This AI Paper Introduces ReasonEval: A New Machine Learning Method to Evaluate Mathematical Reasoning Beyond Accuracy

Mathematical reasoning is vital for problem-solving and decision-making, particularly in large language models (LLMs). Evaluating LLMs’ mathematical reasoning usually focuses on the final result rather than the reasoning process intricacies. Current methodologies, like the OpenLLM leaderboard, primarily use overall accuracy, potentially overlooking logical errors or inefficient steps. Enhanced evaluation approaches are necessary to uncover underlying […]

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