Seuraa
Sewon Min
Sewon Min
University of Washington
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.washington.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
7142020
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
242*2020
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
162*2018
Query-reduction networks for question answering
M Seo, S Min, A Farhadi, H Hajishirzi
International Conference on Learning Representations (ICLR), 2017
122*2017
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
1112019
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
1072017
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
1032019
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
1002019
Neural Speed Reading via Skim-RNN
M Seo, S Min, A Farhadi, H Hajishirzi
International Conference on Learning Representations (ICLR), 2018
73*2018
AmbigQA: Answering Ambiguous Open-domain Questions
S Min, J Michael, H Hajishirzi, L Zettlemoyer
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
652020
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
622019
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ...
Proceedings of Machine Learning Research, 2021
402021
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
402020
Question Answering is a Format; When is it Useful?
M Gardner, J Berant, H Hajishirzi, A Talmor, S Min
arXiv preprint arXiv:1909.11291, 2019
392019
Noisy channel language model prompting for few-shot text classification
S Min, M Lewis, H Hajishirzi, L Zettlemoyer
arXiv preprint arXiv:2108.04106, 2021
292021
Metaicl: Learning to learn in context
S Min, M Lewis, L Zettlemoyer, H Hajishirzi
arXiv preprint arXiv:2110.15943, 2021
242021
On making reading comprehension more comprehensive
M Gardner, J Berant, H Hajishirzi, A Talmor, S Min
Proceedings of the 2nd Workshop on Machine Reading for Question Answering …, 2019
202019
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
172022
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering
S Iyer, S Min, Y Mehdad, W Yih
Annual Conference of the North American Chapter of the Association for …, 2021
15*2021
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts
D Khashabi, S Lyu, S Min, L Qin, K Richardson, S Singh, S Welleck, ...
arXiv preprint arXiv:2112.08348, 2021
7*2021
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