Sewon Min
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
6
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | DS SERVE: A Framework for Efficient and Scalable Neural Retrieval. | Jinjian Liu, Yichuan Wang, Xinxi Lyu, Rulin Shao, Joseph E. Gonzalez, Matei Zaharia, Sewon Min |
| 2025 | ACL | OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. | Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Yu-Yen Cheng, Karen Farley, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge |
| 2025 | ICLR | OLMoE: Open Mixture-of-Experts Language Models. | Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Evan Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, et al. |
| 2025 | ICML | Organize the Web: Constructing Domains Enhances Pre-Training Data Curation. | Alexander Wettig, Kyle Lo, Sewon Min, Hannaneh Hajishirzi, Danqi Chen, Luca Soldaini |
| 2024 | EMNLP | CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. | Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh |
| 2024 | ICLR | BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models. | Qingqing Cao, Sewon Min, Yizhong Wang, Hannaneh Hajishirzi |
| 2024 | ICLR | SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. | Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer |
| 2024 | ICLR | In-Context Pretraining: Language Modeling Beyond Document Boundaries. | Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis |
| 2024 | NAACL | REPLUG: Retrieval-Augmented Black-Box Language Models. | Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih |
| 2023 | ACL | CREPE: Open-Domain Question Answering with False Presuppositions. | Xinyan Yu, Sewon Min, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | ACL | Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations. | Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | ACL | Nonparametric Masked Language Modeling. | Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2023 | ACL | Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. | Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun |
| 2023 | EMNLP | FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. | Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | EMNLP | Measuring and Narrowing the Compositionality Gap in Language Models. | Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis |
| 2022 | ACL | Zero- and Few-Shot NLP with Pretrained Language Models. | Iz Beltagy, Arman Cohan, Robert L. Logan IV, Sewon Min, Sameer Singh |
| 2022 | ACL | Noisy Channel Language Model Prompting for Few-Shot Text Classification. | Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2022 | ACL | FaVIQ: FAct Verification from Information-seeking Questions. | Jungsoo Park, Sewon Min, Jaewoo Kang, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2022 | EMNLP | Exploring The Landscape of Distributional Robustness for Question Answering Models. | Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, Sewon Min, Ian Magnusson, Hannaneh Hajishirzi, Ludwig Schmidt |
| 2022 | EMNLP | Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? | Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2022 | EMNLP | Re-Examining Calibration: The Case of Question Answering. | Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber |
| 2022 | NAACL | Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. | Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi |
| 2022 | NAACL | MetaICL: Learning to Learn In Context. | Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2021 | EMNLP | Joint Passage Ranking for Diverse Multi-Answer Retrieval. | Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi |
| 2021 | NAACL | RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. | Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih |
| 2020 | EMNLP | Dense Passage Retrieval for Open-Domain Question Answering. | Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih |
| 2020 | EMNLP | UnifiedQA: Crossing Format Boundaries With a Single QA System. | Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi |
| 2020 | EMNLP | Efficient One-Pass End-to-End Entity Linking for Questions. | Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih |
| 2020 | EMNLP | AmbigQA: Answering Ambiguous Open-domain Questions. | Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2019 | ACL | Compositional Questions Do Not Necessitate Multi-hop Reasoning. | Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2019 | ACL | Multi-hop Reading Comprehension through Question Decomposition and Rescoring. | Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2019 | EMNLP | A Discrete Hard EM Approach for Weakly Supervised Question Answering. | Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2018 | ACL | Efficient and Robust Question Answering from Minimal Context over Documents. | Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong |
| 2018 | ICLR | Neural Speed Reading via Skim-RNN. | Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi |
| 2017 | ACL | Question Answering through Transfer Learning from Large Fine-grained Supervision Data. | Sewon Min, Min Joon Seo, Hannaneh Hajishirzi |
| 2017 | ICLR | Query-Reduction Networks for Question Answering. | Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi |