Author

Run Yang

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#artificial intelligence Preprint Sep 2026

Self-Evolving Agents via Likelihood-Guided Tool-Space Optimization

Self-evolving agents can continually improve their behavior, while tools define the executable action space through which they interact with the environment. However, exposing the full tool library to model introduces substantial irrelevant context and can impair tool-use decisions. We study tool-space self-evolution,...

Xuanqi Zhang, Rui-Nan Jin, Run Yang et al. · 0 citations

#machine learning Preprint Aug 2026

Influence-Directed Distillation: Solving the Diversity Bottleneck in Sampled-Token On-Policy Distillation

Experiments show Influence-Directed Adaptive On-Policy Distillation (IDA-OPD), rather than relying on costly full-vocabulary Forward-KL objectives, preserves entropy-expanding updates while replacing entropy-contracting ones with divergence-adaptive advantage shrinkage, using only the teacher's sampled-token log-probab...

Run Yang, Runpeng Dai, Jie Sun et al. · 0 citations