Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study

24 April 2023

Papers citing "Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study"

4 / 4 papers shown

Title
GitChameleon: Unmasking the Version-Switching Capabilities of Code Generation Models Nizar Islah Justine Gehring Diganta Misra Eilif B. Muller Irina Rish Terry Yue Zhuo Massimo Caccia SyDa 40 1 0 05 Nov 2024
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries Ali Al-Kaswan Toufique Ahmed M. Izadi A. Sawant Prem Devanbu A. van Deursen SyDa 98 32 0 04 Jan 2023
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 235 1,489 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 198 1,105 0 09 Feb 2021