Author

Xiao-Dong Liu

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Jul 2026

SkillSight: Calibrating Generic Content Bias for Skill Retrieval

As large language model agents gain access to increasingly large skill libraries, retrieving the right skill becomes critical to reliable capability selection and execution. Existing retrievers often treat skill contents as ordinary documents, overlooking their highly regular structure: shared descriptive patterns recu...

Jin-Ying Xiao, Bin Li, Xiaopeng Li et al. · arXiv.org · 3 citations

SkillSight: Seeing Through Shared Descriptions for Accurate Skill Retrieval

SkillSight, a training-free retrieval framework that calibrates shared background in both semantic and lexical spaces and achieves the best overall performance across three agent models and outperforms LLM Selection by up to 4.97 percentage points.

Jin-Ying Xiao, Bing Ji, Shasha Li et al. · 0 citations