| WinoGrande: An Adversarial Winograd Schema Challenge at Scale K Sakaguchi, R Le Bras, C Bhagavatula, Y Choi Communications of the ACM 64 (9), 99-106, 2021 | 1712 | 2021 |
| (comet-) atomic 2020: On symbolic and neural commonsense knowledge graphs JD Hwang, C Bhagavatula, R Le Bras, J Da, K Sakaguchi, A Bosselut, ... Proceedings of the AAAI conference on artificial intelligence 35 (7), 6384-6392, 2021 | 455 | 2021 |
| Abductive commonsense reasoning C Bhagavatula, RL Bras, C Malaviya, K Sakaguchi, A Holtzman, ... arXiv preprint arXiv:1908.05739, 2019 | 453 | 2019 |
| Ground Truth for Grammatical Error Correction Metrics C Napoles, K Sakaguchi, M Post, J Tetreault Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 258 | 2015 |
| JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction C Napoles, K Sakaguchi, J Tetreault Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 253 | 2017 |
| Investigating machine moral judgement through the Delphi experiment L Jiang, JD Hwang, C Bhagavatula, RL Bras, JT Liang, S Levine, J Dodge, ... Nature Machine Intelligence, 1-16, 2025 | 236* | 2025 |
| Universal Decompositional Semantics on Universal Dependencies AS White, D Reisinger, K Sakaguchi, T Vieira, S Zhang, R Rudinger, ... Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 194 | 2016 |
| RealTime QA: What's the Answer Right Now? J Kasai, K Sakaguchi, R Le Bras, A Asai, X Yu, D Radev, NA Smith, ... Advances in Neural Information Processing Systems 36, 2023 | 122 | 2023 |
| Robsut wrod reocginiton via semi-character recurrent neural network K Sakaguchi, K Duh, M Post, B Van Durme Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 106 | 2017 |
| Wiqa: A dataset for" what if..." reasoning over procedural text N Tandon, BD Mishra, K Sakaguchi, A Bosselut, P Clark arXiv preprint arXiv:1909.04739, 2019 | 100 | 2019 |
| Evaluating gpt-4 and chatgpt on japanese medical licensing examinations J Kasai, Y Kasai, K Sakaguchi, Y Yamada, D Radev arXiv preprint arXiv:2303.18027, 2023 | 96 | 2023 |
| Efficient elicitation of annotations for human evaluation of machine translation K Sakaguchi, M Post, B Van Durme Proceedings of the Ninth Workshop on Statistical Machine Translation, 1-11, 2014 | 94 | 2014 |
| Uncertain natural language inference T Chen, Z Jiang, A Poliak, K Sakaguchi, B Van Durme arXiv preprint arXiv:1909.03042, 2019 | 93 | 2019 |
| Reassessing the goals of grammatical error correction: Fluency instead of grammaticality K Sakaguchi, C Napoles, M Post, J Tetreault Transactions of the Association for Computational Linguistics 4, 169-182, 2016 | 92 | 2016 |
| Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners K Sakaguchi, Y Arase, M Komachi Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 87 | 2013 |
| Effective Feature Integration for Automated Short Answer Scoring. K Sakaguchi, M Heilman, N Madnani Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 81 | 2015 |
| Grammatical Error Correction with Neural Reinforcement Learning K Sakaguchi, M Post, B Van Durme Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 73 | 2017 |
| proScript: Partially Ordered Scripts Generation K Sakaguchi, C Bhagavatula, RL Bras, N Tandon, P Clark, Y Choi Findings of the Association for Computational Linguistics: EMNLP 2021, 2138 …, 2021 | 68* | 2021 |
| There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction C Napoles, K Sakaguchi, J Tetreault Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 68 | 2016 |
| Analyzing the performance of gpt-3.5 and gpt-4 in grammatical error correction S Coyne, K Sakaguchi, D Galvan-Sosa, M Zock, K Inui arXiv preprint arXiv:2303.14342, 2023 | 62 | 2023 |
Yejin ChoiStanford University / NVIDIAVerified email at stanford.edu
