Author

X. Qin

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#artificial intelligence Preprint Sep 2026

One Prompt Does Not Fit All: Self-Meta-Evolve for Personalized Information Extraction

Self-Meta-Evolve is proposed, a hierarchical framework that maintains a dedicated prompt for each user and continuously refines it through a dual-loop process: an inner loop that edits structured prompts based on persona-conditioned feedback, and an outer loop that evolves the meta-prompt itself by distilling successfu...

Hong-Liang Li, Lu Wang, Yong Xu et al. · 0 citations

Jul 2026

ToolAtlas: Learning Once, Reusing Everywhere with Tool-Side Memory

This work introduces ToolAtlas, a graph-based framework that builds a persistent provider-side tool memory of tool capabilities, failure boundaries, and cross-tool compositions through execution-verified probing and establishes provider-side tool memory as an effective and reusable paradigm for tool servers.

Yue Fang, Zhibang Yang, Fangkai Yang et al. · arXiv.org · 0 citations