Author

Weixi Tong

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#artificial intelligence Jun 2026

FLARE: Fine-Grained Diagnostic Feedback for LLM Code Refinement

Flare, an iterative framework with a lightweight diagnostic model that predicts line-level suspiciousness signals for bug localization and code refinement, achieves the best performance compared with recent fault localization methods, demonstrating that it can provide reliable fine-grained guidance for code refinement.

Yin-Sheng Yao, Hongxiang Zhang, Weixi Tong et al. · arXiv.org · 1 citation

Review Aug 2026

MUSE: An Interactive Meta-Agent for Understanding and Steering LLM-powered Data Science Systems

MUSE is presented, an interactive meta-agent that enhances user understanding and control of agentic data science systems by dynamically restructuring low-level execution traces into multiple semantic levels that support navigation from high-level overviews to low-level implementation details.

Wei-Hao Chen, Weixi Tong, Yuan Tian et al. · 0 citations