Framework for evaluating code generation ability of large language models

Large language models (LLMs) have revolutionized various applications in natural language processing and exhibited proficiency in generating programming code. We propose a framework for evaluating the code generation ability of LLMs and introduce a new metric, pass-ratio@n, which captures the granul...

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Bibliographic Details
Main Authors: Sangyeop Yeo, Yu-Seung Ma, Sang Cheol Kim, Hyungkook Jun, Taeho Kim
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2024-02-01
Series:ETRI Journal
Subjects:
Online Access:https://doi.org/10.4218/etrij.2023-0357