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CodeSift: An LLM-Based Reference-Less Framework for Automatic Code Validation

Published in arXiv (Cornell University) • Aug 28, 2024
NobleIDNI0P31W03R73S69
Authors:
Pooja Aggarwal
,
Oishik Chatterjee
,
Ting Dai

Abstract

The advent of large language models (LLMs) has greatly facilitated code generation, but ensuring the functional correctness of generated code remains a challenge. Traditional validation methods are often time-consuming, error-prone, and impractical for large volumes of code. We introduce CodeSift, a...

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