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Investigating the Efficacy of Large Language Models for Code Clone
  Detection

Investigating the Efficacy of Large Language Models for Code Clone Detection

24 January 2024
Mohamad Khajezade
Jie Wu
Fatemeh H. Fard
Gema Rodríguez-Pérez
Mohamed Sami Shehata
ArXivPDFHTML

Papers citing "Investigating the Efficacy of Large Language Models for Code Clone Detection"

5 / 5 papers shown
Title
A Preliminary Study of Multilingual Code Language Models for Code
  Generation Task Using Translated Benchmarks
A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks
Rohit Dandamudi
Gema Rodríguez-Pérez
ELM
79
0
0
23 Nov 2024
zsLLMCode: An Effective Approach for Code Embedding via LLM with Zero-Shot Learning
zsLLMCode: An Effective Approach for Code Embedding via LLM with Zero-Shot Learning
Zixiang Xian
Chenhui Cui
Rubing Huang
Chunrong Fang
Zhenyu Chen
31
0
0
23 Sep 2024
The Struggles of LLMs in Cross-lingual Code Clone Detection
The Struggles of LLMs in Cross-lingual Code Clone Detection
Micheline Bénédicte Moumoula
A. Kaboré
Jacques Klein
Tegawende F. Bissyande
177
1
0
08 Aug 2024
A Systematic Evaluation of Large Language Models of Code
A Systematic Evaluation of Large Language Models of Code
Frank F. Xu
Uri Alon
Graham Neubig
Vincent J. Hellendoorn
ELM
ALM
204
633
0
26 Feb 2022
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu
Daya Guo
Shuo Ren
Junjie Huang
Alexey Svyatkovskiy
...
Nan Duan
Neel Sundaresan
Shao Kun Deng
Shengyu Fu
Shujie Liu
ELM
204
853
0
09 Feb 2021
1