Farida Far Poor

GuidelineGuard: An Agentic Retrieval-Augmented Generation Framework with Sentence-Level Citation Auditing for Guideline-Grounded Question Answering

Background: Large language models (LLMs) can produce clinically plausible recommendations that are not adequately supported by authoritative evidence. Objectives: We introduce GuidelineGuard, a modular multi-agent retrieval-augmented generation pipeline in which a separate Audito...