3 papers
cs.CY2026
MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning Correction
Xinchun Su, Chunxu Luo, Lipeng Ma +2
Accurate clinical diagnosis requires extensive domain knowledge and complex clinical reasoning capabilities. Although large language models (LLMs) hold great potential for clinical…
cs.CL2025
MedCritical: Enhancing Medical Reasoning in Small Language Models via Self-Collaborative Correction
Xinchun Su, Chunxu Luo, Yixuan Li +2
In the field of medicine, complex reasoning tasks such as clinical diagnosis, treatment planning, and medical knowledge integration pose significant challenges, where small languag…
cs.AI2025
LogReasoner: Empowering LLMs with Expert-like Coarse-to-Fine Reasoning for Automated Log Analysis
Lipeng Ma, Yixuan Li, Weidong Yang +7
Log analysis is crucial for monitoring system health and diagnosing failures in complex systems. Recent advances in large language models (LLMs) offer new opportunities for automat…