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Measures language model accuracy on mathematical reasoning tasks by prompting step-by-step solving and comparing answers against ground truth.
Distinct from Mathematical Problem Solving Toolkits: Distinct from general Mathematical Problem Solving Toolkits: focuses on evaluating LLM math ability rather than providing interactive solvers.
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This project is a language model evaluation framework and benchmarking tool designed to measure the accuracy and performance of models across diverse datasets. It provides a system for implementing model-based graders, running standardized tests for mathematical reasoning, coding, and factuality, and calculating quantified performance metrics such as precision, recall, F1 scores, and pass-at-k. The framework utilizes model-based grading and rubrics to validate response quality against expert-defined criteria. It includes a multi-model benchmarking loop and a model-agnostic API interface to co
Measures language model accuracy on mathematical reasoning tasks by prompting step-by-step solving and comparing answers against ground truth.