SCELMo: Source Code Embeddings from Language Models

28 April 2020

Papers citing "SCELMo: Source Code Embeddings from Language Models"

9 / 9 papers shown

Title
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code Changan Niu Chuanyi Li Bin Luo Vincent Ng SyDa VLM 55 48 0 24 May 2022
An Exploratory Study on Code Attention in BERT Rishab Sharma Fuxiang Chen Fatemeh H. Fard David Lo 27 25 0 05 Apr 2022
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition Rishab Sharma Fuxiang Chen Fatemeh H. Fard 50 2 0 05 Apr 2022
AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees Rong Liang Tiehu Zhang Y. Lu Yuze Liu Zhengqing Huang Xin Chen 16 3 0 20 Jan 2022
DeepMutants: Training neural bug detectors with contextual mutations Cedric Richter Heike Wehrheim 24 3 0 14 Jul 2021
Recommending Metamodel Concepts during Modeling Activities with Pre-Trained Language Models Martin Weyssow H. Sahraoui Eugene Syriani 16 50 0 04 Apr 2021
GraphCodeBERT: Pre-training Code Representations with Data Flow Daya Guo Shuo Ren Shuai Lu Zhangyin Feng Duyu Tang ... Dawn Drain Neel Sundaresan Jian Yin Daxin Jiang M. Zhou 88 1,094 0 17 Sep 2020
CoreGen: Contextualized Code Representation Learning for Commit Message Generation L. Nie Cuiyun Gao Zhicong Zhong Wai Lam Yang Liu Zenglin Xu 29 46 0 14 Jul 2020
A Literature Study of Embeddings on Source Code Zimin Chen Monperrus Martin 49 82 0 05 Apr 2019