| CLUE: A Chinese Language Understanding Evaluation Benchmark L Xu, X Zhang, L Li, H Hu, C Cao, W Liu, J Li, Y Li, K Sun, Y Xu, Y Cui, ... COLING 2020, 2020 | 374 | 2020 |
| DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension K Sun, D Yu, J Chen, D Yu, Y Choi, C Cardie Transactions of the Association for Computational Linguistics (TACL 2019), 2019 | 328 | 2019 |
| Document-level machine translation with large language models L Wang, C Lyu, T Ji, Z Zhang, D Yu, S Shi, Z Tu arXiv preprint arXiv:2304.02210, 2023 | 179 | 2023 |
| Dialogue-Based Relation Extraction D Yu, K Sun, C Cardie, D Yu ACL 2020, 2020 | 156 | 2020 |
| Improving Machine Reading Comprehension with General Reading Strategies K Sun, D Yu, D Yu, C Cardie NAACL-HLT 2019, 2018 | 136 | 2018 |
| Investigating prior knowledge for challenging chinese machine reading comprehension K Sun, D Yu, D Yu, C Cardie Transactions of the Association for Computational Linguistics 8, 141-155, 2020 | 123 | 2020 |
| The wisdom of minority: Unsupervised slot filling validation based on multi-dimensional truth-finding D Yu, H Huang, T Cassidy, H Ji, C Wang, S Zhi, J Han, C Voss, ... Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 97 | 2014 |
| Modeling Truth Existence in Truth Discovery S Zhi, B Zhao, W Tong, J Gao, D Yu, H Ji, J Han the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2015), 2015 | 77 | 2015 |
| Improving Question Answering with External Knowledge X Pan, K Sun, D Yu, J Chen, H Ji, C Cardie, D Yu Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 27-37, 2019 | 74 | 2019 |
| Scaling synthetic data creation with 1,000,000,000 personas T Ge, X Chan, X Wang, D Yu, H Mi, D Yu arXiv preprint arXiv:2406.20094, 2024 | 63 | 2024 |
| Evidence sentence extraction for machine reading comprehension H Wang, D Yu, K Sun, J Chen, D Yu, D McAllester, D Roth CoNLL 2019, 2019 | 61 | 2019 |
| Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension H Gong, Y Shen, D Yu, J Chen, D Yu ACL 2020, 2020 | 54 | 2020 |
| Toward self-improvement of llms via imagination, searching, and criticizing Y Tian, B Peng, L Song, L Jin, D Yu, L Han, H Mi, D Yu Advances in Neural Information Processing Systems 37, 52723-52748, 2024 | 43 | 2024 |
| MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization Y Cao, X Wan, J Yao, D Yu AAAI 2020, 2020 | 43 | 2020 |
| Improving Pre-Trained Multilingual Models with Vocabulary Expansion H Wang, D Yu, K Sun, J Chen, D Yu CoNLL 2019, 2019 | 41 | 2019 |
| Open Relation Extraction and Grounding D Yu, L Huang, H Ji Proc. the 8th International Joint Conference on Natural Language Processing …, 2017 | 32 | 2017 |
| Resolving entity morphs in censored data H Huang, Z Wen, D Yu, H Ji, Y Sun, J Han, H Li Proc. the 51st Annual Meeting of the Association for Computational …, 2013 | 30 | 2013 |
| RPI_BLENDER TAC-KBP2015 System Description Y Hong, D Lu, D Yu, X Pan, X Wang, T Wang, T Zhang, X Feng, H Ji Proc. Text Analysis Conference (TAC2015), 2015 | 28 | 2015 |
| Do not think that much for 2+ 3=? on the overthinking of o1-like llms X Chen, J Xu, T Liang, Z He, J Pang, D Yu, L Song, Q Liu, M Zhou, ... arXiv preprint arXiv:2412.21187, 2024 | 27 | 2024 |
| Skills-in-context prompting: Unlocking compositionality in large language models J Chen, X Pan, D Yu, K Song, X Wang, D Yu, J Chen arXiv preprint arXiv:2308.00304, 2023 | 26 | 2023 |
Kai SunFacebook, Cornell UniversityZweryfikowany adres z fb.com