2 papers
cs.CL2026
Making Clinical Language Models Auditable: Concept-Guided Fine-Tuning for Robust Prediction
Jin Mu, Guanhua Chen
Clinical language models can achieve strong in-hospital accuracy yet fail under deployment shifts because they exploit note-specific artifacts (e.g., templates, separators, boilerp…
cs.AI2026
Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing
Jiacheng Miao, Jin Mu, Guanhua Chen +1
Reliable hypothesis testing is the foundation of many empirical scientific claims. Large language model (LLM) agents are increasingly used to automate this process, as they can ins…