
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.


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CatCode-A-Comprehensive-Evaluation-Framework-for-LLMs-on-the-Mixture-of-Code-and-Text


CatCode: A Comprehensive Evaluation Framework for LLMs on the Mixture of Code and Text


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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.



CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text
