Harnessing LLM Agents with Skill Programs

In three linesHASP converts textual skills for LLM agents into executable Program Functions that actively intervene in the agent loop at failure-prone states. The framework achieves 25% improvement on web-search vs ReAct and 30.4% gain on math/coding vs Search-R1 through inference-time intervention, post-training, or self-improvement mechanisms.

Summary generated by Claude — human-verified