Sheng Zhang — all works
- A whole-slide foundation model for digital pathology from real-world data ↗Nature · no summary yetHanwen Xu et al.2024 · 904 citations
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayConference on Neural Information Processing Systems (NeurIPS)Chunyuan Li, Cliff Wong, Sheng Zhang, et al.2023 · 692 citations
- ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading ComprehensionarXiv:1810.12885Sheng Zhang, Xiaodong Liu, Jingjing Liu, et al.2018 · 388 citations
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine ↗arXiv:2311.16452 · no summary yetHarsha Nori et al.2023 · 296 citations
- AMR Parsing as Sequence-to-Graph Transduction ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetSheng Zhang et al.2019 · 217 citations
- Universal Decompositional Semantics on Universal DependenciesAaron Steven White, Drew Reisinger, Keisuke Sakaguchi, et al.English · 208 citations
- Ordinal Common-sense InferenceTransactions of the Association for Computational Linguistics (TACL)Sheng Zhang, Rachel Rudinger, Kevin Duh, et al.2017 · 193 citations
- Context-faithful Prompting for Large Language ModelsFindings of the Association for Computational LinguisticsWenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.2023 · 148 citations
- BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs ↗arXiv (Cornell University) · no summary yetSheng Zhang et al.2023 · 146 citations
- Broad-Coverage Semantic Parsing as TransductionConference on Empirical Methods in Natural Language Processing (EMNLP)Sheng Zhang, Xutai Ma, Kevin Duh, et al.2019 · 124 citations
- PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSheng Zhang et al.2023 · 81 citations
- Multimodal AI generates virtual population for tumor microenvironment modeling ↗Cell · no summary yetJeya Maria Jose Valanarasu et al.2025 · 57 citations
- Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning ↗arXiv (Cornell University) · no summary yetSheng Zhang et al.2022 · 54 citations
- mDPO: Conditional Preference Optimization for Multimodal Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fei Wang, Wenxuan Zhou, James Y. Huang, et al.2024 · 50 citations
- Biomedical Natural Language Processing in the Era of Large Language Models ↗Annual Review of Biomedical Data Science · no summary yetNaoto Usuyama et al.2025 · 25 citations
- Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events ↗arXiv (Cornell University) · no summary yetGu, Yu et al.2023 · 22 citations
- Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning ↗arXiv (Cornell University) · no summary yetSheng Zhang et al.2025 · 21 citations
- The Universal Decompositional Semantics Dataset and Decomp ToolkitLanguage Resources and Evaluation Conference (LREC)Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, et al.2020 · 18 citations
- Offset Unlearning for Large Language Models ↗arXiv (Cornell University) · no summary yetJames Y. Huang et al.2024 · 17 citations
- Joint Universal Syntactic and Semantic ParsingTransactions of the Association for Computational Linguistics (TACL)Elias Stengel-Eskin, Kenton Murray, Sheng Zhang, et al.2021 · 16 citations
- Modular Self-Supervision for Document-Level Relation Extraction ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetSheng Zhang et al.2021 · 13 citations
- Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets GenerationarXiv:2501.12202Zibo Zhao, Zeqiang Lai, Qingxiang Lin, et al.2025 · 12 citations
- Continual Contrastive Finetuning Improves Low-Resource Relation Extraction ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetWenxuan Zhou et al.2023 · 9 citations
- Compositional Zero-Shot Domain Transfer with Text-to-Text Models ↗Transactions of the Association for Computational Linguistics · no summary yetFangyu Liu et al.2023 · 8 citations
- MetaScale: Test-Time Scaling with Evolving Meta-ThoughtsFindings of the Association for Computational LinguisticsQin Liu, Wenxuan Zhou, Nan Xu, et al.2026 · 7 citations
- X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains ↗arXiv (Cornell University) · no summary yetQianchu Liu et al.2025 · 5 citations
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries ↗arXiv (Cornell University) · no summary yetZelalem Gero et al.2024 · 4 citations
- MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Sheng Zhang, Junyi Li, Yingyi Zhang, et al.2026 · 1 citation
- DSMentor: Curriculum-Guided Inference with Online Memory for Data-Science LLM AgentsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraHe Wang, Alexander Hanbo Li, Yiqun Hu, et al.2026
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