Ben Gao
Ben Gao has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining; often with Dongzhan Zhou, Erik Cambria, Tong Xie.
OpenAlex · h-index 2 · 11 works · 10 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 54 times in our library · ⭐ Paper Stars ranking: #9380
Affiliations
Fields, topics and concepts
📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksMaterials Science · 1 workComputational Theory and Mathematics · 1 workMaterials Chemistry · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses (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. - ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition (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
- Dongzhan Zhou ×2
- Erik Cambria ×2
- Tong Xie ×2
- Wanli Ouyang ×2
- Yuqiang Li ×2
- Zonglin Yang ×2
- Jinjie Ni
- Shixiang Tang
- Soujanya Poria
- Yujie Liu
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/ben-gao/