4 papers
Fully Open Meditron: An Auditable Pipeline for Clinical LLMs
Xavier Theimer-Lienhard, Mushtaha El-Amin, Fay Elhassan +5
Clinical decision support systems (CDSS) require scrutable, auditable pipelines that enable rigorous, reproducible validation. Yet current LLM-based CDSS remain largely opaque. Mos…
Preferred, Not Safer: Pairwise Preference Is a Poor Proxy for Clinical Safety
Fay Elhassan, David Sasu, Alexandra Kulinkina +2
We evaluate whether clinician pairwise preferences provide a reliable signal of clinical safety in large language model (LLM) evaluation using expert feedback from MOOVE (Massive O…
MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support
Yusuf Kesmen, Fay Elhassan, Jiayi Ma +7
Large language models (LLMs) are increasingly used for conversational clinical decision support, yet they conflate next token prediction with probabilistic decision making. We argu…
Can you Finetune your Binoculars? Embedding Text Watermarks into the Weights of Large Language Models
Fay Elhassan, Niccolò Ajroldi, Antonio Orvieto +1
The indistinguishability of AI-generated content from human text raises challenges in transparency and accountability. While several methods exist to watermark models behind APIs,…