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Image Credit: Arxiv

LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs

  • Large language models (LLMs) show impressive capabilities in mathematical reasoning.
  • A new benchmark called Mathematical Topics Tree (MaTT) is introduced to evaluate LLMs on comprehensive mathematical subjects.
  • GPT-4, the most advanced LLM, achieved only 54% accuracy in the multiple-choice scenario of the MaTT benchmark.
  • LLMs' performance varied significantly across different mathematical topics, and their explanations were deemed incomplete or inaccurate in many instances.

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