3 papers
cs.CL2026
Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records
Jian Lu, Panyu Chen, Miriam Treggiari +5
Objective: To characterize the kinds of internal documentation inconsistencies a general-domain large language model (LLM) can surface from real-world discharge summaries, and to i…
cs.LG2026
Planner Aware Path Learning in Diffusion Language Models Training
Fred Zhangzhi Peng, Zachary Bezemek, Jarrid Rector-Brooks +5
Diffusion language models have emerged as a powerful alternative to autoregressive models, enabling fast inference through more flexible and parallel generation paths. This flexibi…
cs.DB2026
Reliable Curation of EHR Dataset via Large Language Models under Environmental Constraints
Raymond M. Xiong, Panyu Chen, Tianze Dong +6
Electronic health records (EHRs) are central to modern healthcare delivery and research; yet, many researchers lack the database expertise necessary to write complex SQL queries or…