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Introducing FACTS Grounding. A new benchmark we’re launching with Google DeepMind to evaluate LLM’s factual accuracy on over 1700 tasks. 🧠📐

The leaderboard results are calculated using 1719 factual grounding tasks. Each example includes a document, a system instruction requiring the LLM to exclusively reference the provided document, and an accompanying user request.

We’ll be expanding and maintaining FACTS over time with new models and tasks. We hope FACTS Grounding helps promote the development of knowledgeable and trustworthy AI systems.

We’ll also be working with model owners and the community to add more models to the leaderboard over time. Let us know what we should evaluate next! 👀

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