Investigating the Efficacy of Large Language Models for Code Clone Detection. (arXiv:2401.13802v3 [cs.SE] UPDATED)

Large Language Models (LLMs) have demonstrated remarkable success in various
natural language processing and software engineering tasks, such as code
generation. The LLMs are mainly utilized in the prompt-based zero/few-shot
paradigm to guide the model in accomplishing the task. GPT-based models are one
of the popular ones studied for tasks such as code comment generation or test
generation. These tasks are `generative' tasks. However, there is limited
research on the usage of LLMs for `non-generative' tasks such as classification
using …

arxiv code code generation cs.se detection engineering few-shot gpt guide language language models language processing large language large language models llms natural natural language natural language processing paradigm popular processing prompt software software engineering success tasks the prompt