SkillAA framework enhances LLM external skill integration with attribution-guided updates

A new framework called SkillAA has been developed to improve how large language models interact with external skills. This system uses a skill graph to guide the selection, repair, and validation of these skills, contrasting successful and failed executions to pinpoint specific areas for improvement. SkillAA demonstrated strong performance on benchmarks like SearchQA, LiveMath, and DocVQA when integrated with GPT 5.6 "Sol", achieving high scores and outperforming other methods in various settings. AI

影响 This framework could improve the reliability and efficiency of LLMs in complex tasks requiring external tools.

排序理由 This is a research paper detailing a new framework for LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

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