--- title: "Caishuang Huang · Fudan University — author profile and papers" description: "Caishuang Huang, Fudan University: 3 papers on Elamur Research (2025–2026), h-index 7 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/caishuang-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/caishuang-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Caishuang Huang # Caishuang Huang Caishuang Huang has 3 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/); often with [Junjie Ye](https://md.research.elamur.ai/free/en/authors/junjie-ye/), [Tao Gui](https://md.research.elamur.ai/free/en/authors/tao-gui/), [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5016693603) · [**h-index 7**](https://openalex.org/authors/A5016693603) · [22 works](https://openalex.org/works?filter=author.id:A5016693603) · [108 citations](https://openalex.org/works?filter=author.id:A5016693603&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/caishuang-huang/#papers) · [🔗 Cited 127 times in our library](https://md.research.elamur.ai/free/en/authors/caishuang-huang/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7791](https://md.research.elamur.ai/free/en/paper-stars/page/78/#star-7791) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Caishuang+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Caishuang+Huang) · [dblp](https://dblp.org/search?q=Caishuang+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Caishuang+Huang) ## Affiliations [🎓**Fudan University** Shanghai · China 2024–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🏛️**Chinese Academy of Forestry** Beijing · China 2021–2023 · 3 papers](https://ror.org/0360dkv71) · [🔬**Institute of Forest Ecology, Environment and Protection** Beijing · China 2021–2023 · 3 papers](https://ror.org/05mks4240) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/caishuang-huang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/caishuang-huang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios](https://md.research.elamur.ai/free/en/papers/ye-2025-tooleyes-fine-grained-evaluation-tool/)** *(2025 · 35 citations)* Most benchmarks for tool use by large language models only check whether a model picks the expected API. That approach works only when correct answers can be fixed in advance, and it reveals little about the skills behind successful tool use. ToolEyes addresses both gaps. The authors define seven realistic scenarios… 2. **[Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/yang-2025-beyond-boundaries-learning-universal-entity/)** *(2025 · 11 citations)* Open NER requires a model to find entities of any requested type in text from any domain, and even strong LLMs such as GPT-4 perform poorly at it. 3. **[MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models](https://md.research.elamur.ai/free/en/papers/ye-2026-muldimif-multi-dimensional-constraint-framework/)** *(2026 · 4 citations)* Most instruction-following benchmarks for LLMs vary only the type of constraint. They say little about how constraints are phrased or how hard their combinations are, and they offer little insight into how to improve models. MulDimIF addresses this with a framework that describes each instruction along three axes… ## All works 6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Secrets of RLHF in Large Language Models Part II: Reward Modeling ↗](https://arxiv.org/abs/2401.06080) arXiv:2401.06080 · no summary yet**Binghai Wang et al.*2024 · 72 citations* 2. **[ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios](https://md.research.elamur.ai/free/en/papers/ye-2025-tooleyes-fine-grained-evaluation-tool/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Junjie Ye, Guanyu Li, SongYang Gao, et al.*2025 · 35 citations* 3. **[StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ↗](https://aclanthology.org/2024.acl-long.251/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shihan Dou et al.*2024 · 32 citations* 4. **[Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/yang-2025-beyond-boundaries-learning-universal-entity/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yuming Yang, Wantong Zhao, Caishuang Huang, et al.*2025 · 11 citations* 5. **[MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models](https://md.research.elamur.ai/free/en/papers/ye-2026-muldimif-multi-dimensional-constraint-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junjie Ye, Caishuang Huang, Zhuohan Chen, et al.*2026 · 4 citations* 6. **[VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training ↗](https://aclanthology.org/2026.acl-long.1103/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Dingwei Zhu et al.*2026* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Junjie Ye](https://md.research.elamur.ai/free/en/authors/junjie-ye/) ×3 - [Tao Gui](https://md.research.elamur.ai/free/en/authors/tao-gui/) ×3 - [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) ×2 - [Yilong Wu](https://md.research.elamur.ai/free/en/authors/yilong-wu/) ×2 - [Meng Zhou](https://md.research.elamur.ai/free/en/authors/meng-zhou/) - [Peng Wang](https://md.research.elamur.ai/free/en/authors/peng-wang/) - [Shihan Dou](https://md.research.elamur.ai/free/en/authors/shihan-dou/) - [SongYang Gao](https://md.research.elamur.ai/free/en/authors/songyang-gao/) - [Tao Ji](https://md.research.elamur.ai/free/en/authors/tao-ji/) - [Xiao Wang](https://md.research.elamur.ai/free/en/authors/xiao-wang/) - [Xiaoran Fan](https://md.research.elamur.ai/free/en/authors/xiaoran-fan/) - [Xuanjing Huang](https://md.research.elamur.ai/free/en/authors/xuanjing-huang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/) ×2: [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) ×2 - Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 127 times (of the 149,439 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/caishuang-huang/cited-by/). Updated 31 October 2026