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Lu Wang

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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

Beyond Fail-to-Pass: Iterative Hardening of Co-Generated Bug Reproduction Tests and Fixes

CoHarden is proposed, a co-generation framework that uses the Lax signal as an in-loop convergence criterion that generates a test before any fix, then iteratively hardens the test and fix against surviving mutation patches until the generated test no longer admits Lax regressions.

Yuhao Tan, Zhibang Yang, Fangkai Yang et al. · 1 citation

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