🧑‍🔬 Sewon Min — all works

41 works · ← Sewon Min

1. Dense Passage Retrieval for Open-Domain Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Vladimir Karpukhin, Barlas Oguz, Sewon Min, et al.2020 · 5,421 citations
2. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,444 citations
3. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 987 citations
4. UNIFIEDQA: Crossing Format Boundaries with a Single QA SystemFindings of the Association for Computational LinguisticsDaniel Khashabi, Sewon Min, Tushar Khot, et al.2020 · 857 citations
5. Measuring and Narrowing the Compositionality Gap in Language Models ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetOfir Press et al.2023 · 776 citations
6. REPLUG: Retrieval-Augmented Black-Box Language ModelsarXiv:2301.12652Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 492 citations
7. AmbigQA: Answering Ambiguous Open-domain Questions ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetSewon Min et al.2020 · 437 citations
8. MetaICL: Learning to Learn In Context ↗arXiv:2110.15943 · no summary yetSewon Min et al.2021 · 315 citations
9. Multi-hop Reading Comprehension through Question Decomposition and RescoringAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Victor Zhong, Luke Zettlemoyer, et al.2019 · 312 citations
10. Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersAnnual Meeting of the Association for Computational Linguistics (ACL)Boshi Wang, Sewon Min, Xiang Deng, et al.2023 · 272 citations
11. Noisy Channel Language Model Prompting for Few-Shot Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.2021 · 243 citations
12. A Discrete Hard EM Approach for Weakly Supervised Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Danqi Chen, Hannaneh Hajishirzi, et al.2019 · 237 citations
13. Compositional Questions Do Not Necessitate Multi-hop ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Eric Wallace, Sameer Singh, et al.2019 · 235 citations
14. Efficient and Robust Question Answering from Minimal Context over DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Victor Zhong, Richard Socher, et al.2018 · 197 citations
15. Efficient One-Pass End-to-End Entity Linking for Questions ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetBelinda Z. Li et al.2020 · 172 citations
16. Question Answering through Transfer Learning from Large Fine-grained Supervision Data ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetSewon Min, Minjoon Seo, Hannaneh Hajishirzi2017 · 157 citations
17. Retrieval-based Language Models and ApplicationsAnnual Meeting of the Association for Computational Linguistics (ACL)Akari Asai, Sewon Min, Zexuan Zhong, et al.2023 · 141 citations
18. Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering ↗arXiv:1911.03868 · no summary yetSewon Min et al.2019 · 133 citations
19. NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned ↗arXiv (Cornell University) · no summary yetSewon Min et al.2021 · 108 citations
20. Do Membership Inference Attacks Work on Large Language Models?arXiv:2402.07841Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.2024 · 87 citations
21. CREPE: Open-Domain Question Answering with False PresuppositionsXinyan Yu, Sewon Min, Luke Zettlemoyer, et al.English · 66 citations
22. Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion TokensarXiv:2401.17377Jiacheng Liu, Sewon Min, Luke Zettlemoyer, et al.2024 · 62 citations
23. Nonparametric Masked Language Modeling ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetSewon Min et al.2023 · 62 citations
24. In-context Pretraining: Language Modeling Beyond Document BoundariesarXiv:2310.10638Weijia Shi, Sewon Min, Maria Lomeli, et al.2023 · 61 citations
25. Reasoning Models Can Be Effective Without Thinking ↗arXiv:2504.09858 · no summary yetWenjie Ma et al.2025 · 58 citations
26. Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXinxi Lyu et al.2023 · 56 citations
27. Spurious Rewards: Rethinking Training Signals in RLVR ↗arXiv:2506.10947 · no summary yetRulin Shao et al.2025 · 53 citations
28. FaVIQ: FAct Verification from Information-seeking Questions ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJungsoo Park et al.2022 · 47 citations
29. SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore ↗arXiv:2308.04430 · no summary yetSewon Min et al.2023 · 45 citations
30. ReasonIR: Training Retrievers for Reasoning Tasks ↗arXiv (Cornell University) · no summary yetRulin Shao et al.2025 · 41 citations
31. Scaling Retrieval-Based Language Models with a Trillion-Token Datastore ↗neural information processing systems · no summary yetRulin Shao et al.2024 · 30 citations
32. DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep ResearcharXiv:2511.19399Rulin Shao, Akari Asai, Shannon Zejiang Shen, et al.2025 · 28 citations
33. Organize the Web: Constructing Domains Enhances Pre-Training Data Curation ↗ICML 2025 · no summary yetAlexander Wettig et al.2025 · 28 citations
34. InSCIt: Information-Seeking Conversations with Mixed-Initiative InteractionsTransactions of the Association for Computational Linguistics (TACL)Zeqiu Wu, Ryu Parish, Hao Cheng, et al.2023 · 23 citations
35. CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetTong Chen et al.2024 · 19 citations
36. FlexOLMo: Open Language Models for Flexible Data Use ↗neural information processing systems · no summary yetWeijia Shi et al.2025 · 5 citations
37. LEANN: A Low-Storage Vector Index ↗arXiv (Cornell University) · no summary yetYichuan Wang et al.2025 · 2 citations
38. Constantly Improving Image Models Need Constantly Improving Benchmarks ↗arXiv (Cornell University) · no summary yetJiaxin Ge et al.2025 · 1 citation
39. OmniTaskonomy: When Does Visual Generation Improve Visual Understanding? ↗arXiv (Cornell University) · no summary yetJiaxin Ge et al.2026
40. No More Free Lunch: Corpus Task Complexity Matters as Corpora Grow ↗arXiv (Cornell University) · no summary yetPrasann Singhal et al.2026
41. Rethinking Data Use in Large Language Models ↗Computational Linguistics · no summary yetSewon Min, Hannaneh Hajishirzi, Luke Zettlemoyer2025

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