Author

Xingliang Wang

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#small language model Preprint Sep 2026

EviRCA: Decoupling Evidence Extraction from Reasoning for Microservice Root-Cause Analysis

EviRCA is presented, a framework for LLM-based RCA that decouples deterministic evidence extraction from LLM reasoning and substantially outperforms prior OpenRCA baselines that achieve up to 15.2%, while reducing token consumption by 15-26x and execution time by 3-20x.

Yu-Hao Wang, Zhen Qin, Xing-Liang Wang et al. · 0 citations

Jul 2026

Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments

This work presents Change2Task, a system grounded in repository history that converts merged pull requests into verified tasks on healthy modern revisions of the same repository, and provides executable data for coding agent training and evaluation while reducing repeated environment setup, storage, and task construction effort.

Haomin Qi, Xing-Liang Wang, Xuanqi Gao et al. · arXiv.org · 0 citations