A Convolutional Attention Network for Extreme Summarization of Source Code

9 February 2016

Hao Peng

Papers citing "A Convolutional Attention Network for Extreme Summarization of Source Code"

50 / 85 papers shown

Title
Bringing Structure to Naturalness: On the Naturalness of ASTs Profir-Petru Pârţachi Mahito Sugiyama 30 0 0 11 Apr 2025
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We? Taiming Wang Yuxia Zhang Lin Jiang Yi Tang Guangjie Li Hui Liu 88 1 0 22 Jan 2025
Do Current Language Models Support Code Intelligence for R Programming Language? ZiXiao Zhao Fatemeh H. Fard ELM 47 0 0 10 Oct 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit Yao Wan Yang He Zhangqian Bi Jianguo Zhang Hongyu Zhang Yulei Sui Guandong Xu Hai Jin Philip S. Yu 43 20 0 30 Dec 2023
Transfer Attacks and Defenses for Large Language Models on Coding Tasks Chi Zhang Zifan Wang Ravi Mangal Matt Fredrikson Limin Jia Corina S. Pasareanu AAML SILM 29 1 0 22 Nov 2023
Epicure: Distilling Sequence Model Predictions into Patterns Miltiadis Allamanis Earl T. Barr 18 0 0 16 Aug 2023
AST-MHSA : Code Summarization using Multi-Head Self-Attention Y. Nagaraj U. Gupta 25 1 0 10 Aug 2023
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review M. Wong Shangxin Guo Ching Nam Hang Siu-Wai Ho C. Tan 42 78 0 04 Jul 2023
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models Kechi Zhang Zhuo Li Zhi Jin Ge Li 34 7 0 14 Mar 2023
What are the Machine Learning best practices reported by practitioners on Stack Exchange? Anamaria Mojica-Hanke A. Bayona Mario Linares-Vásquez Steffen Herbold Fabio A. González HAI 27 6 0 25 Jan 2023
HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding Shi Wang Daniel Tang Luchen Zhang Huilin Li Ding-Jung Han 24 10 0 09 Dec 2022
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks Yang Shi Min Chi Tiffany Barnes T. Price AI4Ed 37 24 0 07 Jun 2022
Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora An Dau Thang Nguyen-Duc Hoang Thanh-Tung Nghi D. Q. Bui TDI 13 4 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 55 47 0 24 May 2022
Descartes: Generating Short Descriptions of Wikipedia Articles Marija Sakota Maxime Peyrard Robert West VLM 20 2 0 20 May 2022
On Distribution Shift in Learning-based Bug Detectors Jingxuan He Luca Beurer-Kellner Martin Vechev 24 18 0 21 Apr 2022
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages Zhiruo Wang Grace Cuenca Shuyan Zhou Frank F. Xu Graham Neubig 29 50 0 16 Mar 2022
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective Erfan Al-Hossami Samira Shaikh 32 6 0 10 Feb 2022
Multilingual training for Software Engineering Toufique Ahmed Prem Devanbu 70 73 0 03 Dec 2021
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code Md Rafiqul Islam Rabin Mohammad Amin Alipour 27 5 0 01 Nov 2021
A Survey on Machine Learning Techniques for Source Code Analysis Tushar Sharma M. Kechagia Stefanos Georgiou Rohit Tiwari Indira Vats Hadi Moazen Federica Sarro 25 61 0 18 Oct 2021
Learning to Describe Solutions for Bug Reports Based on Developer Discussions Sheena Panthaplackel Junjie Li Miloš Gligorić Raymond J. Mooney LMTD 24 10 0 08 Oct 2021
Impact of Evaluation Methodologies on Code Summarization Pengyu Nie Jiyang Zhang Junyi Jessy Li Raymond J. Mooney Miloš Gligorić 24 19 0 22 Aug 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 35 19 0 23 Jul 2021
On the Evaluation of Neural Code Summarization Ensheng Shi Yanlin Wang Lun Du Junjie Chen Shi Han Hongyu Zhang Dongmei Zhang Hongbin Sun ELM 122 86 0 15 Jul 2021
Toward Less Hidden Cost of Code Completion with Acceptance and Ranking Models Jingxuan Li Rui Huang Wei Li Kai-Lang Yao Weiguo Tan 29 14 0 26 Jun 2021
Understanding Neural Code Intelligence Through Program Simplification Md Rafiqul Islam Rabin Vincent J. Hellendoorn Mohammad Amin Alipour AAML 49 58 0 07 Jun 2021
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach Rui Xie Wei Ye Jinan Sun Shikun Zhang 28 26 0 21 Mar 2021
Attention-based model for predicting question relatedness on Stack Overflow Jiayan Pei Yimin Wu Zishan Qin Yao Cong Jingtao Guan 22 14 0 19 Mar 2021
API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations Ramin Shahbazi Rishab Sharma Fatemeh H. Fard 24 25 0 19 Mar 2021
Generating Adversarial Computer Programs using Optimized Obfuscations Shashank Srikant Sijia Liu Tamara Mitrovska Shiyu Chang Quanfu Fan Gaoyuan Zhang Una-May O’Reilly AAML 24 43 0 18 Mar 2021
Unified Pre-training for Program Understanding and Generation Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang 41 749 0 10 Mar 2021
Learning to Make Compiler Optimizations More Effective Rahim Mammadli Marija Selakovic F. Wolf Michael Pradel 21 13 0 24 Feb 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages Baptiste Roziere Marie-Anne Lachaux Marc Szafraniec Guillaume Lample AI4CE 52 137 0 15 Feb 2021
Code Summarization with Structure-induced Transformer Hongqiu Wu Hai Zhao Min Zhang 41 84 0 29 Dec 2020
Learning to Represent Programs with Heterogeneous Graphs Kechi Zhang Wenhan Wang Huangzhao Zhang Ge Li Zhi Jin GNN 21 63 0 08 Dec 2020
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization Sahil Suneja Yunhui Zheng Yufan Zhuang Jim Laredo Alessandro Morari AAML 32 32 0 25 Nov 2020
ReAssert: Deep Learning for Assert Generation Robert White J. Krinke 26 14 0 19 Nov 2020
Neural Software Analysis Michael Pradel S. Chandra NAI 28 31 0 16 Nov 2020
Pointing to Subwords for Generating Function Names in Source Code Shogo Fujita Hidetaka Kamigaito Hiroya Takamura Manabu Okumura 19 2 0 09 Nov 2020
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 26 111 0 14 Sep 2020
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 30 90 0 31 Jul 2020
Copy that! Editing Sequences by Copying Spans Sheena Panthaplackel Miltiadis Allamanis Marc Brockschmidt BDL 21 28 0 08 Jun 2020
A Structural Model for Contextual Code Changes Shaked Brody Uri Alon Eran Yahav KELM 24 7 0 27 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 35 2,658 0 02 May 2020
A Transformer-based Approach for Source Code Summarization Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang ViT 16 375 0 01 May 2020
Learning to Update Natural Language Comments Based on Code Changes Sheena Panthaplackel Pengyu Nie Miloš Gligorić Junyi Jessy Li Raymond J. Mooney 32 63 0 25 Apr 2020
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation Rhys Compton E. Frank Panos Patros Abigail M. Y. Koay 19 62 0 06 Apr 2020
OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints Irene Vlassi Pandi Earl T. Barr Andrew D. Gordon Charles Sutton 22 29 0 01 Apr 2020
Code Prediction by Feeding Trees to Transformers Seohyun Kim Jinman Zhao Yuchi Tian S. Chandra 40 216 0 30 Mar 2020