2 papers
cs.CL2025
MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning
Rajarshi Ghosh, Abhay Gupta, Hudson McBride +2
Large language models (LLMs) are increasingly deployed in clinical decision support, yet subtle demographic cues can influence their reasoning. Prior work has documented disparitie…
cs.LG2025
Composable Interventions for Language Models
Arinbjorn Kolbeinsson, Kyle O'Brien, Tianjin Huang +8
Test-time interventions for language models can enhance factual accuracy, mitigate harmful outputs, and improve model efficiency without costly retraining. But despite a flood of n…