An Exploratory Literature Study on Sharing and Energy Use of Language
Models for Source Code

An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code

5 July 2023

Max Hort

Anastasiia Grishina

Leon Moonen

Papers citing "An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code"

9 / 9 papers shown

Title
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection Hazim Hanif S. Maffeis 58 95 0 25 May 2022
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code Changan Niu Chuanyi Li Bin Luo Vincent Ng SyDa VLM 42 48 0 24 May 2022
CodeQA: A Question Answering Dataset for Source Code Comprehension Chenxiao Liu Xiaojun Wan 32 27 0 17 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 210 1,485 0 02 Sep 2021
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair Nan Jiang Thibaud Lutellier Lin Tan NAI 132 233 0 26 Feb 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages Baptiste Roziere Marie-Anne Lachaux Marc Szafraniec Guillaume Lample AI4CE 44 135 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 196 1,103 0 09 Feb 2021
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python A. Mir Evaldas Latoskinas Sebastian Proksch Georgios Gousios 90 59 0 12 Jan 2021
A Literature Study of Embeddings on Source Code Zimin Chen Monperrus Martin 43 82 0 05 Apr 2019