default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSewon Min
Person information
SPARQL queries 
🛈 Please note that only 70% of the items listed on this page have a DOI stored with their dblp record. Therefore, DOI-based queries can only provide partial results.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2026
[c40]Jinjian Liu, Yichuan Wang, Xinxi Lyu, Rulin Shao, Joseph E. Gonzalez, Matei Zaharia, Sewon Min:
DS SERVE: A Framework for Efficient and Scalable Neural Retrieval. AAAI 2026: 41631-41633- [i54]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:
VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents. CoRR abs/2601.16973 (2026) - [i53]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:
Residual Context Diffusion Language Models. CoRR abs/2601.22954 (2026) - [i52]Junjie Oscar Yin, John X. Morris, Vitaly Shmatikov, Sewon Min, Hannaneh Hajishirzi:
Learning to Detect Language Model Training Data via Active Reconstruction. CoRR abs/2602.19020 (2026) - [i51]Jinjian Liu, Yichuan Wang, Xinxi Lyu, Rulin Shao, Joseph E. Gonzalez, Matei Zaharia, Sewon Min:
DS SERVE: A Framework for Efficient and Scalable Neural Retrieval. CoRR abs/2602.22224 (2026) - 2025
- [c39]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:
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. ACL (3) 2025: 178-188 - [c38]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.:
OLMoE: Open Mixture-of-Experts Language Models. ICLR 2025 - [c37]Alexander Wettig, Kyle Lo, Sewon Min, Hannaneh Hajishirzi, Danqi Chen, Luca Soldaini:
Organize the Web: Constructing Domains Enhances Pre-Training Data Curation. ICML 2025 - [i50]Alexander Wettig, Kyle Lo, Sewon Min, Hannaneh Hajishirzi, Danqi Chen, Luca Soldaini:
Organize the Web: Constructing Domains Enhances Pre-Training Data Curation. CoRR abs/2502.10341 (2025) - [i49]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:
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. CoRR abs/2504.07096 (2025) - [i48]Wenjie Ma, Jingxuan He, Charlie Snell, Tyler Griggs, Sewon Min, Matei Zaharia:
Reasoning Models Can Be Effective Without Thinking. CoRR abs/2504.09858 (2025) - [i47]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:
ReasonIR: Training Retrievers for Reasoning Tasks. CoRR abs/2504.20595 (2025) - [i46]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:
LEANN: A Low-Storage Vector Index. CoRR abs/2506.08276 (2025) - [i45]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:
Spurious Rewards: Rethinking Training Signals in RLVR. CoRR abs/2506.10947 (2025) - [i44]Xinxi Lyu, Michael Duan, Rulin Shao, Pang Wei Koh, Sewon Min:
Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks. CoRR abs/2507.01297 (2025) - [i43]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:
FlexOlmo: Open Language Models for Flexible Data Use. CoRR abs/2507.07024 (2025) - [i42]Wenjie Ma, Andrei Cojocaru, Neel Kolhe, Bradley Louie, Robin Said Sharif, Haihan Zhang, Vincent Zhuang, Matei Zaharia, Sewon Min:
Reliable Fine-Grained Evaluation of Natural Language Math Proofs. CoRR abs/2510.13888 (2025) - [i41]Jiaxin Ge, Grace Luo, Heekyung Lee, Nishant Malpani, Long Lian, Xudong Wang, Aleksander Holynski, Trevor Darrell, Sewon Min, David M. Chan:
Constantly Improving Image Models Need Constantly Improving Benchmarks. CoRR abs/2510.15021 (2025) - [i40]Rajiv Movva, Smitha Milli, Sewon Min, Emma Pierson:
What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data. CoRR abs/2510.26202 (2025) - [i39]Mian Wu, Gavin Zhang, Sewon Min, Sergey Levine, Aviral Kumar:
RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks. CoRR abs/2511.01758 (2025) - [i38]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:
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research. CoRR abs/2511.19399 (2025) - [i37]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:
FrontierCS: Evolving Challenges for Evolving Intelligence. CoRR abs/2512.15699 (2025) - 2024
- [b1]Sewon Min:
Rethinking Data Use in Large Language Models. University of Washington, USA, 2024 - [c36]Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh:
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. EMNLP 2024: 15134-15158 - [c35]Qingqing Cao, Sewon Min, Yizhong Wang, Hannaneh Hajishirzi:
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models. ICLR 2024 - [c34]Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer:
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. ICLR 2024 - [c33]Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis:
In-Context Pretraining: Language Modeling Beyond Document Boundaries. ICLR 2024 - [c32]Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
REPLUG: Retrieval-Augmented Black-Box Language Models. NAACL-HLT 2024: 8371-8384 - [c31]Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh:
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore. NeurIPS 2024 - [i36]Jiacheng Liu, Sewon Min, Luke Zettlemoyer, Yejin Choi, Hannaneh Hajishirzi:
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens. CoRR abs/2401.17377 (2024) - [i35]Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi:
Do Membership Inference Attacks Work on Large Language Models? CoRR abs/2402.07841 (2024) - [i34]Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh:
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. CoRR abs/2407.07087 (2024) - [i33]Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh:
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore. CoRR abs/2407.12854 (2024) - [i32]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:
OLMoE: Open Mixture-of-Experts Language Models. CoRR abs/2409.02060 (2024) - 2023
- [j1]Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi:
InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions. Trans. Assoc. Comput. Linguistics 11: 453-468 (2023) - [c30]Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer:
Nonparametric Masked Language Modeling. ACL (Findings) 2023: 2097-2118 - [c29]Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi:
Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations. ACL (1) 2023: 2304-2317 - [c28]Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun:
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. ACL (1) 2023: 2717-2739 - [c27]Xinyan Yu, Sewon Min, Luke Zettlemoyer, Hannaneh Hajishirzi:
CREPE: Open-Domain Question Answering with False Presuppositions. ACL (1) 2023: 10457-10480 - [c26]Akari Asai, Sewon Min, Zexuan Zhong, Danqi Chen:
Retrieval-based Language Models and Applications. ACL (tutorial) 2023: 41-46 - [c25]Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis:
Measuring and Narrowing the Compositionality Gap in Language Models. EMNLP (Findings) 2023: 5687-5711 - [c24]Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. EMNLP 2023: 12076-12100 - [i31]Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
REPLUG: Retrieval-Augmented Black-Box Language Models. CoRR abs/2301.12652 (2023) - [i30]Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. CoRR abs/2305.14251 (2023) - [i29]Sewon Min, Suchin Gururangan, Eric Wallace, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer:
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. CoRR abs/2308.04430 (2023) - [i28]Qingqing Cao, Sewon Min, Yizhong Wang, Hannaneh Hajishirzi:
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models. CoRR abs/2310.01329 (2023) - [i27]Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis:
In-Context Pretraining: Language Modeling Beyond Document Boundaries. CoRR abs/2310.10638 (2023) - 2022
- [c23]Iz Beltagy, Arman Cohan, Robert L. Logan IV, Sewon Min, Sameer Singh:
Zero- and Few-Shot NLP with Pretrained Language Models. ACL (tutorial) 2022: 32-37 - [c22]Jungsoo Park, Sewon Min, Jaewoo Kang, Luke Zettlemoyer, Hannaneh Hajishirzi:
FaVIQ: FAct Verification from Information-seeking Questions. ACL (1) 2022: 5154-5166 - [c21]Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer:
Noisy Channel Language Model Prompting for Few-Shot Text Classification. ACL (1) 2022: 5316-5330 - [c20]Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber:
Re-Examining Calibration: The Case of Question Answering. EMNLP (Findings) 2022: 2814-2829 - [c19]Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, Sewon Min, Ian Magnusson, Hannaneh Hajishirzi, Ludwig Schmidt:
Exploring The Landscape of Distributional Robustness for Question Answering Models. EMNLP (Findings) 2022: 5971-5987 - [c18]Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer:
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022: 11048-11064 - [c17]Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi:
MetaICL: Learning to Learn In Context. NAACL-HLT 2022: 2791-2809 - [c16]Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi:
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. NAACL-HLT 2022: 3631-3643 - [e1]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:
Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-48-3 [contents] - [i26]Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer:
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? CoRR abs/2202.12837 (2022) - [i25]Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber:
Revisiting Calibration for Question Answering. CoRR abs/2205.12507 (2022) - [i24]Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi:
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions. CoRR abs/2207.00746 (2022) - [i23]Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis:
Measuring and Narrowing the Compositionality Gap in Language Models. CoRR abs/2210.03350 (2022) - [i22]Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, Sewon Min, Ian Magnusson, Hannaneh Hajishirzi, Ludwig Schmidt:
Exploring The Landscape of Distributional Robustness for Question Answering Models. CoRR abs/2210.12517 (2022) - [i21]Xinyan Velocity Yu, Sewon Min, Luke Zettlemoyer, Hannaneh Hajishirzi:
CREPE: Open-Domain Question Answering with False Presuppositions. CoRR abs/2211.17257 (2022) - [i20]Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer:
Nonparametric Masked Language Modeling. CoRR abs/2212.01349 (2022) - [i19]Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi:
Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations. CoRR abs/2212.09865 (2022) - [i18]Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun:
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. CoRR abs/2212.10001 (2022) - 2021
- [c15]Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi:
Joint Passage Ranking for Diverse Multi-Answer Retrieval. EMNLP (1) 2021: 6997-7008 - [c14]Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih:
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. NAACL-HLT 2021: 1280-1287 - [i17]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:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i16]Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi:
Joint Passage Ranking for Diverse Multi-Answer Retrieval. CoRR abs/2104.08445 (2021) - [i15]Jungsoo Park, Sewon Min, Jaewoo Kang, Luke Zettlemoyer, Hannaneh Hajishirzi:
FaVIQ: FAct Verification from Information-seeking Questions. CoRR abs/2107.02153 (2021) - [i14]Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer:
Noisy Channel Language Model Prompting for Few-Shot Text Classification. CoRR abs/2108.04106 (2021) - [i13]Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi:
MetaICL: Learning to Learn In Context. CoRR abs/2110.15943 (2021) - [i12]Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi:
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. CoRR abs/2112.08348 (2021) - 2020
- [c13]Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi:
UnifiedQA: Crossing Format Boundaries With a Single QA System. EMNLP (Findings) 2020: 1896-1907 - [c12]Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer:
AmbigQA: Answering Ambiguous Open-domain Questions. EMNLP (1) 2020: 5783-5797 - [c11]Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih:
Efficient One-Pass End-to-End Entity Linking for Questions. EMNLP (1) 2020: 6433-6441 - [c10]Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih:
Dense Passage Retrieval for Open-Domain Question Answering. EMNLP (1) 2020: 6769-6781 - [c9]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:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [i11]Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih:
Dense Passage Retrieval for Open-Domain Question Answering. CoRR abs/2004.04906 (2020) - [i10]Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer:
AmbigQA: Answering Ambiguous Open-domain Questions. CoRR abs/2004.10645 (2020) - [i9]Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih:
Efficient One-Pass End-to-End Entity Linking for Questions. CoRR abs/2010.02413 (2020) - [i8]Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih:
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. CoRR abs/2010.10757 (2020)
2010 – 2019
- 2019
- [c8]Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer:
Compositional Questions Do Not Necessitate Multi-hop Reasoning. ACL (1) 2019: 4249-4257 - [c7]Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi:
Multi-hop Reading Comprehension through Question Decomposition and Rescoring. ACL (1) 2019: 6097-6109 - [c6]Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min:
On Making Reading Comprehension More Comprehensive. MRQA@EMNLP 2019: 105-112 - [c5]Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer:
A Discrete Hard EM Approach for Weakly Supervised Question Answering. EMNLP/IJCNLP (1) 2019: 2851-2864 - [i7]Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer:
Compositional Questions Do Not Necessitate Multi-hop Reasoning. CoRR abs/1906.02900 (2019) - [i6]Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi:
Multi-hop Reading Comprehension through Question Decomposition and Rescoring. CoRR abs/1906.02916 (2019) - [i5]Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer:
A Discrete Hard EM Approach for Weakly Supervised Question Answering. CoRR abs/1909.04849 (2019) - [i4]Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min:
Question Answering is a Format; When is it Useful? CoRR abs/1909.11291 (2019) - [i3]Sewon Min, Danqi Chen, Luke Zettlemoyer, Hannaneh Hajishirzi:
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering. CoRR abs/1911.03868 (2019) - 2018
- [c4]Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong:
Efficient and Robust Question Answering from Minimal Context over Documents. ACL (1) 2018: 1725-1735 - [c3]Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi:
Neural Speed Reading via Skim-RNN. ICLR (Poster) 2018 - [i2]Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong:
Efficient and Robust Question Answering from Minimal Context over Documents. CoRR abs/1805.08092 (2018) - 2017
- [c2]Sewon Min, Min Joon Seo, Hannaneh Hajishirzi:
Question Answering through Transfer Learning from Large Fine-grained Supervision Data. ACL (2) 2017: 510-517 - [c1]Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi:
Query-Reduction Networks for Question Answering. ICLR (Poster) 2017 - [i1]Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi:
Neural Speed Reading via Skim-RNN. CoRR abs/1711.02085 (2017)
Coauthor Index
[i52] [c39] [c37] [i50] [i49] [i45] [i43] [i38] [c36] [c35] [c34] [i36] [i35] [i34] [i32] [j1] [c30] [c29] [c27] [c24] [i30] [i29] [i28] [c22] [c21] [c19] [c18] [c17] [c16] [i26] [i24] [i22] [i21] [i20] [i19] [c15] [i17] [i16] [i15] [i14] [i13] [i12] [c13] [c12] [c9] [i10] [c8] [c7] [c6] [c5] [i7] [i6] [i5] [i4] [i3] [c3] [c2] [c1] [i1]
Scott Yih
aka: Wen-tau Yih
aka: Wen-tau Yih
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-03-31 00:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
