The Hallucinations Leaderboard -- An Open Effort to Measure Hallucinations in Large Language Models

arXiv:2404.05904v1 Announce Type: new
Abstract: Large Language Models (LLMs) have transformed the Natural Language Processing (NLP) landscape with their remarkable ability to understand and generate human-like text. However, these models are prone to ``hallucinations'' -- outputs that do not align with factual reality or the input context. This paper introduces the Hallucinations Leaderboard, an open initiative to quantitatively measure and compare the tendency of each model to produce hallucinations. The leaderboard uses a comprehensive set of benchmarks focusing on different …

abstract arxiv cs.cl generate hallucinations however human human-like landscape language language models language processing large language large language models leaderboard llms natural natural language natural language processing nlp processing reality text type