arXiv 2609.38879 · cs.LG · 2026-09-30
Does Learning Protein Folding Generalize to Broader Reasoning?
Yong Liu, Zhanpeng Shi, Yizhou Dang, Zhongyue Zhang, Xiaoliang Shi, Zhijian Wei, Shuangjia Zheng
Shanghai JiaoTong University
在最新榜 #180 本站收录于 2026-10-21
一句话要点
研究让大模型学习蛋白质折叠能否迁移成通用的空间与结构推理能力。
Asks whether learning protein folding teaches LLMs reusable spatial and structural reasoning.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库
主题与学科
同主题:AI for Science
- Scaling Parameter-Efficient Fine-Tuning for Brain Encoding ▲237
- EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discovery ▲112
- Predictive Credit: Measuring What Scientific Explanations Add to Experimental Forecasts ▲103
- PDE-JEPA: Predictive Representation Learning of Latent Dynamics Modeling for Parametric PDEs ▲65
- From Research Goals to Scientific Closure: Evaluating Agents Through Evidence-Supported Physics Research ▲53
数据说明
元数据来自 arXiv API(已核实);点赞来自 Hugging Face 每日论文;引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写,不转载摘要原文,请阅读原文。