hallucination-leaderboard

A leaderboard for comparing the hallucination rates of large language models when summarizing short documents.

CommonProductOthersLLMHallucination Detection

This product is an open-source project developed by Vectara to evaluate the hallucination rate of Large Language Models (LLMs) when summarizing short documents. It utilizes Vectara's Hughes Hallucination Evaluation Model (HHEM-2.1) to calculate rankings by detecting hallucinations in the model's output. This tool is significant for researching and developing more reliable LLMs, helping developers understand and improve the accuracy of their models.

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