Evaluate reward models for math reasoning
Benchmark LLMs in accuracy and translation across languages
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Request model evaluation on COCO val 2017 dataset
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Project RewardMATH is a platform designed to evaluate and benchmark reward models used for math reasoning. It focuses on assessing AI models' ability to solve mathematical problems while emphasizing correctness, logical reasoning, and efficiency. The tool is invaluable for researchers and developers aiming to refine their models' performance in mathematical problem-solving.
What makes Project RewardMATH unique?
Project RewardMATH is specifically designed for math reasoning, offering tailored benchmarks and insights that general-purpose evaluation tools cannot match.
What formats does Project RewardMATH support for input?
It supports LaTeX for math problem inputs, ensuring compatibility with standard mathematical notation.
Is Project RewardMATH available for public use?
Yes, Project RewardMATH is available for researchers and developers. Access details can be found on the official project website.