Article-Journal

Beyond Identifier Matching: An Empirical Characterization of Failure Modes in Biomedical Knowledge Graph Integration
LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval
Race, Ethnicity and Their Implication on Bias in Large Language Models
Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions
Automating Evaluation of AI Text Generation in Healthcare with a Large Language Model (LLM)-as-a-Judge
Brittleness and Promise: Knowledge Graph Based Reward Modeling for Diagnostic Reasoning
Current and future state of evaluation of large language models for medical summarization tasks
Detecting Stigmatizing Language in Clinical Notes with Large Language Models for Addiction Care
Development and validation of the provider documentation summarization quality instrument for large language models
Evaluating clinical AI summaries with large language models as judges