Researchers from Google DeepMind and Stanford Introduce Search-Augmented Factuality Evaluator (SAFE): Enhancing Factuality Evaluation in Large Language Models

Understanding and improving the factuality of responses generated by large language models (LLMs) is critical in artificial intelligence research. The domain investigates how well these models can adhere to truthfulness when answering open-ended, fact-seeking queries across various topics. Despite their advancements, LLMs often need to work on generating content that does not contain factual inaccuracies […]

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