worked as a Research Scientist at the Allen Institute for AI.

Honors

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Experiences

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Sewon Min

University of California, Berkeley

Assistant Professor

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natural language processing linguistics machine learning question answering computational linguistics computer science information retrieval language semantic evaluation data science knowledge representation and reasoning language learning natural language generation learning theory nlp task context (linguistics) artificial intelligence neural computation knowledge discovery human-computer interaction databases computational intelligence water process engineering context model ubiquitous learning text recognition supervised learning zero-shot learning computational lexicology semantic parsing data-driven learning language comprehension language technologies information seeking semantic search linked data entity disambiguation intelligent information retrieval process measurement compositionality gap dense passage retrieval query-reduction networks pretrained language models discretized interpretation continuous prompts prompt waywardness language modeling information-seeking questions fact verification false presuppositions long sequences information-seeking conversations mixed-initiative interactions

Notable Scholarly Works

Notable Federal Grants

Collaborators

Ds Serve: A Framework for Efficient and Scalable Neural Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence (2026)

artificial intelligencecomputer scienceneural computationintelligent information retrievalneural network (machine learning)computational intelligencemachine learning

Reference-Based Distillation Detection in Llms. arXiv (Cornell University) (2026)

water process engineeringenvironmental engineeringanalytical chemistryprocess measurement

REPLUG: Retrieval-Augmented Black-Box Language Models. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2024)

Weijia ShiSewon MinMichihiro YasunagaMinjoon SeoRichard JamesMike LewisLuke ZettlemoyerWen-tau Yih

information retrievallinguistics

CREPE: Open-Domain Question Answering With False Presuppositions. Annual Meeting of the Association for Computational Linguistics (2023)

Xinyan YuSewon MinLuke ZettlemoyerHannaneh Hajishirzi

question answeringlinguisticsnatural language processingfalse presuppositionsmachine learning

INSCIT: Information-Seeking Conversations With Mixed-Initiative Interactions. Transactions of the Association for Computational Linguistics (2023)

Zeqiu WuRyu ParishHao ChengSewon MinPrithviraj AmmanabroluMari OstendorfHannaneh Hajishirzi

mixed-initiative interactionslinguisticshuman-computer interactioncomputational linguisticsinformation seekinginformation-seeking conversationsnatural language processing

Measuring and Narrowing the Compositionality Gap in Language Models. Conference on Empirical Methods in Natural Language Processing (2023)

Ofir PressMuru ZhangSewon MinLudwig SchmidtNoah SmithMike Lewis

compositionality gapcomputational linguisticslinguistics

Nonparametric Masked Language Modeling. Findings of the Association for Computational Linguistics: ACL 2022 (2023)

Sewon MinWeijia ShiMike LewisXilun ChenWen-tau YihHannaneh HajishirziLuke Zettlemoyer

natural language processinglanguage modelinglinguistics

FAVIQ: Fact Verification From Information-Seeking Questions. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)

Jungsoo ParkSewon MinJaewoo KangLuke ZettlemoyerHannaneh Hajishirzi

linguisticsfact verificationcomputational linguisticsnatural language processingcomputational lexicologyinformation-seeking questions

METAICL: Learning to Learn in Context. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)

Sewon MinMike LewisLuke ZettlemoyerHannaneh Hajishirzi

ubiquitous learninglearning theorynlp tasklinguisticsknowledge discoverycontext (linguistics)context modelknowledge representation and reasoningcomputational linguisticscognitive sciencenatural language processingmachine learninglanguage learning

Noisy Channel Language Model Prompting for Few-Shot Text Classification. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)

Sewon MinMike LewisHannaneh HajishirziLuke Zettlemoyer

natural language processingtext recognitioncomputational linguisticslinguistics

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Sewon Min

Assistant Professor

University of California, Berkeley

Affiliations

College of Engineering

Electrical Engineering & Computer Sciences

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Sewon Min

University of California, Berkeley

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Ds Serve: A Framework for Efficient and Scalable Neural Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence (2026)

artificial intelligencecomputer scienceneural computationintelligent information retrievalneural network (machine learning)computational intelligencemachine learning

Reference-Based Distillation Detection in Llms. arXiv (Cornell University) (2026)

water process engineeringenvironmental engineeringanalytical chemistryprocess measurement

REPLUG: Retrieval-Augmented Black-Box Language Models. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2024)

Weijia ShiSewon MinMichihiro YasunagaMinjoon SeoRichard JamesMike LewisLuke ZettlemoyerWen-tau Yih

information retrievallinguistics

CREPE: Open-Domain Question Answering With False Presuppositions. Annual Meeting of the Association for Computational Linguistics (2023)

Xinyan YuSewon MinLuke ZettlemoyerHannaneh Hajishirzi

question answeringlinguisticsnatural language processingfalse presuppositionsmachine learning

INSCIT: Information-Seeking Conversations With Mixed-Initiative Interactions. Transactions of the Association for Computational Linguistics (2023)

Zeqiu WuRyu ParishHao ChengSewon MinPrithviraj AmmanabroluMari OstendorfHannaneh Hajishirzi

mixed-initiative interactionslinguisticshuman-computer interactioncomputational linguisticsinformation seekinginformation-seeking conversationsnatural language processing

Measuring and Narrowing the Compositionality Gap in Language Models. Conference on Empirical Methods in Natural Language Processing (2023)

Ofir PressMuru ZhangSewon MinLudwig SchmidtNoah SmithMike Lewis

compositionality gapcomputational linguisticslinguistics

Nonparametric Masked Language Modeling. Findings of the Association for Computational Linguistics: ACL 2022 (2023)

Sewon MinWeijia ShiMike LewisXilun ChenWen-tau YihHannaneh HajishirziLuke Zettlemoyer

natural language processinglanguage modelinglinguistics

FAVIQ: Fact Verification From Information-Seeking Questions. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)

Jungsoo ParkSewon MinJaewoo KangLuke ZettlemoyerHannaneh Hajishirzi

linguisticsfact verificationcomputational linguisticsnatural language processingcomputational lexicologyinformation-seeking questions

METAICL: Learning to Learn in Context. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)

Sewon MinMike LewisLuke ZettlemoyerHannaneh Hajishirzi

Noisy Channel Language Model Prompting for Few-Shot Text Classification. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)

Sewon MinMike LewisHannaneh HajishirziLuke Zettlemoyer

natural language processingtext recognitioncomputational linguisticslinguistics

1
2
3
10 / page