Do LLMs Make More Mistakes If They Do Not Believe the Input Data?

Peter Kochelka, Aleš Manuel Papáček, Vojtěch Dvořák +1

Large language models (LLMs) are prone to hallucinating or misinterpreting facts, which impairs their usability in retrieval-augmented generation or data-to-text systems. We analys…