| Using virtual standardized patients to accurately assess information gathering skills in medical students KR Maicher, L Zimmerman, B Wilcox, B Liston, H Cronau, A Macerollo, ... Medical teacher 41 (9), 1053-1059, 2019 | 48 | 2019 |
| 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 |
| Relation extraction exploiting full dependency forests L Jin, L Song, Y Zhang, K Xu, W Ma, D Yu Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8034-8041, 2020 | 38 | 2020 |
| Salience allocation as guidance for abstractive summarization F Wang, K Song, H Zhang, L Jin, S Cho, W Yao, X Wang, M Chen, D Yu arXiv preprint arXiv:2210.12330, 2022 | 33 | 2022 |
| Video-aided unsupervised grammar induction S Zhang, L Song, L Jin, K Xu, D Yu, J Luo arXiv preprint arXiv:2104.04369, 2021 | 33 | 2021 |
| Unsupervised learning of PCFGs with normalizing flow L Jin, F Doshi-Velez, T Miller, L Schwartz, W Schuler Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 33 | 2019 |
| Unsupervised grammar induction with depth-bounded PCFG L Jin, F Doshi-Velez, T Miller, W Schuler, L Schwartz Transactions of the Association for Computational Linguistics 6, 211-224, 2018 | 33 | 2018 |
| Combining cnns and pattern matching for question interpretation in a virtual patient dialogue system L Jin, M White, E Jaffe, L Zimmerman, D Danforth Proceedings of the 12th Workshop on Innovative Use of NLP for Building …, 2017 | 31 | 2017 |
| Self-alignment for factuality: Mitigating hallucinations in llms via self-evaluation X Zhang, B Peng, Y Tian, J Zhou, L Jin, L Song, H Mi, H Meng arXiv preprint arXiv:2402.09267, 2024 | 26 | 2024 |
| Domain-adaptive pretraining methods for dialogue understanding H Wu, K Xu, L Song, L Jin, H Zhang, L Song arXiv preprint arXiv:2105.13665, 2021 | 25 | 2021 |
| Unified Mobile Learning Platform EH Fang, F Ling, S Fan, L Jin, S Zhang US Patent App. 14/462,692, 2015 | 25 | 2015 |
| The trickle-down impact of reward (in-) consistency on rlhf L Shen, S Chen, L Song, L Jin, B Peng, H Mi, D Khashabi, D Yu arXiv preprint arXiv:2309.16155, 2023 | 19 | 2023 |
| A Comparison of Word Similarity Performance Using Explanatory and Non-explanatory Texts L Jin, W Schuler Conference of the North American Chapter of the Association for …, 2015 | 19 | 2015 |
| Grounded PCFG induction with images L Jin, W Schuler Proceedings of the 1st conference of the asia-pacific chapter of the …, 2020 | 18 | 2020 |
| Modeling morphological learning, typology, and change: What can the neural sequence-to-sequence framework contribute? M Elsner, AD Sims, A Erdmann, A Hernandez, E Jaffe, L Jin, ... Journal of Language Modelling 7 (1), 53-98, 2019 | 18 | 2019 |
| Stabilizing RLHF through advantage model and selective rehearsal B Peng, L Song, Y Tian, L Jin, H Mi, D Yu arXiv preprint arXiv:2309.10202, 2023 | 17 | 2023 |
| Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction L Jin, F Doshi-Velez, T Miller, W Schuler, L Schwartz arXiv preprint arXiv:1809.03112, 2018 | 17 | 2018 |
| Hierarchical context tagging for utterance rewriting L Jin, L Song, L Jin, D Yu, D Gildea Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10849 …, 2022 | 16 | 2022 |
| Using paraphrasing and memory-augmented models to combat data sparsity in question interpretation with a virtual patient dialogue system L Jin, D King, A Hussein, M White, D Danforth Proceedings of the thirteenth workshop on innovative use of NLP for building …, 2018 | 15 | 2018 |
| Memory-bounded neural incremental parsing for psycholinguistic prediction L Jin, W Schuler Proceedings of the 16th International Conference on Parsing Technologies and …, 2020 | 12 | 2020 |
Dong Yu (俞栋)Distinguished Scientist @ Tencent AI Lab, ACM/IEEE/ISCA FellowVerified email at global.tencent.com