Structured Code Representations Enable Data-Efficient Adaptation of Code
Language Models

Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models

19 January 2024

Bailin Wang

Papers citing "Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models"

5 / 5 papers shown

Title
Scalable Multi-Domain Adaptation of Language Models using Modular Experts Peter Schafhalter Shun Liao Yanqi Zhou Chih-Kuan Yeh Arun Kandoor James Laudon MoE 16 1 0 14 Oct 2024
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning Hung Le Yue Wang Akhilesh Deepak Gotmare Silvio Savarese S. Hoi SyDa ALM 116 232 0 05 Jul 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 196 1,451 0 02 Sep 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages Baptiste Roziere Marie-Anne Lachaux Marc Szafraniec Guillaume Lample AI4CE 35 53 0 15 Feb 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 183 1,098 0 09 Feb 2021