Author

Jin Mu

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Preprint Aug 2026

Making Clinical Language Models Auditable: Concept-Guided Fine-Tuning for Robust Prediction

CAST (Concept-guided Artifact Suppression Tuning), an SAE-based framework for auditable clinical text classification, improves over its corresponding fine-tuned encoder baselines and remains competitive with strong LLM baselines, while producing a feature-level audit trail of the clinical concepts that support each pre...

Jin Mu, Guan-Hua Chen · 0 citations

Preprint Aug 2026

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing

P-Bench is built, a benchmark comprising 425 open-ended, realistic hypothesis-testing tasks spanning economics, biology, and medicine and introduces Fisher-R1, an open-weight LLM agent trained for rigorous hypothesis testing using synthetic tasks and reinforcement learning.

Jia-Cheng Miao, Jin Mu, Guan-Hua Chen et al. · 0 citations