Code Prediction by Feeding Trees to Transformers

30 March 2020

Papers citing "Code Prediction by Feeding Trees to Transformers"

24 / 24 papers shown

Title
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection Shenao Yan Shen Wang Yue Duan Hanbin Hong Kiho Lee Doowon Kim Yuan Hong AAML SILM 35 16 0 10 Jun 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 20 20 0 30 Dec 2023
Towards Trustworthy AI Software Development Assistance Daniel Maninger Krishna Narasimhan Mira Mezini 14 3 0 14 Dec 2023
A Lightweight Framework for High-Quality Code Generation Mohammed Latif Siddiq B.K. Casey Joanna C. S. Santos 31 17 0 17 Jul 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 28 78 0 04 Jul 2023
AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluation V. Murali C. Maddila Imad Ahmad Michael Bolin Daniel Cheng Negar Ghorbani Renuka Fernandez Nachiappan Nagappan Peter C. Rigby 11 14 0 20 May 2023
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models Kechi Zhang Zhuo Li Zhi Jin Ge Li 18 6 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 19 6 0 25 Jan 2023
Neural Transition-based Parsing of Library Deprecations Petr Babkin Nacho Navarro Salwa Alamir Sameena Shah MU 8 1 0 23 Dec 2022
Towards Practical Few-shot Federated NLP Dongqi Cai Yaozong Wu Haitao Yuan Shangguang Wang F. Lin Mengwei Xu FedML 19 6 0 01 Dec 2022
Syntax-Aware On-the-Fly Code Completion Wannita Takerngsaksiri C. Tantithamthavorn Yuankui Li 16 17 0 09 Nov 2022
StructCoder: Structure-Aware Transformer for Code Generation Sindhu Tipirneni Ming Zhu Chandan K. Reddy 19 55 0 10 Jun 2022
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training Xin Wang Yasheng Wang Yao Wan Jiawei Wang Pingyi Zhou Li Li Hao Wu Jin Liu 11 33 0 04 May 2022
Compilable Neural Code Generation with Compiler Feedback Xin Wang Yasheng Wang Yao Wan Fei Mi Yitong Li Pingyi Zhou Jin Liu Hao Wu Xin Jiang Qun Liu 15 65 0 10 Mar 2022
Better Together? An Evaluation of AI-Supported Code Translation Justin D. Weisz Michael J. Muller Steven I. Ross Fernando Martinez Stephanie Houde Mayank Agarwal Kartik Talamadupula John T. Richards 29 67 0 15 Feb 2022
Cross-Language Binary-Source Code Matching with Intermediate Representations Yi Gui Yao Wan Hongyu Zhang Huifang Huang Yulei Sui Guandong Xu Zhiyuan Shao Hai Jin 18 31 0 19 Jan 2022
On Multi-Modal Learning of Editing Source Code Saikat Chakraborty Baishakhi Ray KELM 8 58 0 15 Aug 2021
Learning to Complete Code with Sketches Daya Guo Alexey Svyatkovskiy Jian Yin Nan Duan Marc Brockschmidt Miltiadis Allamanis 11 40 0 18 Jun 2021
How could Neural Networks understand Programs? Dinglan Peng Shuxin Zheng Yatao Li Guolin Ke Di He Tie-Yan Liu NAI 13 61 0 10 May 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs Yanlin Wang Hui Li 8 84 0 17 Mar 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
Neural Software Analysis Michael Pradel S. Chandra NAI 19 31 0 16 Nov 2020
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 24 1,085 0 17 Sep 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 35 97 0 07 Feb 2020