Chengyang He

CRAFT: LLM-Based Iterative Refinement for Temporal Reasoning over Clinical Narratives

This work proposes CRAFT, an LLM framework that pairs a generator with a constraint-based verifier to iteratively produce and refine stage-wise symptom timelines through targeted feedback, and demonstrates that CRAFT consistently improves temporal ordering accuracy.