Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1803.09473
Cited By
code2vec: Learning Distributed Representations of Code
26 March 2018
Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
Re-assign community
ArXiv
PDF
HTML
Papers citing
"code2vec: Learning Distributed Representations of Code"
50 / 141 papers shown
Title
Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions
Muntasir Hoq
Ananya Rao
Reisha Jaishankar
Krish Piryani
Nithya Janapati
Jessica Vandenberg
Bradford Mott
Narges Norouzi
James Lester
Bita Akram
12
0
0
16 May 2025
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models
M. Wong
C. Tan
ALM
83
4
0
19 Mar 2025
Poisoned Source Code Detection in Code Models
Ehab Ghannoum
Mohammad Ghafari
AAML
69
0
0
19 Feb 2025
Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art
Ilias Azizi
Karima Echihabi
Themis Palpanas
57
5
0
08 Feb 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
91
1
0
22 Jan 2025
Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing
Akash Dhruv
Anshu Dubey
24
1
0
31 Oct 2024
Do Current Language Models Support Code Intelligence for R Programming Language?
ZiXiao Zhao
Fatemeh H. Fard
ELM
50
0
0
10 Oct 2024
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis
Zongyue Qin
Yunsheng Bai
Atefeh Sohrabizadeh
Zijian Ding
Ziniu Hu
Yizhou Sun
Jason Cong
31
2
0
13 Jun 2024
ChatGPT Code Detection: Techniques for Uncovering the Source of Code
Marc Oedingen
Raphael C. Engelhardt
Robin Denz
Maximilian Hammer
Wolfgang Konen
DeLMO
50
9
0
24 May 2024
Stable Code Technical Report
Nikhil Pinnaparaju
Reshinth Adithyan
Duy Phung
J. Tow
James Baicoianu
...
Maksym Zhuravinskyi
Dakota Mahan
Marco Bellagente
Carlos Riquelme
Nathan Cooper
LRM
ALM
25
13
0
01 Apr 2024
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks
B.K. Casey
Joanna C. S. Santos
George Perry
63
5
0
15 Mar 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
47
21
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
34
1
0
22 Nov 2023
Sparse Attention-Based Neural Networks for Code Classification
Ziyang Xiang
Zaixin Zhang
Qi Liu
12
0
0
11 Nov 2023
Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps
David Lo
34
39
0
08 Sep 2023
Large Language Models Should Ask Clarifying Questions to Increase Confidence in Generated Code
Jiexi Wu
28
3
0
25 Aug 2023
kTrans: Knowledge-Aware Transformer for Binary Code Embedding
Wenyu Zhu
Hao Wang
Yuchen Zhou
Jiaming Wang
Zihan Sha
Zeyu Gao
Chao Zhang
32
10
0
24 Aug 2023
Automated Testing and Improvement of Named Entity Recognition Systems
Boxi Yu
Yi-Nuo Hu
Qiuyang Mang
Wen-Ying Hu
Pinjia He
25
6
0
14 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
44
78
0
04 Jul 2023
Neural Machine Translation for Code Generation
K. Dharma
Clayton T. Morrison
32
4
0
22 May 2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation
Yunsheng Bai
Atefeh Sohrabizadeh
Zongyue Qin
Ziniu Hu
Yizhou Sun
Jason Cong
26
1
0
18 May 2023
Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification
Guang Yang
Tiancheng Jin
Liang Dou
30
2
0
07 May 2023
Semantic Compression With Large Language Models
Henry Gilbert
Michael Sandborn
Douglas C. Schmidt
Jesse Spencer-Smith
Jules White
22
22
0
25 Apr 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
xASTNN: Improved Code Representations for Industrial Practice
Zhiwei Xu
Min Zhou
Xibin Zhao
Yang Chen
Xi Cheng
Hongyu Zhang
AI4TS
29
5
0
13 Mar 2023
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code
Aftab Hussain
Md Rafiqul Islam Rabin
Bowen Xu
David Lo
Mohammad Amin Alipour
42
3
0
08 Mar 2023
Demystifying What Code Summarization Models Learned
Yu Wang
Ke Wang
17
0
0
04 Mar 2023
ML-driven Hardware Cost Model for MLIR
Dibyendu Das
Sandya Mannarswamy
29
0
0
14 Feb 2023
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code
Shuyan Zhou
Uri Alon
Sumit Agarwal
Graham Neubig
ELM
ALM
40
103
0
10 Feb 2023
Stealthy Backdoor Attack for Code Models
Zhou Yang
Bowen Xu
Jie M. Zhang
Hong Jin Kang
Jieke Shi
Junda He
David Lo
AAML
26
65
0
06 Jan 2023
JEMMA: An Extensible Java Dataset for ML4Code Applications
Anjan Karmakar
Miltiadis Allamanis
Romain Robbes
VLM
29
3
0
18 Dec 2022
An Empirical Study of Deep Learning Models for Vulnerability Detection
Benjamin Steenhoek
Md. Mahbubur Rahman
Richard Jiles
Wei Le
ELM
AAML
38
79
0
15 Dec 2022
DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode
Tiezhu Sun
Kevin Allix
Kisub Kim
Xin Zhou
Dongsun Kim
David Lo
Tegawende F. Bissyande
Jacques Klein
29
12
0
12 Dec 2022
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation
O. Sýkora
P. Phothilimthana
Charith Mendis
Amir Yazdanbakhsh
GNN
45
21
0
08 Oct 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
Zeming Dong
Qiang Hu
Yuejun Guo
Maxime Cordy
Mike Papadakis
Zhenya Zhang
Yves Le Traon
Jianjun Zhao
33
8
0
06 Oct 2022
TAG: Learning Circuit Spatial Embedding From Layouts
Keren Zhu
Hao Chen
Walker J. Turner
George Kokai
Po-Hsuan Wei
David Z. Pan
Haoxing Ren
23
13
0
07 Sep 2022
Project proposal: A modular reinforcement learning based automated theorem prover
Boris Shminke
26
1
0
06 Sep 2022
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness
Haoye Tian
Xunzhu Tang
Andrew Habib
Shangwen Wang
Kui Liu
Xin Xia
Jacques Klein
Tegawende F. Bissyande
46
25
0
08 Aug 2022
CSSAM:Code Search via Attention Matching of Code Semantics and Structures
Yitao Hu
Bowen Cai
Yaoxiang Yu
23
3
0
08 Aug 2022
Taming Multi-Output Recommenders for Software Engineering
Christoph Treude
46
4
0
31 Jul 2022
PanGu-Coder: Program Synthesis with Function-Level Language Modeling
Fenia Christopoulou
Gerasimos Lampouras
Milan Gritta
Guchun Zhang
Yinpeng Guo
...
Guangtai Liang
Jia Wei
Xin Jiang
Qianxiang Wang
Qun Liu
ELM
SyDa
ALM
45
74
0
22 Jul 2022
Enhancing Security Patch Identification by Capturing Structures in Commits
Bozhi Wu
Shangqing Liu
Ruitao Feng
Xiaofei Xie
J. Siow
Shang-Wei Lin
30
30
0
19 Jul 2022
MLGOPerf: An ML Guided Inliner to Optimize Performance
Amir H. Ashouri
Mostafa Elhoushi
Yu-Wei Hua
Xiang Wang
Muhammad Asif Manzoor
Bryan Chan
Yaoqing Gao
31
13
0
18 Jul 2022
Test2Vec: An Execution Trace Embedding for Test Case Prioritization
E. Jabbar
Soheila Zangeneh
Hadi Hemmati
R. Feldt
54
5
0
28 Jun 2022
CodeS: Towards Code Model Generalization Under Distribution Shift
Qiang Hu
Yuejun Guo
Xiaofei Xie
Maxime Cordy
Lei Ma
Mike Papadakis
Yves Le Traon
OOD
39
10
0
11 Jun 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
Learning to Reverse DNNs from AI Programs Automatically
Simin Chen
Hamed Khanpour
Cong Liu
Wei Yang
35
15
0
20 May 2022
AEON: A Method for Automatic Evaluation of NLP Test Cases
Jen-tse Huang
Jianping Zhang
Wenxuan Wang
Pinjia He
Yuxin Su
Michael R. Lyu
45
23
0
13 May 2022
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors
Renyu Zhu
Lei Yuan
Xiang Li
Ming Gao
Wenyuan Cai
29
8
0
10 May 2022
1
2
3
Next