| 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 | 812 | 2022 |
| 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 | 610 | 2023 |
| BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs S Zhang, Y Xu, N Usuyama, H Xu, J Bagga, R Tinn, S Preston, R Rao, ... arXiv preprint arXiv:2303.00915, 2023 | 299* | 2023 |
| 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 | 286 | 2018 |
| Can generalist foundation models outcompete special-purpose tuning? case study in medicine H Nori, YT Lee, S Zhang, D Carignan, R Edgar, N Fusi, N King, J Larson, ... arXiv preprint arXiv:2311.16452, 2023 | 278 | 2023 |
| AMR parsing as sequence-to-graph transduction S Zhang, X Ma, K Duh, B Van Durme arXiv preprint arXiv:1905.08704, 2019 | 198 | 2019 |
| 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 |
| Deep generalized canonical correlation analysis A Benton, H Khayrallah, B Gujral, DA Reisinger, S Zhang, R Arora arXiv preprint arXiv:1702.02519, 2017 | 193 | 2017 |
| A whole-slide foundation model for digital pathology from real-world data H Xu, N Usuyama, J Bagga, S Zhang, R Rao, T Naumann, C Wong, ... Nature, 1-8, 2024 | 177 | 2024 |
| Ordinal common-sense inference S Zhang, R Rudinger, K Duh, B Van Durme Transactions of the Association of Computational Linguistics, 2017 | 135 | 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 | 123 | 2014 |
| UniversalNER: Targeted distillation from large language models for open named entity recognition W Zhou, S Zhang, Y Gu, M Chen, H Poon arXiv preprint arXiv:2308.03279, 2023 | 111 | 2023 |
| Context-faithful prompting for large language models W Zhou, S Zhang, H Poon, M Chen arXiv preprint arXiv:2303.11315, 2023 | 99 | 2023 |
| Broad-coverage semantic parsing as transduction S Zhang, X Ma, K Duh, B Van Durme arXiv preprint arXiv:1909.02607, 2019 | 83 | 2019 |
| Optimizing bi-encoder for named entity recognition via contrastive learning S Zhang, H Cheng, J Gao, H Poon arXiv preprint arXiv:2208.14565, 2022 | 59 | 2022 |
| 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 | 43 | 2017 |
| 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 | 43 | 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 | 41 | 2021 |
| MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding F Wang, X Fu, JY Huang, Z Li, Q Liu, X Liu, MD Ma, N Xu, W Zhou, ... arXiv preprint arXiv:2406.09411, 2024 | 33 | 2024 |
| 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 | 32 | 2019 |
Hoifung PoonGeneral Manager, Microsoft Health Futures確認したメール アドレス: microsoft.com