| 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 | 1412 | 2020 |
| 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 | 422* | 2020 |
| 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 | 192 | 2022 |
| 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 | 166 | 2019 |
| 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 | 158 | 2018 |
| 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 | 140 | 2019 |
| Query-reduction networks for question answering M Seo, S Min, A Farhadi, H Hajishirzi International Conference on Learning Representations (ICLR), 2017 | 128* | 2017 |
| 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 | 127 | 2019 |
| 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 | 123 | 2017 |
| AmbigQA: Answering Ambiguous Open-domain Questions S Min, J Michael, H Hajishirzi, L Zettlemoyer Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 | 110 | 2020 |
| Metaicl: Learning to learn in context S Min, M Lewis, L Zettlemoyer, H Hajishirzi arXiv preprint arXiv:2110.15943, 2021 | 95 | 2021 |
| 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 | 84 | 2019 |
| Noisy channel language model prompting for few-shot text classification S Min, M Lewis, H Hajishirzi, L Zettlemoyer arXiv preprint arXiv:2108.04106, 2021 | 83 | 2021 |
| Neural Speed Reading via Skim-RNN M Seo, S Min, A Farhadi, H Hajishirzi International Conference on Learning Representations (ICLR), 2018 | 83* | 2018 |
| 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 | 73 | 2020 |
| 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 | 55* | 2022 |
| 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 | 54 | 2021 |
| 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 | 46 | 2019 |
| 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 | 24* | 2021 |
| 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 | 23 | 2019 |
Hannaneh HajishirziUniversity of Washington; Allen AIBestätigte E-Mail-Adresse bei cs.washington.edu
