| BioGPT: generative pre-trained transformer for biomedical text generation and mining R Luo, L Sun, Y Xia, T Qin, S Zhang, H Poon, TY Liu Briefings in Bioinformatics 23 (6), bbac409, 2022 | 247 | 2022 |
| ReCoRD: Bridging the gap between human and machine commonsense reading comprehension S Zhang, X Liu, J Liu, J Gao, K Duh, B Van Durme arXiv preprint arXiv:1810.12885, 2018 | 215 | 2018 |
| 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 | 173 | 2016 |
| AMR parsing as sequence-to-graph transduction S Zhang, X Ma, K Duh, B Van Durme arXiv preprint arXiv:1905.08704, 2019 | 171 | 2019 |
| Deep generalized canonical correlation analysis A Benton, H Khayrallah, B Gujral, DA Reisinger, S Zhang, R Arora arXiv preprint arXiv:1702.02519, 2017 | 157 | 2017 |
| Ordinal common-sense inference S Zhang, R Rudinger, K Duh, B Van Durme Transactions of the Association of Computational Linguistics, 2017 | 118 | 2017 |
| Answering natural language questions via phrasal semantic parsing K Xu, S Zhang, Y Feng, D Zhao CCF International Conference on Natural Language Processing and Chinese …, 2014 | 117 | 2014 |
| Broad-coverage semantic parsing as transduction S Zhang, X Ma, K Duh, B Van Durme arXiv preprint arXiv:1909.02607, 2019 | 74 | 2019 |
| LLaVA-Med: Training a large language-and-vision assistant for biomedicine in one day C Li, C Wong, S Zhang, N Usuyama, H Liu, J Yang, T Naumann, H Poon, ... arXiv preprint arXiv:2306.00890, 2023 | 48 | 2023 |
| Large-scale domain-specific pretraining for biomedical vision-language processing S Zhang, Y Xu, N Usuyama, J Bagga, R Tinn, S Preston, R Rao, M Wei, ... arXiv preprint arXiv:2303.00915, 2023 | 40 | 2023 |
| An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling S Zhang, R Rudinger, B Van Durme IWCS 2017—12th International Conference on Computational Semantics—Short …, 2017 | 40 | 2017 |
| MT/IE: Cross-lingual open information extraction with neural sequence-to-sequence models S Zhang, K Duh, B Van Durme Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 36 | 2017 |
| Knowledge-rich self-supervision for biomedical entity linking S Zhang, H Cheng, S Vashishth, C Wong, J Xiao, X Liu, T Naumann, ... arXiv preprint arXiv:2112.07887, 2021 | 28 | 2021 |
| Neural-Davidsonian semantic proto-role labeling R Rudinger, A Teichert, R Culkin, S Zhang, B Van Durme arXiv preprint arXiv:1804.07976, 2018 | 26 | 2018 |
| Cross-lingual decompositional semantic parsing S Zhang, X Ma, R Rudinger, K Duh, B Van Durme Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 25 | 2018 |
| The universal decompositional semantics dataset and decomp toolkit AS White, E Stengel-Eskin, S Vashishtha, V Govindarajan, DA Reisinger, ... arXiv preprint arXiv:1909.13851, 2019 | 23 | 2019 |
| Context-faithful prompting for large language models W Zhou, S Zhang, H Poon, M Chen arXiv preprint arXiv:2303.11315, 2023 | 17 | 2023 |
| Unsupervised deep structured semantic models for commonsense reasoning S Wang, S Zhang, Y Shen, X Liu, J Liu, J Gao, J Jiang arXiv preprint arXiv:1904.01938, 2019 | 17 | 2019 |
| Fine-grained entity typing through increased discourse context and adaptive classification thresholds S Zhang, K Duh, B Van Durme arXiv preprint arXiv:1804.08000, 2018 | 17 | 2018 |
| Universal Decompositional Semantic Parsing E Stengel-Eskin, AS White, S Zhang, B Van Durme Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 16* | 2020 |
Benjamin Van DurmeJohns Hopkins University; Microsoft Semantic MachinesVerified email at cs.jhu.edu
