Author

Zheng Zhang

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#artificial intelligence Preprint Sep 2026

Rep2Skill: Representation-Guided Skill Self-Evolution for LLM Agents

Textual skills enable large language model (LLM) based agents to accumulate reusable procedural knowledge without updating model parameters. Yet existing skill evolution remains largely confined to the text space: an optimizer must diagnose success and failure patterns, and revise skills solely from long execution traj...

Kai-Xin Zhang, Chang-Ming Li, Ying-Dong Shi et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Train Ahead, Distill Back: Bootstrapping On-Policy Self-Distillation for Large Language Models

On-policy self-distillation (OPSD) improves large language models by letting a self-teacher with privileged information provide dense token-level supervision on the model's own trajectories. Yet existing methods typically construct the self-teacher from the current, initial, or slowly averaged policy state, leaving the...

Zheng Zhang, Xin-Yue Tan, Lu Li et al. · 0 citations