Agent-evolution methods use execution feedback to improve prompts, skills, tools, and orchestration, but their implementations often rebuild the same experimental machinery. We present RSIHub, an open-source framework for building, comparing, and extending these methods on shared infrastructure. Recipes compose reusabl...
Zi-Mu Wang, Xiaobo Wang, Si-Yu Ye et al.· 1 citation
A lightweight framework that dynamically terminates reasoning by estimating whether the generated prefix is sufficient for correct answering and derives robust training labels through repeated answer completions is presented, demonstrating an effective approach to more efficient LLM reasoning.
Keshu Fu, Ke-Qin Peng, Jun Bai et al.· arXiv.org· 0 citations
ContinualSkillBench is introduced, a dynamic evaluation framework for in-context continual skill learning that shows that current in-context skill evolution mechanisms can support continual adaptation, but still struggle to consistently consolidate experience into robust and transferable skills.
Tianyi Guan, Yiding Wang, Haotong Yang et al.· 2 citations
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