3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2026
SE-GoS: Self-Evolving Graph-of-Skills for Skill Library at Scale
Dawei Fu, Cheng Jiang, Sitian Qian +2
Modern LLM agents increasingly rely on reusable skills, yet as skill libraries scale to thousands of entries, effective retrieval becomes a bottleneck. Graph-of-Skills (GoS) addres…
cs.LG2026
Helix: Evolutionary Reinforcement Learning for Open-Ended Scientific Problem Solving
Chang Su, Zhongkai Hao, Zhizhou Zhang +4
Large language models (LLMs) with reasoning abilities have demonstrated growing promise for tackling complex scientific problems. Yet such tasks are inherently domain-specific, unb…
q-bio.BM2023★ 3 cited
Full-Atom Protein Pocket Design via Iterative Refinement
Zaixi Zhang, Zepu Lu, Zhongkai Hao +2
The design of \emph{de novo} functional proteins that bind specific ligand molecules is paramount in therapeutics and bio-engineering. A critical yet formidable task in this endeav…