← Search

Jiaran Gao

2 accepted papers

2026

Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance

AAAI 2026technical

Improving large language models (LLMs) for electronic health record (EHR) reasoning is essential for enabling accurate and generalizable clinical predictions. While LLMs excel at medical text understanding, they underperform on EHR-based prediction tasks due to challenges in modeling temporally stru

Cited by 0SourcePDFScholar
2025

MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation

NeurIPS 2025poster

Measuring parameter importance is crucial for understanding and optimizing large language models (LLMs). Existing work predominantly focuses on pruning or probing at neuron/feature levels without fully considering the cooperative behaviors of model parameters. In this paper, we introduce a novel app…

Cited by 0SourceScholar