3 papers
cs.AI2026
LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data
Akshat Dasula, Prasanna Desikan, Jaideep Srivastava
Large language models (LLMs) are increasingly applied to structured clinical data, yet whether they can recognize the limits of their own knowledge on such tasks remains unexplored…
cs.AI2026
CareTransition-Audit: A Benchmark to Audit Discharge Summaries for Efficient Care Transitions
Akshat Dasula, Prasanna Desikan, Jaideep Srivastava +2
Incomplete or inconsistent discharge documentation drives care fragmentation and avoidable readmissions. Despite its critical role in patient safety, auditing discharge summaries r…
cs.CL2024
Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries
Harshavardhan Battula, Jiacheng Liu, Jaideep Srivastava
To evaluate a multi-representational framework in which large language model (LLM)-generated expert summaries of intensive care unit (ICU) notes are fused with physiology for in-ho…