--- title: "Ben Gao · Wuhan University — author profile and papers" description: "Ben Gao, Wuhan University: 2 papers on Elamur Research (2024–2025), h-index 2 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/ben-gao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ben-gao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ben Gao # Ben Gao Ben Gao has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Dongzhan Zhou](https://md.research.elamur.ai/free/en/authors/dongzhan-zhou/), [Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/), [Tong Xie](https://md.research.elamur.ai/free/en/authors/tong-xie/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5109819194) · [**h-index 2**](https://openalex.org/authors/A5109819194) · [11 works](https://openalex.org/works?filter=author.id:A5109819194) · [10 citations](https://openalex.org/works?filter=author.id:A5109819194&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ben-gao/#papers) · [🔗 Cited 54 times in our library](https://md.research.elamur.ai/free/en/authors/ben-gao/cited-by/) · [⭐ Paper Stars ranking: #9380](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9380) 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=Ben+Gao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ben+Gao) · [dblp](https://dblp.org/search?q=Ben+Gao) · [ACL Anthology](https://aclanthology.org/search/?q=Ben+Gao) ## Affiliations [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2024–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Wuhan University** Wuhan · China 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/wuhan-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/ben-gao/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/ben-gao/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses](https://md.research.elamur.ai/free/en/papers/yang-2024-moose-chem-large-language/)** *(2024 · 36 citations)* The paper asks whether LLMs can independently propose new, valid chemistry hypotheses when given only a research background (a question and/or a short survey) from any subfield. 2. **[ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition](https://md.research.elamur.ai/free/en/papers/liu-2025-researchbench-benchmarking-llms-scientific/)** *(2025 · 25 citations)* Scientific hypothesis generation has had no dedicated benchmark for LLMs. ResearchBench addresses this by building on a decomposition from MOOSE-Chem. In that view, a hypothesis comes from combining a research background with one or more inspirations. Discovery can then be split into three sub-tasks: finding… ## Co-authors here 10 co-authors with a page, the most papers together first. - [Dongzhan Zhou](https://md.research.elamur.ai/free/en/authors/dongzhan-zhou/) ×2 - [Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/) ×2 - [Tong Xie](https://md.research.elamur.ai/free/en/authors/tong-xie/) ×2 - [Wanli Ouyang](https://md.research.elamur.ai/free/en/authors/wanli-ouyang/) ×2 - [Yuqiang Li](https://md.research.elamur.ai/free/en/authors/yuqiang-li/) ×2 - [Zonglin Yang](https://md.research.elamur.ai/free/en/authors/zonglin-yang/) ×2 - [Jinjie Ni](https://md.research.elamur.ai/free/en/authors/jinjie-ni/) - [Shixiang Tang](https://md.research.elamur.ai/free/en/authors/shixiang-tang/) - [Soujanya Poria](https://md.research.elamur.ai/free/en/authors/soujanya-poria/) - [Yujie Liu](https://md.research.elamur.ai/free/en/authors/yujie-liu/) ## Cited by Papers of our library cite their works 54 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ben-gao/cited-by/). Updated 3 November 2026