In Search of Truth: An Interrogation Approach to Hallucination Detection

arXiv:2403.02889v1 Announce Type: cross
Abstract: Despite the many advances of Large Language Models (LLMs) and their unprecedented rapid evolution, their impact and integration into every facet of our daily lives is limited due to various reasons. One critical factor hindering their widespread adoption is the occurrence of hallucinations, where LLMs invent answers that sound realistic, yet drift away from factual truth. In this paper, we present a novel method for detecting hallucinations in large language models, which tackles a critical …

abstract adoption advances arxiv cs.cl cs.lg daily detection every evolution facet hallucination hallucinations impact integration language language models large language large language models llms search truth type