Sewon Min

According to our database, Sewon Min authored at least 47 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

OLMoE: Open Mixture-of-Experts Language Models.

Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, 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, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi

CoRR, 2024

Scaling Retrieval-Based Language Models with a Trillion-Token Datastore.

Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh

CoRR, 2024

Do Membership Inference Attacks Work on Large Language Models?

Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi

CoRR, 2024

Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens.

Jiacheng Liu, Sewon Min, Luke Zettlemoyer, Yejin Choi, Hannaneh Hajishirzi

CoRR, 2024

REPLUG: Retrieval-Augmented Black-Box Language Models.

Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models.

Qingqing Cao, Sewon Min, Yizhong Wang, Hannaneh Hajishirzi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions.

Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi

Trans. Assoc. Comput. Linguistics, 2023

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore.

Sewon Min, Suchin Gururangan, Eric Wallace, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer

CoRR, 2023

Measuring and Narrowing the Compositionality Gap in Language Models.

Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Retrieval-based Language Models and Applications.

Akari Asai, Sewon Min, Zexuan Zhong, Danqi Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Nonparametric Masked Language Modeling.

Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations.

Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

CREPE: Open-Domain Question Answering with False Presuppositions.

Xinyan Yu, Sewon Min, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Revisiting Calibration for Question Answering.

Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber

CoRR, 2022

MetaICL: Learning to Learn In Context.

Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Re-Examining Calibration: The Case of Question Answering.

Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Exploring The Landscape of Distributional Robustness for Question Answering Models.

Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, Sewon Min, Ian Magnusson, Hannaneh Hajishirzi, Ludwig Schmidt

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

FaVIQ: FAct Verification from Information-seeking Questions.

Jungsoo Park, Sewon Min, Jaewoo Kang, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Noisy Channel Language Model Prompting for Few-Shot Text Classification.

Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Zero- and Few-Shot NLP with Pretrained Language Models.

Iz Beltagy, Arman Cohan, Robert L. Logan IV, Sewon Min, Sameer Singh

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts.

Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi

CoRR, 2021

RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering.

Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Joint Passage Ranking for Diverse Multi-Answer Retrieval.

Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering.

Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih

CoRR, 2020

Dense Passage Retrieval for Open-Domain Question Answering.

Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih

CoRR, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

AmbigQA: Answering Ambiguous Open-domain Questions.

Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Efficient One-Pass End-to-End Entity Linking for Questions.

Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

UnifiedQA: Crossing Format Boundaries With a Single QA System.

Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Dense Passage Retrieval for Open-Domain Question Answering.

Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering.

Sewon Min, Danqi Chen, Luke Zettlemoyer, Hannaneh Hajishirzi

CoRR, 2019

Question Answering is a Format; When is it Useful?

Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min

CoRR, 2019

A Discrete Hard EM Approach for Weakly Supervised Question Answering.

Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multi-hop Reading Comprehension through Question Decomposition and Rescoring.

Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Compositional Questions Do Not Necessitate Multi-hop Reasoning.

Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

On Making Reading Comprehension More Comprehensive.

Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Neural Speed Reading via Skim-RNN.

Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi

Proceedings of the 6th International Conference on Learning Representations, 2018

Efficient and Robust Question Answering from Minimal Context over Documents.

Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Query-Reduction Networks for Question Answering.

Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi

Proceedings of the 5th International Conference on Learning Representations, 2017

Question Answering through Transfer Learning from Large Fine-grained Supervision Data.

Sewon Min, Min Joon Seo, Hannaneh Hajishirzi

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017