Chain-of-thought reasoning substantially reduces hallucinations in LLMs analyzing long, complex documents—a critical capability for compliance and legal applications where accuracy is non-negotiable.
ESG-Bench is a benchmark dataset for testing how well AI models understand long corporate ESG (environmental, social, governance) reports and avoid making up false information. The dataset contains real ESG reports paired with human-verified question-answer pairs, letting researchers measure when models hallucinate versus when they accurately extract facts.