On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code

6 May 2023

Papers citing "On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code"

7 / 7 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 45 1 0 05 Nov 2024
Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps David Lo 34 39 0 08 Sep 2023
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence Chaozheng Wang Yuanhang Yang Cuiyun Gao Yun Peng Hongyu Zhang Michael R. Lyu AAML 67 134 0 24 Jul 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 204 631 0 26 Feb 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Chenyu You Guosheng Lin 246 1,492 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 204 853 0 09 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018