---
title: "Sewon Min — all works — Elamur Research"
description: "All 41 works of Sewon Min in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/sewon-min/works/"
---
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# Sewon Min — all works

41 works · [← Sewon Min](https://md.research.elamur.ai/free/en/authors/sewon-min/)

1. **[Dense Passage Retrieval for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/karpukhin-2020-dense-passage-retrieval-open-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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?](https://md.research.elamur.ai/free/en/papers/min-2022-rethinking-role-demonstrations-what-makes/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 Generation](https://md.research.elamur.ai/free/en/papers/min-2023-factscore-fine-grained-atomic-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.*2023 · 987 citations*
4. **[UNIFIEDQA: Crossing Format Boundaries with a Single QA System](https://md.research.elamur.ai/free/en/papers/khashabi-2020-unifiedqa-crossing-format-boundaries-single/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Daniel Khashabi, Sewon Min, Tushar Khot, et al.*2020 · 857 citations*
5. **[Measuring and Narrowing the Compositionality Gap in Language Models ↗](https://aclanthology.org/2023.findings-emnlp.378/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Ofir Press et al.*2023 · 776 citations*
6. [**REPLUG: Retrieval-Augmented Black-Box Language Models arXiv:2301.12652**Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.*2023 · 492 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/)
7. **[AmbigQA: Answering Ambiguous Open-domain Questions ↗](https://aclanthology.org/2020.emnlp-main.466/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Sewon Min et al.*2020 · 437 citations*
8. **[MetaICL: Learning to Learn In Context ↗](https://arxiv.org/abs/2110.15943) arXiv:2110.15943 · no summary yet**Sewon Min et al.*2021 · 315 citations*
9. **[Multi-hop Reading Comprehension through Question Decomposition and Rescoring](https://md.research.elamur.ai/free/en/papers/min-2019-multi-hop-reading-comprehension-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Victor Zhong, Luke Zettlemoyer, et al.*2019 · 312 citations*
10. **[Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters](https://md.research.elamur.ai/free/en/papers/wang-2023-understanding-chain-thought-prompting-empirical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Boshi Wang, Sewon Min, Xiang Deng, et al.*2023 · 272 citations*
11. **[Noisy Channel Language Model Prompting for Few-Shot Text Classification](https://md.research.elamur.ai/free/en/papers/min-2021-noisy-channel-language-model-prompting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.*2021 · 243 citations*
12. **[A Discrete Hard EM Approach for Weakly Supervised Question Answering](https://md.research.elamur.ai/free/en/papers/min-2019-discrete-hard-em-approach-weakly/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Danqi Chen, Hannaneh Hajishirzi, et al.*2019 · 237 citations*
13. **[Compositional Questions Do Not Necessitate Multi-hop Reasoning](https://md.research.elamur.ai/free/en/papers/min-2019-compositional-questions-do-not-necessitate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Eric Wallace, Sameer Singh, et al.*2019 · 235 citations*
14. **[Efficient and Robust Question Answering from Minimal Context over Documents](https://md.research.elamur.ai/free/en/papers/min-2018-efficient-robust-question-answering-minimal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Victor Zhong, Richard Socher, et al.*2018 · 197 citations*
15. **[Efficient One-Pass End-to-End Entity Linking for Questions ↗](https://aclanthology.org/2020.emnlp-main.522/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Belinda Z. Li et al.*2020 · 172 citations*
16. **[Question Answering through Transfer Learning from Large Fine-grained Supervision Data ↗](https://aclanthology.org/P17-2081/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Sewon Min, Minjoon Seo, Hannaneh Hajishirzi*2017 · 157 citations*
17. **[Retrieval-based Language Models and Applications](https://md.research.elamur.ai/free/en/papers/asai-2023-retrieval-based-language-models-applications/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Akari Asai, Sewon Min, Zexuan Zhong, et al.*2023 · 141 citations*
18. **[Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering ↗](https://arxiv.org/abs/1911.03868) arXiv:1911.03868 · no summary yet**Sewon Min et al.*2019 · 133 citations*
19. **[NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned ↗](https://arxiv.org/abs/2101.00133) arXiv (Cornell University) · no summary yet**Sewon Min et al.*2021 · 108 citations*
20. [**Do Membership Inference Attacks Work on Large Language Models? arXiv:2402.07841**Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/duan-2024-membership-inference-attacks-work-large/)
21. [**CREPE: Open-Domain Question Answering with False Presuppositions**Xinyan Yu, Sewon Min, Luke Zettlemoyer, et al.*English · 66 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-crepe-open-domain-question-answering/)
22. [**Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens arXiv:2401.17377**Jiacheng Liu, Sewon Min, Luke Zettlemoyer, et al.*2024 · 62 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-infini-gram-scaling-unbounded-n/)
23. **[Nonparametric Masked Language Modeling ↗](https://aclanthology.org/2023.findings-acl.132/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Sewon Min et al.*2023 · 62 citations*
24. [**In-context Pretraining: Language Modeling Beyond Document Boundaries arXiv:2310.10638**Weijia Shi, Sewon Min, Maria Lomeli, et al.*2023 · 61 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-context-pretraining-language-modeling-document/)
25. **[Reasoning Models Can Be Effective Without Thinking ↗](https://arxiv.org/abs/2504.09858) arXiv:2504.09858 · no summary yet**Wenjie Ma et al.*2025 · 58 citations*
26. **[Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations ↗](https://aclanthology.org/2023.acl-long.129/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xinxi Lyu et al.*2023 · 56 citations*
27. **[Spurious Rewards: Rethinking Training Signals in RLVR ↗](https://arxiv.org/abs/2506.10947) arXiv:2506.10947 · no summary yet**Rulin Shao et al.*2025 · 53 citations*
28. **[FaVIQ: FAct Verification from Information-seeking Questions ↗](https://aclanthology.org/2022.acl-long.354/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jungsoo Park et al.*2022 · 47 citations*
29. **[SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore ↗](https://arxiv.org/abs/2308.04430) arXiv:2308.04430 · no summary yet**Sewon Min et al.*2023 · 45 citations*
30. **[ReasonIR: Training Retrievers for Reasoning Tasks ↗](https://arxiv.org/abs/2504.20595) arXiv (Cornell University) · no summary yet**Rulin Shao et al.*2025 · 41 citations*
31. **[Scaling Retrieval-Based Language Models with a Trillion-Token Datastore ↗](https://doi.org/10.52202/079017-2896) neural information processing systems · no summary yet**Rulin Shao et al.*2024 · 30 citations*
32. [**DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research arXiv:2511.19399**Rulin Shao, Akari Asai, Shannon Zejiang Shen, et al.*2025 · 28 citations*](https://md.research.elamur.ai/free/en/papers/shao-2025-dr-tulu-reinforcement-learning-evolving/)
33. **[Organize the Web: Constructing Domains Enhances Pre-Training Data Curation ↗](https://arxiv.org/abs/2502.10341) ICML 2025 · no summary yet**Alexander Wettig et al.*2025 · 28 citations*
34. **[InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions](https://md.research.elamur.ai/free/en/papers/wu-2023-inscit-information-seeking-conversations-mixed/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://aclanthology.org/2024.emnlp-main.844/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tong Chen et al.*2024 · 19 citations*
36. **[FlexOLMo: Open Language Models for Flexible Data Use ↗](https://doi.org/10.52202/085713-5530) neural information processing systems · no summary yet**Weijia Shi et al.*2025 · 5 citations*
37. **[LEANN: A Low-Storage Vector Index ↗](https://arxiv.org/abs/2506.08276) arXiv (Cornell University) · no summary yet**Yichuan Wang et al.*2025 · 2 citations*
38. **[Constantly Improving Image Models Need Constantly Improving Benchmarks ↗](https://arxiv.org/abs/2510.15021) arXiv (Cornell University) · no summary yet**Jiaxin Ge et al.*2025 · 1 citation*
39. **[OmniTaskonomy: When Does Visual Generation Improve Visual Understanding? ↗](https://arxiv.org/abs/2609.38079) arXiv (Cornell University) · no summary yet**Jiaxin Ge et al.*2026*
40. **[No More Free Lunch: Corpus Task Complexity Matters as Corpora Grow ↗](https://arxiv.org/abs/2609.29245) arXiv (Cornell University) · no summary yet**Prasann Singhal et al.*2026*
41. **[Rethinking Data Use in Large Language Models ↗](https://aclanthology.org/2025.cl-4.1/) Computational Linguistics · no summary yet**Sewon Min, Hannaneh Hajishirzi, Luke Zettlemoyer*2025*