Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

2 May 2023

Papers citing "Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation"

6 / 6 papers shown

Title
CodeGen2: Lessons for Training LLMs on Programming and Natural Languages Erik Nijkamp A. Ghobadzadeh Caiming Xiong Silvio Savarese Yingbo Zhou 75 122 0 03 May 2023
Few-shot training LLMs for project-specific code-summarization Toufique Ahmed Prem Devanbu 96 137 0 09 Jul 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 126 473 0 26 Feb 2022
Learning to Superoptimize Real-world Programs Alex Shypula Pengcheng Yin Jeremy Lacomis Claire Le Goues Edward N. Schwartz Graham Neubig NAI 50 8 0 28 Sep 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 124 1,144 0 02 Sep 2021
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 120 853 0 09 Feb 2021