The Hallucinations Leaderboard, an Open Effort to Measure Hallucinations in Large Language Models

This article announces the creation of "The Hallucinations Leaderboard," an open initiative by Hugging Face to measure and track the tendency of Large Language Models (LLMs) to generate false or misleading information, often referred to as "hallucinations." The leaderboard aims to provide a standardized way to evaluate and compare different LLMs based on their propensity for factual errors. This is a crucial step in improving the reliability and trustworthiness of AI systems, as hallucinations are a significant barrier to their widespread adoption. The open nature of the project encourages community participation and collaboration in identifying and mitigating these issues.

• •Hugging Face is launching a leaderboard to measure LLM hallucinations.
• •The leaderboard aims to provide a standardized evaluation of LLMs.
• •The project is open and encourages community participation.