| Retrieval-augmented generation for knowledge-intensive NLP tasks P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... arXiv preprint arXiv:2005.11401, 2020 | 14964 | 2020 |
| Linguistic regularities in continuous space word representations T Mikolov, W Yih, G Zweig Proceedings of the 2013 conference of the north american chapter of the …, 2013 | 5781 | 2013 |
| Dense Passage Retrieval for Open-Domain Question Answering. V Karpukhin, B Oguz, S Min, PSH Lewis, L Wu, S Edunov, D Chen, W Yih EMNLP (1), 6769-6781, 2020 | 5724 | 2020 |
| Embedding entities and relations for learning and inference in knowledge bases B Yang, W Yih, X He, J Gao, L Deng Proceedings of the 3rd International Conference on Learning Representations …, 2015 | 4935 | 2015 |
| WikiQA: A challenge dataset for open-domain question answering Y Yang, W Yih, C Meek Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 1203 | 2015 |
| QuAC: Question answering in context E Choi, H He, M Iyyer, M Yatskar, W Yih, Y Choi, P Liang, L Zettlemoyer Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 1101 | 2018 |
| Factscore: Fine-grained atomic evaluation of factual precision in long form text generation S Min, K Krishna, X Lyu, M Lewis, W Yih, P Koh, M Iyyer, L Zettlemoyer, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 997 | 2023 |
| Semantic parsing via staged query graph generation: Question answering with knowledge base W Yih, MW Chang, X He, J Gao Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 982 | 2015 |
| Replug: Retrieval-augmented black-box language models W Shi, S Min, M Yasunaga, M Seo, R James, M Lewis, L Zettlemoyer, ... Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 931* | 2024 |
| Incoder: A generative model for code infilling and synthesis D Fried, A Aghajanyan, J Lin, S Wang, E Wallace, F Shi, R Zhong, W Yih, ... arXiv preprint arXiv:2204.05999, 2022 | 910 | 2022 |
| TaBERT: Pretraining for joint understanding of textual and tabular data P Yin, G Neubig, W Yih, S Riedel arXiv preprint arXiv:2005.08314, 2020 | 827 | 2020 |
| The value of semantic parse labeling for knowledge base question answering W Yih, M Richardson, C Meek, MW Chang, J Suh Proceedings of ACL, 2016 | 723 | 2016 |
| A knowledge-grounded neural conversation model M Ghazvininejad, C Brockett, MW Chang, B Dolan, J Gao, W Yih, ... The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 714 | 2018 |
| A linear programming formulation for global inference in natural language tasks D Roth, W Yih Proceedings of the Eighth Conference on Computational Natural Language …, 2004 | 697 | 2004 |
| Cross-Sentence N-ary Relation Extraction with Graph LSTMs N Peng, H Poon, C Quirk, K Toutanova, W Yih Transactions of the Association for Computational Linguistics 5, 101-115, 2017 | 669 | 2017 |
| Chameleon: Mixed-modal early-fusion foundation models C Team arXiv preprint arXiv:2405.09818, 2024 | 653 | 2024 |
| Dissecting contextual word embeddings: Architecture and representation ME Peters, M Neumann, L Zettlemoyer, W Yih arXiv preprint arXiv:1808.08949, 2018 | 599 | 2018 |
| The importance of syntactic parsing and inference in semantic role labeling V Punyakanok, D Roth, W Yih Computational linguistics 34 (2), 257-287, 2008 | 570 | 2008 |
| Semantic parsing for single-relation question answering W Yih, X He, C Meek Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 541 | 2014 |
| Abductive commonsense reasoning C Bhagavatula, RL Bras, C Malaviya, K Sakaguchi, A Holtzman, ... arXiv preprint arXiv:1908.05739, 2019 | 525 | 2019 |
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