Sewon Min - RankMe

97 papers A* 10Journal 55Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DS SERVE: A Framework for Efficient and Scalable Neural Retrieval. AAAI Jinjian Liu, Yichuan Wang, Xinxi Lyu, Rulin Shao, Joseph E. Gonzalez, Matei Zaharia, Sewon Min
2026	J	`jnl`	DS SERVE: A Framework for Efficient and Scalable Neural Retrieval. CoRR Jinjian Liu, Yichuan Wang, Xinxi Lyu, Rulin Shao, Joseph E. Gonzalez, Matei Zaharia, Sewon Min
2026	J	`jnl`	Learning to Detect Language Model Training Data via Active Reconstruction. CoRR Junjie Oscar Yin, John X. Morris, Vitaly Shmatikov, Sewon Min, Hannaneh Hajishirzi
2026	J	`jnl`	Residual Context Diffusion Language Models. CoRR Yuezhou Hu, Harman Singh, Monishwaran Maheswaran, Haocheng Xi, Coleman Hooper, Jintao Zhang, Aditya Tomar, Michael W. Mahoney, Sewon Min, Mehrdad Farajtabar, Kurt Keutzer, Amir Gholami, Chenfeng Xu
2026	J	`jnl`	VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents. CoRR Zirui Wang, Junyi Zhang, Jiaxin Ge, Long Lian, Letian Fu, Lisa Dunlap, Ken Goldberg, Xudong Wang, Ion Stoica, David M. Chan, Sewon Min, Joseph E. Gonzalez
2025	J	`jnl`	Constantly Improving Image Models Need Constantly Improving Benchmarks. CoRR Jiaxin Ge, Grace Luo, Heekyung Lee, Nishant Malpani, Long Lian, Xudong Wang, Aleksander Holynski, Trevor Darrell, Sewon Min, David M. Chan
2025	J	`jnl`	DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research. CoRR Rulin Shao, Akari Asai, Shannon Zejiang Shen, Hamish Ivison, Varsha Kishore, Jingming Zhuo, Xinran Zhao, Molly Park, Samuel G. Finlayson, David A. Sontag, Tyler Murray, Sewon Min, Pradeep Dasigi, Luca Soldaini, Faeze Brahman, Wen-tau Yih, Tongshuang Wu, Luke Zettlemoyer, Yoon Kim, Hannaneh Hajishirzi, Pang Wei Koh
2025	J	`jnl`	FlexOlmo: Open Language Models for Flexible Data Use. CoRR Weijia Shi, Akshita Bhagia, Kevin Farhat, Niklas Muennighoff, Pete Walsh, Jacob Morrison, Dustin Schwenk, Shayne Longpre, Jake Poznanski, Allyson Ettinger, Daogao Liu, Margaret Li, Dirk Groeneveld, Mike Lewis, Wen-tau Yih, Luca Soldaini, Kyle Lo, Noah A. Smith, Luke Zettlemoyer, Pang Wei Koh, Hannaneh Hajishirzi, Ali Farhadi, Sewon Min
2025	J	`jnl`	FrontierCS: Evolving Challenges for Evolving Intelligence. CoRR Qiuyang Mang, Wenhao Chai, Zhifei Li, Huanzhi Mao, Shang Zhou, Alexander Du, Hanchen Li, Shu Liu, Edwin Chen, Yichuan Wang, Xieting Chu, Zerui Cheng, Yuan Xu, Tian Xia, Zirui Wang, Tianneng Shi, Jianzhu Yao, Yilong Zhao, Qizheng Zhang, Charlie Ruan, Zeyu Shen, Kaiyuan Liu, Runyuan He, Dong Xing, Zerui Li, Zirong Zeng, Yige Jiang, Lufeng Cheng, Ziyi Zhao, Youran Sun, Wesley Zheng, Meiyuwang Zhang, Ruyi Ji, Xuechang Tu, Zihan Zheng, Zexing Chen, Kangyang Zhou, Zhaozi Wang, Jingbang Chen, Aleksandra Korolova, Peter Henderson, Pramod Viswanath, Vijay Ganesh, Saining Xie, Zhuang Liu, Dawn Song, Sewon Min, Ion Stoica, Joseph E. Gonzalez, Jingbo Shang, Alvin Cheung
2025	J	`jnl`	Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks. CoRR Xinxi Lyu, Michael Duan, Rulin Shao, Pang Wei Koh, Sewon Min
2025	J	`jnl`	LEANN: A Low-Storage Vector Index. CoRR Yichuan Wang, Shu Liu, Zhifei Li, Yongji Wu, Ziming Mao, Yilong Zhao, Xiao Yan, Zhiying Xu, Yang Zhou, Ion Stoica, Sewon Min, Matei Zaharia, Joseph E. Gonzalez
2025	A*	`conf`	OLMoE: Open Mixture-of-Experts Language Models. ICLR 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	—	`conf`	OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. ACL (3) 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	J	`jnl`	OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. CoRR 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, Sruthi Sreeram, 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	A*	`conf`	Organize the Web: Constructing Domains Enhances Pre-Training Data Curation. ICML Alexander Wettig, Kyle Lo, Sewon Min, Hannaneh Hajishirzi, Danqi Chen, Luca Soldaini
2025	J	`jnl`	Organize the Web: Constructing Domains Enhances Pre-Training Data Curation. CoRR Alexander Wettig, Kyle Lo, Sewon Min, Hannaneh Hajishirzi, Danqi Chen, Luca Soldaini
2025	J	`jnl`	RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks. CoRR Mian Wu, Gavin Zhang, Sewon Min, Sergey Levine, Aviral Kumar
2025	J	`jnl`	ReasonIR: Training Retrievers for Reasoning Tasks. CoRR Rulin Shao, Rui Qiao, Varsha Kishore, Niklas Muennighoff, Xi Victoria Lin, Daniela Rus, Bryan Kian Hsiang Low, Sewon Min, Wen-tau Yih, Pang Wei Koh, Luke Zettlemoyer
2025	J	`jnl`	Reasoning Models Can Be Effective Without Thinking. CoRR Wenjie Ma, Jingxuan He, Charlie Snell, Tyler Griggs, Sewon Min, Matei Zaharia
2025	J	`jnl`	Reliable Fine-Grained Evaluation of Natural Language Math Proofs. CoRR Wenjie Ma, Andrei Cojocaru, Neel Kolhe, Bradley Louie, Robin Said Sharif, Haihan Zhang, Vincent Zhuang, Matei Zaharia, Sewon Min
2025	J	`jnl`	Spurious Rewards: Rethinking Training Signals in RLVR. CoRR Rulin Shao, Shuyue Stella Li, Rui Xin, Scott Geng, Yiping Wang, Sewoong Oh, Simon Shaolei Du, Nathan Lambert, Sewon Min, Ranjay Krishna, Yulia Tsvetkov, Hannaneh Hajishirzi, Pang Wei Koh, Luke Zettlemoyer
2025	J	`jnl`	What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data. CoRR Rajiv Movva, Smitha Milli, Sewon Min, Emma Pierson
2024	A*	`conf`	BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models. ICLR Qingqing Cao, Sewon Min, Yizhong Wang, Hannaneh Hajishirzi
2024	A*	`conf`	CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. EMNLP Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh
2024	J	`jnl`	CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. CoRR Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh
2024	J	`jnl`	Do Membership Inference Attacks Work on Large Language Models? CoRR Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi
2024	A*	`conf`	In-Context Pretraining: Language Modeling Beyond Document Boundaries. ICLR Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis
2024	J	`jnl`	Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens. CoRR Jiacheng Liu, Sewon Min, Luke Zettlemoyer, Yejin Choi, Hannaneh Hajishirzi
2024	J	`jnl`	OLMoE: Open Mixture-of-Experts Language Models. CoRR 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
2024	—	`conf`	REPLUG: Retrieval-Augmented Black-Box Language Models. NAACL-HLT Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2024	—	`—`	Rethinking Data Use in Large Language Models Sewon Min
2024	A*	`conf`	SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. ICLR Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer
2024	A*	`conf`	Scaling Retrieval-Based Language Models with a Trillion-Token Datastore. NeurIPS Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh
2024	J	`jnl`	Scaling Retrieval-Based Language Models with a Trillion-Token Datastore. CoRR Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh
2023	J	`jnl`	BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models. CoRR Qingqing Cao, Sewon Min, Yizhong Wang, Hannaneh Hajishirzi
2023	—	`conf`	CREPE: Open-Domain Question Answering with False Presuppositions. ACL (1) Xinyan Yu, Sewon Min, Luke Zettlemoyer, Hannaneh Hajishirzi
2023	A*	`conf`	FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. EMNLP Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi
2023	J	`jnl`	FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. CoRR Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi
2023	J	`jnl`	In-Context Pretraining: Language Modeling Beyond Document Boundaries. CoRR Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis
2023	J	`jnl`	InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions. Trans. Assoc. Comput. Linguistics Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi
2023	—	`conf`	Measuring and Narrowing the Compositionality Gap in Language Models. EMNLP (Findings) Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis
2023	—	`conf`	Nonparametric Masked Language Modeling. ACL (Findings) Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
2023	J	`jnl`	REPLUG: Retrieval-Augmented Black-Box Language Models. CoRR Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2023	—	`conf`	Retrieval-based Language Models and Applications. ACL (tutorial) Akari Asai, Sewon Min, Zexuan Zhong, Danqi Chen
2023	J	`jnl`	SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. CoRR Sewon Min, Suchin Gururangan, Eric Wallace, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer
2023	—	`conf`	Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. ACL (1) Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun
2023	—	`conf`	Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations. ACL (1) Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi
2022	J	`jnl`	CREPE: Open-Domain Question Answering with False Presuppositions. CoRR Xinyan Velocity Yu, Sewon Min, Luke Zettlemoyer, Hannaneh Hajishirzi
2022	—	`conf`	Exploring The Landscape of Distributional Robustness for Question Answering Models. EMNLP (Findings) Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, Sewon Min, Ian Magnusson, Hannaneh Hajishirzi, Ludwig Schmidt
2022	J	`jnl`	Exploring The Landscape of Distributional Robustness for Question Answering Models. CoRR Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, Sewon Min, Ian Magnusson, Hannaneh Hajishirzi, Ludwig Schmidt
2022	—	`conf`	FaVIQ: FAct Verification from Information-seeking Questions. ACL (1) Jungsoo Park, Sewon Min, Jaewoo Kang, Luke Zettlemoyer, Hannaneh Hajishirzi
2022	J	`jnl`	INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions. CoRR Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi
2022	J	`jnl`	Measuring and Narrowing the Compositionality Gap in Language Models. CoRR Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis
2022	—	`conf`	MetaICL: Learning to Learn In Context. NAACL-HLT Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi
2022	—	`conf`	Noisy Channel Language Model Prompting for Few-Shot Text Classification. ACL (1) Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	Nonparametric Masked Language Modeling. CoRR Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	—	`ed.`	Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022 RepL4NLP@ACL Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer
2022	—	`conf`	Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. NAACL-HLT Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi
2022	—	`conf`	Re-Examining Calibration: The Case of Question Answering. EMNLP (Findings) Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber
2022	A*	`conf`	Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? CoRR Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	Revisiting Calibration for Question Answering. CoRR Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber
2022	J	`jnl`	Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. CoRR Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun
2022	J	`jnl`	Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations. CoRR Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi
2022	—	`conf`	Zero- and Few-Shot NLP with Pretrained Language Models. ACL (tutorial) Iz Beltagy, Arman Cohan, Robert L. Logan IV, Sewon Min, Sameer Singh
2021	J	`jnl`	FaVIQ: FAct Verification from Information-seeking Questions. CoRR Jungsoo Park, Sewon Min, Jaewoo Kang, Luke Zettlemoyer, Hannaneh Hajishirzi
2021	—	`conf`	Joint Passage Ranking for Diverse Multi-Answer Retrieval. EMNLP (1) Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi
2021	J	`jnl`	Joint Passage Ranking for Diverse Multi-Answer Retrieval. CoRR Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi
2021	J	`jnl`	MetaICL: Learning to Learn In Context. CoRR Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi
2021	J	`jnl`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR 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 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
2021	J	`jnl`	Noisy Channel Language Model Prompting for Few-Shot Text Classification. CoRR Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2021	J	`jnl`	PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. CoRR Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi
2021	—	`conf`	RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. NAACL-HLT Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih
2020	—	`conf`	AmbigQA: Answering Ambiguous Open-domain Questions. EMNLP (1) Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer
2020	J	`jnl`	AmbigQA: Answering Ambiguous Open-domain Questions. CoRR Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer
2020	—	`conf`	Dense Passage Retrieval for Open-Domain Question Answering. EMNLP (1) Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
2020	J	`jnl`	Dense Passage Retrieval for Open-Domain Question Answering. CoRR Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
2020	—	`conf`	Efficient One-Pass End-to-End Entity Linking for Questions. EMNLP (1) Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih
2020	J	`jnl`	Efficient One-Pass End-to-End Entity Linking for Questions. CoRR Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih
2020	—	`conf`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 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 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
2020	J	`jnl`	RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. CoRR Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih
2020	—	`conf`	UnifiedQA: Crossing Format Boundaries With a Single QA System. EMNLP (Findings) Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi
2019	—	`conf`	A Discrete Hard EM Approach for Weakly Supervised Question Answering. EMNLP/IJCNLP (1) Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer
2019	J	`jnl`	A Discrete Hard EM Approach for Weakly Supervised Question Answering. CoRR Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer
2019	—	`conf`	Compositional Questions Do Not Necessitate Multi-hop Reasoning. ACL (1) Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer
2019	J	`jnl`	Compositional Questions Do Not Necessitate Multi-hop Reasoning. CoRR Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer
2019	J	`jnl`	Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering. CoRR Sewon Min, Danqi Chen, Luke Zettlemoyer, Hannaneh Hajishirzi
2019	—	`conf`	Multi-hop Reading Comprehension through Question Decomposition and Rescoring. ACL (1) Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi
2019	J	`jnl`	Multi-hop Reading Comprehension through Question Decomposition and Rescoring. CoRR Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi
2019	—	`conf`	On Making Reading Comprehension More Comprehensive. MRQA@EMNLP Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min
2019	J	`jnl`	Question Answering is a Format; When is it Useful? CoRR Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min
2018	—	`conf`	Efficient and Robust Question Answering from Minimal Context over Documents. ACL (1) Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong
2018	J	`jnl`	Efficient and Robust Question Answering from Minimal Context over Documents. CoRR Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong
2018	—	`conf`	Neural Speed Reading via Skim-RNN. ICLR (Poster) Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
2017	J	`jnl`	Neural Speed Reading via Skim-RNN. CoRR Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
2017	—	`conf`	Query-Reduction Networks for Question Answering. ICLR (Poster) Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
2017	—	`conf`	Question Answering through Transfer Learning from Large Fine-grained Supervision Data. ACL (2) Sewon Min, Min Joon Seo, Hannaneh Hajishirzi