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Why It Matters
Textual skills enable large language model (LLM) based agents to accumulate reusable procedural knowledge without updating model parameters.
Provenance
Discovered via ArXiv and published by ArXiv.
Key Claims
Original description
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 trajectories and sparse task outcomes. This text-only paradigm leaves the agent's internal representations, which contain rich records of its evolving execution state, outside the skill optimization loop. We ask whether an agent can improve its external textual skills by reflecting o...
Discovered via ArXiv
Research papers and preprints from arXiv.
Publisher: arxiv.org
ID: http://arxiv.org/abs/2609.39149v1 · Indexed about 1 hour ago