Author

Chao Wang

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Jul 2026

SkillSight: Calibrating Generic Content Bias for Skill Retrieval

SkillSight is proposed, 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 in end-to-end evaluation.

Jin-Ying Xiao, Bin Li, Xiaopeng Li et al. · arXiv.org · 5 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