
Recent advancements in the understanding of large language models (LLMs) have revealed their capability to identify their own errors, often referred to as "hallucinations." This breakthrough, achieved by researchers from Technion, Google Research, and Apple, marks a significant step forward in comprehending the truthfulness within LLMs. Hallucinations in LLMs encompass a wide range of errors, including factual inaccuracies, biases, and