3 papers
cs.CL2026
CRAFT: LLM-Based Iterative Refinement for Temporal Reasoning over Clinical Narratives
Chengyang He, Tahreem Arif, Marko Zivkovic +3
Understanding the temporal progression of symptoms in clinical narratives is critical for disease monitoring, safety surveillance, and causality assessment. Clinical narratives, ho…
cs.CL2026
MERMAID: Memory-Enhanced Retrieval and Reasoning with Multi-Agent Iterative Knowledge Grounding for Veracity Assessment
Yupeng Cao, Chengyang He, Yangyang Yu +2
Assessing the veracity of online content has become increasingly critical. Large language models (LLMs) have recently enabled substantial progress in automated veracity assessment,…
cs.CL2025
Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models
Chengyang He, Wenlong Zhang, Violet Xinying Chen +2
Accurate medical symptom coding from unstructured clinical text, such as vaccine safety reports, is a critical task with applications in pharmacovigilance and safety monitoring. Sy…