LLM-based evaluation FACTS Benchmark Suite: a new way to systematically evaluate LLMs factualityThe FACTS Benchmark Suite provides a systematic evaluation of Large Language Models (LLMs) factuality across three areas: Parametric, Search, and Multimodal reasoning.https://deepmind.google/blog/facts-benchmark-suite-systematically-evaluating-the-factuality-of-large-language-models/google/FACTS-grounding-public · Datasets at Hugging FaceWe’re on a journey to advance and democratize artificial intelligence through open source and open science.https://huggingface.co/datasets/google/FACTS-grounding-publicFACTS Grounding: A new benchmark for evaluating the factuality of large language modelsOur comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source material and avoid hallucinationshttps://deepmind.google/discover/blog/facts-grounding-a-new-benchmark-for-evaluating-the-factuality-of-large-language-models/
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