AI BriefingLLM Hallucination Measurement Leaderboard Released
Key point
An open-source leaderboard for evaluating factuality and faithfulness hallucinations in LLMs has been released.
Details
The Hallucinations Leaderboard, designed to systematically measure Hallucination, a chronic problem in LLMs, has been released. This project aims to evaluate the reliability of various open-source models.
Hallucinations are evaluated by classifying them into two types:
- Factuality Hallucinations: Cases where the generated content contradicts actual facts.
- Faithfulness Hallucinations: Cases where the generated content does not align with the user's instructions or the given context.
The leaderboard evaluates models through zero-shot and few-shot in-context learning based on EleutherAI's LM Evaluation Harness. The related research can be found in a paper published on arXiv.
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