---
title: "Sheng Zhang — all works — Elamur Research"
description: "All 29 works of Sheng Zhang in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/sheng-zhang/works/"
---
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# Sheng Zhang — all works

29 works · [← Sheng Zhang](https://md.research.elamur.ai/free/en/authors/sheng-zhang/)

1. **[A whole-slide foundation model for digital pathology from real-world data ↗](https://doi.org/10.1038/s41586-024-07441-w) Nature · no summary yet**Hanwen Xu et al.*2024 · 904 citations*
2. **[LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day](https://md.research.elamur.ai/free/en/papers/li-2023-llava-med-training-large-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Chunyuan Li, Cliff Wong, Sheng Zhang, et al.*2023 · 692 citations*
3. [**ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension arXiv:1810.12885**Sheng Zhang, Xiaodong Liu, Jingjing Liu, et al.*2018 · 388 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-record-bridging-gap-between-human/)
4. **[Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine ↗](https://arxiv.org/abs/2311.16452) arXiv:2311.16452 · no summary yet**Harsha Nori et al.*2023 · 296 citations*
5. **[AMR Parsing as Sequence-to-Graph Transduction ↗](https://aclanthology.org/P19-1009/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Sheng Zhang et al.*2019 · 217 citations*
6. [**Universal Decompositional Semantics on Universal Dependencies**Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, et al.*English · 208 citations*](https://md.research.elamur.ai/free/en/papers/white-2016-universal-decompositional-semantics-universal-dependencies/)
7. **[Ordinal Common-sense Inference](https://md.research.elamur.ai/free/en/papers/zhang-2017-ordinal-common-sense-inference/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Sheng Zhang, Rachel Rudinger, Kevin Duh, et al.*2017 · 193 citations*
8. **[Context-faithful Prompting for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2023-context-faithful-prompting-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.*2023 · 148 citations*
9. **[BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs ↗](https://arxiv.org/abs/2303.00915) arXiv (Cornell University) · no summary yet**Sheng Zhang et al.*2023 · 146 citations*
10. **[Broad-Coverage Semantic Parsing as Transduction](https://md.research.elamur.ai/free/en/papers/zhang-2019-broad-coverage-semantic-parsing-as/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sheng Zhang, Xutai Ma, Kevin Duh, et al.*2019 · 124 citations*
11. **[PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery ↗](https://doi.org/10.1109/cvpr52729.2023.00339) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Sheng Zhang et al.*2023 · 81 citations*
12. **[Multimodal AI generates virtual population for tumor microenvironment modeling ↗](https://doi.org/10.1016/j.cell.2025.11.016) Cell · no summary yet**Jeya Maria Jose Valanarasu et al.*2025 · 57 citations*
13. **[Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning ↗](https://arxiv.org/abs/2208.14565) arXiv (Cornell University) · no summary yet**Sheng Zhang et al.*2022 · 54 citations*
14. **[mDPO: Conditional Preference Optimization for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-mdpo-conditional-preference-optimization-multimodal/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fei Wang, Wenxuan Zhou, James Y. Huang, et al.*2024 · 50 citations*
15. **[Biomedical Natural Language Processing in the Era of Large Language Models ↗](https://doi.org/10.1146/annurev-biodatasci-103123-095406) Annual Review of Biomedical Data Science · no summary yet**Naoto Usuyama et al.*2025 · 25 citations*
16. **[Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events ↗](https://arxiv.org/abs/2307.06439) arXiv (Cornell University) · no summary yet**Gu, Yu et al.*2023 · 22 citations*
17. **[Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning ↗](https://arxiv.org/abs/2502.19655) arXiv (Cornell University) · no summary yet**Sheng Zhang et al.*2025 · 21 citations*
18. **[The Universal Decompositional Semantics Dataset and Decomp Toolkit](https://md.research.elamur.ai/free/en/papers/white-2020-universal-decompositional-semantics-dataset-decomp/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, et al.*2020 · 18 citations*
19. **[Offset Unlearning for Large Language Models ↗](https://arxiv.org/abs/2404.11045) arXiv (Cornell University) · no summary yet**James Y. Huang et al.*2024 · 17 citations*
20. **[Joint Universal Syntactic and Semantic Parsing](https://md.research.elamur.ai/free/en/papers/eskin-2021-joint-universal-syntactic-semantic-parsing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Elias Stengel-Eskin, Kenton Murray, Sheng Zhang, et al.*2021 · 16 citations*
21. **[Modular Self-Supervision for Document-Level Relation Extraction ↗](https://aclanthology.org/2021.emnlp-main.429/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Sheng Zhang et al.*2021 · 13 citations*
22. [**Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation arXiv:2501.12202**Zibo Zhao, Zeqiang Lai, Qingxiang Lin, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2025-hunyuan3d-2-0-scaling/)
23. **[Continual Contrastive Finetuning Improves Low-Resource Relation Extraction ↗](https://aclanthology.org/2023.acl-long.739/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Wenxuan Zhou et al.*2023 · 9 citations*
24. **[Compositional Zero-Shot Domain Transfer with Text-to-Text Models ↗](https://aclanthology.org/2023.tacl-1.62/) Transactions of the Association for Computational Linguistics · no summary yet**Fangyu Liu et al.*2023 · 8 citations*
25. **[MetaScale: Test-Time Scaling with Evolving Meta-Thoughts](https://md.research.elamur.ai/free/en/papers/liu-2026-metascale-test-time-scaling-evolving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qin Liu, Wenxuan Zhou, Nan Xu, et al.*2026 · 7 citations*
26. **[X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains ↗](https://arxiv.org/abs/2505.03981) arXiv (Cornell University) · no summary yet**Qianchu Liu et al.*2025 · 5 citations*
27. **[Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries ↗](https://arxiv.org/abs/2403.01002) arXiv (Cornell University) · no summary yet**Zelalem Gero et al.*2024 · 4 citations*
28. **[MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-memsearch-o1-empowering-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sheng Zhang, Junyi Li, Yingyi Zhang, et al.*2026 · 1 citation*
29. **[DSMentor: Curriculum-Guided Inference with Online Memory for Data-Science LLM Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-dsmentor-curriculum-guided-inference-online/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**He Wang, Alexander Hanbo Li, Yiqun Hu, et al.*2026*