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CatCode: A Comprehensive Evaluation Framework for LLMs on the Mixture of Code and Text
The author proposes CatCode, a framework based on category theory, to comprehensively assess the coding abilities of Large Language Models (LLMs) in understanding and generating a mixture of code and text.
CatCode: A Comprehensive Evaluation Framework for LLMs on the Mixture of Code and Text
Category theory provides a comprehensive framework for evaluating LLMs' coding abilities, addressing limitations in current evaluation methods.
CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text
CatCode provides a comprehensive evaluation framework for LLMs, focusing on code understanding and generation.