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Sewon Min
Sewon Min
University of Washington
Bestätigte E-Mail-Adresse bei cs.washington.edu - Startseite
Titel
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Zitiert von
Jahr
Dense Passage Retrieval for Open-Domain Question Answering
V Karpukhin, B Oğuz, S Min, L Wu, S Edunov, D Chen, W Yih
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
30542020
Rethinking the role of demonstrations: What makes in-context learning work?
S Min, X Lyu, A Holtzman, M Artetxe, M Lewis, H Hajishirzi, L Zettlemoyer
arXiv preprint arXiv:2202.12837, 2022
10282022
Unifiedqa: Crossing format boundaries with a single qa system
D Khashabi, S Min, T Khot, A Sabharwal, O Tafjord, P Clark, H Hajishirzi
Findings of Empirical Methods in Natural Language Processing (EMNLP), 2020
679*2020
Replug: Retrieval-augmented black-box language models
W Shi, S Min, M Yasunaga, M Seo, R James, M Lewis, L Zettlemoyer, ...
arXiv preprint arXiv:2301.12652, 2023
377*2023
Metaicl: Learning to learn in context
S Min, M Lewis, L Zettlemoyer, H Hajishirzi
arXiv preprint arXiv:2110.15943, 2021
3662021
Measuring and narrowing the compositionality gap in language models
O Press, M Zhang, S Min, L Schmidt, NA Smith, M Lewis
arXiv preprint arXiv:2210.03350, 2022
349*2022
Factscore: Fine-grained atomic evaluation of factual precision in long form text generation
S Min, K Krishna, X Lyu, M Lewis, W Yih, PW Koh, M Iyyer, L Zettlemoyer, ...
arXiv preprint arXiv:2305.14251, 2023
2942023
Efficient and Robust Question Answering from Minimal Context over Documents
S Min, V Zhong, R Socher, C Xiong
Annual Meeting of the Association for Computational Linguistics (ACL), 2018
260*2018
Multi-hop Reading Comprehension through Question Decomposition and Rescoring
S Min, V Zhong, L Zettlemoyer, H Hajishirzi
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
2492019
AmbigQA: Answering Ambiguous Open-domain Questions
S Min, J Michael, H Hajishirzi, L Zettlemoyer
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
2332020
Noisy channel language model prompting for few-shot text classification
S Min, M Lewis, H Hajishirzi, L Zettlemoyer
arXiv preprint arXiv:2108.04106, 2021
1912021
A Discrete Hard EM Approach for Weakly Supervised Question Answering
S Min, D Chen, H Hajishirzi, L Zettlemoyer
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
1712019
Compositional Questions Do Not Necessitate Multi-hop Reasoning
S Min, E Wallace, S Singh, M Gardner, H Hajishirzi, L Zettlemoyer
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
1502019
Towards understanding chain-of-thought prompting: An empirical study of what matters
B Wang, S Min, X Deng, J Shen, Y Wu, L Zettlemoyer, H Sun
arXiv preprint arXiv:2212.10001, 2022
149*2022
Question Answering through Transfer Learning from Large Fine-grained Supervision Data
S Min, M Seo, H Hajishirzi
Annual Meeting of the Association for Computational Linguistics (ACL), 2017
1402017
Query-reduction networks for question answering
M Seo, S Min, A Farhadi, H Hajishirzi
International Conference on Learning Representations (ICLR), 2017
137*2017
Efficient One-Pass End-to-End Entity Linking for Questions
BZ Li, S Min, S Iyer, Y Mehdad, W Yih
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
1312020
Knowledge guided text retrieval and reading for open domain question answering
S Min, D Chen, L Zettlemoyer, H Hajishirzi
arXiv preprint arXiv:1911.03868, 2019
1102019
Neural Speed Reading via Skim-RNN
M Seo, S Min, A Farhadi, H Hajishirzi
International Conference on Learning Representations (ICLR), 2018
108*2018
Retrieval-based language models and applications
A Asai, S Min, Z Zhong, D Chen
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
86*2023
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