| 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 | 1584 | 2023 |
| 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 | 1496 | 2022 |
| 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 630 (8015), 181-188, 2024 | 748 | 2024 |
| 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 | 550 | 2023 |
| 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 | 535 | 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 | 318 | 2018 |
| 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 2 (3), 6, 2023 | 238 | 2023 |
| 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 | 225 | 2023 |
| Deep generalized canonical correlation analysis A Benton, H Khayrallah, B Gujral, DA Reisinger, S Zhang, R Arora Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP …, 2019 | 214 | 2019 |
| AMR parsing as sequence-to-graph transduction S Zhang, X Ma, K Duh, B Van Durme arXiv preprint arXiv:1905.08704, 2019 | 212 | 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 | 208 | 2016 |
| Context-faithful prompting for large language models W Zhou, S Zhang, H Poon, M Chen arXiv preprint arXiv:2303.11315, 2023 | 186 | 2023 |
| BiomedCLIP: A multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs. arXiv 2023 S Zhang, Y Xu, N Usuyama, H Xu, J Bagga, R Tinn, S Preston, R Rao, ... arXiv preprint arXiv:2303.00915, 2023 | 167* | 2023 |
| Ordinal common-sense inference S Zhang, R Rudinger, K Duh, B Van Durme Transactions of the Association of Computational Linguistics, 2017 | 145 | 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 | 129 | 2014 |
| 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 | 121 | 2024 |
| Optimizing bi-encoder for named entity recognition via contrastive learning S Zhang, H Cheng, J Gao, H Poon arXiv preprint arXiv:2208.14565, 2022 | 94 | 2022 |
| mdpo: Conditional preference optimization for multimodal large language models F Wang, W Zhou, JY Huang, N Xu, S Zhang, H Poon, M Chen arXiv preprint arXiv:2406.11839, 2024 | 93 | 2024 |
| Broad-coverage semantic parsing as transduction S Zhang, X Ma, K Duh, B Van Durme arXiv preprint arXiv:1909.02607, 2019 | 86 | 2019 |
| Knowledge-rich self-supervision for biomedical entity linking S Zhang, H Cheng, S Vashishth, C Wong, J Xiao, X Liu, T Naumann, ... Findings of the Association for Computational Linguistics: EMNLP 2022, 868-880, 2022 | 60 | 2022 |
Hoifung PoonGeneral Manager, Microsoft ResearchVerified email at microsoft.com
