Author

Mo Yu

2 papers indexed here

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Preprint Aug 2026

InsightEmb: Learning Action-Intent Embeddings for Agentic Insight Retrieval

InsightEmb is a contrastive embedding framework that learns transferable progress-oriented retrieval geometry using only mathematical reasoning data, enabling effective training from publicly available reasoning data without expensive environment-specific supervision.

Tsz-Ting Chung, Jiang-Nan Li, Jie Zhou et al. · 0 citations

Jul 2026

A New Role for Relevance: Guiding Corpus Interaction in Agentic Search

The Relevance-Aware RipGrep Search Agent (RARG) is introduced, which turns relevance into an execution prior for corpus interaction, and demonstrates that relevance-aware interaction enables faster and more reliable search convergence.

Jiang-Nan Li, Yuqing Li, Yu Mo et al. · arXiv.org · 2 citations