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CodeBERT: A Pre-Trained Model for Programming and Natural Languages

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

19 February 2020
Zhangyin Feng
Daya Guo
Duyu Tang
Nan Duan
Xiaocheng Feng
Ming Gong
Linjun Shou
Bing Qin
Ting Liu
Daxin Jiang
Ming Zhou
ArXivPDFHTML

Papers citing "CodeBERT: A Pre-Trained Model for Programming and Natural Languages"

50 / 221 papers shown
Title
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
Yifeng Di
Tianyi Zhang
23
0
0
12 May 2025
Synthetic Code Surgery: Repairing Bugs and Vulnerabilities with LLMs and Synthetic Data
Synthetic Code Surgery: Repairing Bugs and Vulnerabilities with LLMs and Synthetic Data
David de-Fitero-Dominguez
Antonio Garcia-Cabot
Eva García-López
SyDa
58
0
0
12 May 2025
An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding
An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding
Xiuwei Shang
Zhenkan Fu
Shaoyin Cheng
Guoqiang Chen
Gangyang Li
Li Hu
W. Zhang
N. Yu
62
0
0
30 Apr 2025
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks
Kang Yang
Xinjun Mao
Shangwen Wang
Y. Wang
Tanghaoran Zhang
Bo Lin
Yihao Qin
Zhang Zhang
Yao Lu
Kamal Al-Sabahi
ALM
108
1
0
28 Apr 2025
Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge
Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge
Wenhan Mu
Ling Xu
Shuren Pei
Le Mi
Huichi Zhou
AAML
ELM
53
0
0
28 Apr 2025
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
Seyed Shayan Daneshvar
Da Tan
Shaowei Wang
Carson Leung
AAML
69
0
0
22 Apr 2025
Generating Planning Feedback for Open-Ended Programming Exercises with LLMs
Generating Planning Feedback for Open-Ended Programming Exercises with LLMs
Mehmet Arif Demirtaş
Claire Zheng
Max Fowler
Kathryn Cunningham
LRM
29
1
0
11 Apr 2025
DocAgent: A Multi-Agent System for Automated Code Documentation Generation
DocAgent: A Multi-Agent System for Automated Code Documentation Generation
Dayu Yang
Antoine Simoulin
Xin Qian
Xiaoyi Liu
Yuwei Cao
Zhaopu Teng
Grey Yang
LLMAG
54
0
0
11 Apr 2025
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
Roman Kochnev
Arash Torabi Goodarzi
Zofia Antonina Bentyn
D. Ignatov
Radu Timofte
48
2
0
08 Apr 2025
Enhancing Code LLM Training with Programmer Attention
Enhancing Code LLM Training with Programmer Attention
Y. Zhang
Chen Huang
Z. Karas
Dung T. Nguyen
Kevin Leach
Yu Huang
70
0
0
19 Mar 2025
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models
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
Unveiling Pitfalls: Understanding Why AI-driven Code Agents Fail at GitHub Issue Resolution
Unveiling Pitfalls: Understanding Why AI-driven Code Agents Fail at GitHub Issue Resolution
Zhi Chen
Wei Ma
Lingxiao Jiang
LLMAG
51
0
0
16 Mar 2025
OASIS: Order-Augmented Strategy for Improved Code Search
Zuchen Gao
Zizheng Zhan
Xianming Li
Erxin Yu
Haotian Zhang
Bin Chen
Yuqun Zhang
Jing Li
58
0
0
11 Mar 2025
From Idea to Implementation: Evaluating the Influence of Large Language Models in Software Development -- An Opinion Paper
From Idea to Implementation: Evaluating the Influence of Large Language Models in Software Development -- An Opinion Paper
Sargam Yadav
Asifa Mehmood Qureshi
Abhishek Kaushik
Shubham Sharma
Roisin Loughran
...
. Nikhil Singh
Padraic O'Hara
Pranay Jaiswal
Roshan Chandru
David Lillis
56
1
0
10 Mar 2025
PennyLang: Pioneering LLM-Based Quantum Code Generation with a Novel PennyLane-Centric Dataset
PennyLang: Pioneering LLM-Based Quantum Code Generation with a Novel PennyLane-Centric Dataset
Haider Asif
Abdul Basit
Nouhaila Innan
Muhammad Kashif
Alberto Marchisio
Muhammad Shafique
Muhammad Shafique
72
1
0
04 Mar 2025
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
Seonghyeon Lee
Heejae Chon
Joonwon Jang
Dongha Lee
Hwanjo Yu
ALM
39
0
0
02 Mar 2025
Detecting Code Vulnerabilities with Heterogeneous GNN Training
Detecting Code Vulnerabilities with Heterogeneous GNN Training
Yu Luo
Weifeng Xu
Dianxiang Xu
41
0
0
24 Feb 2025
Navigation-GPT: A Robust and Adaptive Framework Utilizing Large Language Models for Navigation Applications
Navigation-GPT: A Robust and Adaptive Framework Utilizing Large Language Models for Navigation Applications
Feng Ma
X. Wang
Chen Chen
Xiao-bin Xu
Xin-ping Yan
90
0
0
23 Feb 2025
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
Thanh Le-Cong
Bach Le
Toby Murray
LRM
44
1
0
22 Feb 2025
Poisoned Source Code Detection in Code Models
Poisoned Source Code Detection in Code Models
Ehab Ghannoum
Mohammad Ghafari
AAML
63
0
0
19 Feb 2025
UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code Generation
UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code Generation
Liangying Shao
Yanfu Yan
Denys Poshyvanyk
Jinsong Su
36
1
0
18 Feb 2025
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation
Reza Moravej
Saurabh Bodhe
Zhanguang Zhang
Didier Chetelat
Dimitrios Tsaras
Yingxue Zhang
Hui-Ling Zhen
Jianye Hao
M. Yuan
50
1
0
17 Feb 2025
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
Felix Weissberg
Jonas Moller
Tom Ganz
Erik Imgrund
Lukas Pirch
Lukas Seidel
Moritz Schloegel
Thorsten Eisenhofer
Konrad Rieck
99
3
0
12 Feb 2025
TCProF: Time-Complexity Prediction SSL Framework
TCProF: Time-Complexity Prediction SSL Framework
Joonghyuk Hahn
Hyeseon Ahn
Jungin Kim
Soohan Lim
Yo-Sub Han
37
0
0
10 Feb 2025
Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End"
Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End"
Francesco Sovrano
Adam Bauer
Alberto Bacchelli
49
0
0
09 Feb 2025
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
Md. Ashraful Islam
Mohammed Eunus Ali
Md. Rizwan Parvez
LLMAG
66
2
0
08 Feb 2025
Can Large Language Models Understand Intermediate Representations?
Can Large Language Models Understand Intermediate Representations?
Hailong Jiang
Jianfeng Zhu
Yao Wan
B. Fang
Hongyu Zhang
Ruoming Jin
Qiang Guan
50
1
0
07 Feb 2025
Towards Making Flowchart Images Machine Interpretable
Towards Making Flowchart Images Machine Interpretable
S. Kamath S
Prajwal Gatti
Yogesh Kumar
Vikash Yadav
Anand Mishra
53
5
0
29 Jan 2025
From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models
Zexing Xu
Zhuang Luo
Yichuan Li
Kyumin Lee
S. Rasoul Etesami
38
0
0
28 Jan 2025
Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
Xing Zhang
Jiaheng Wen
Fangkai Yang
Pu Zhao
Yu Kang
...
Qingwei Lin
Yingnong Dang
Saravan Rajmohan
Dongmei Zhang
Qi Zhang
53
2
0
28 Jan 2025
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We?
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We?
Taiming Wang
Yuxia Zhang
Lin Jiang
Yi Tang
Guangjie Li
Hui Liu
83
1
0
22 Jan 2025
Knowledge Tracing in Programming Education Integrating Students' Questions
Knowledge Tracing in Programming Education Integrating Students' Questions
Doyoun Kim
Suin Kim
Yojan Jo
AI4Ed
26
0
0
22 Jan 2025
NL2KQL: From Natural Language to Kusto Query
NL2KQL: From Natural Language to Kusto Query
Amir H. Abdi
Xinye Tang
Jeremias Eichelbaum
Mahan Das
Alex Klein
...
William Blum
Daniel L Mace
Tanvi Raja
Namrata Padmanabhan
Ye Xing
60
2
0
20 Jan 2025
LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation
LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation
Ziyao Zhang
Yanlin Wang
Chong Wang
Jiachi Chen
Zibin Zheng
114
14
0
20 Jan 2025
Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection
Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection
S M Mostaq Hossain
Amani Altarawneh
Jesse Roberts
28
0
0
04 Jan 2025
Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey
Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey
Junqiao Wang
Zeng Zhang
Yangfan He
Yuyang Song
Tianyu Shi
...
Hengyuan Xu
Kunyu Wu
Guangwu Qian
Qiuwu Chen
Lewei He
38
9
0
03 Jan 2025
Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification
Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification
Kyle Thompson
Nuno Saavedra
Pedro Carrott
Kevin Fisher
Alex Sanchez-Stern
Yuriy Brun
J. Ferreira
Sorin Lerner
E. First
LRM
100
1
0
18 Dec 2024
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code?
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code?
D. Cotroneo
F. C. Grasso
R. Natella
V. Orbinato
74
0
0
10 Dec 2024
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Siming Huang
Tianhao Cheng
J.K. Liu
Jiaran Hao
L. Song
...
Ge Zhang
Zili Wang
Yuan Qi
Yinghui Xu
Wei Chu
ALM
75
17
0
07 Nov 2024
MdEval: Massively Multilingual Code Debugging
MdEval: Massively Multilingual Code Debugging
Shukai Liu
Linzheng Chai
Jian Yang
Jiajun Shi
He Zhu
...
Yu Hao
Liqun Yang
Guanglin Niu
Ge Zhang
Z. Li
LRM
ELM
70
6
0
04 Nov 2024
Human-inspired Perspectives: A Survey on AI Long-term Memory
Human-inspired Perspectives: A Survey on AI Long-term Memory
Zihong He
Weizhe Lin
Hao Zheng
Fan Zhang
Matt Jones
Laurence Aitchison
X. Xu
Miao Liu
Per Ola Kristensson
Junxiao Shen
77
2
0
01 Nov 2024
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system
Zeyuan Li
Yangfan He
Lewei He
Jianhui Wang
Tianyu Shi
Bin Lei
Yuchen Li
Qiuwu Chen
ALM
56
5
0
28 Oct 2024
Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework
Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework
Yuchen Wang
Shangxin Guo
C. Tan
32
0
0
20 Oct 2024
Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience Replay
Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience Replay
Yuyang Chen
Kaiyan Zhao
Yiming Wang
Ming Yang
Jian Zhang
Xiaoguang Niu
25
1
0
16 Oct 2024
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization
Yuqing Nie
Chong Wang
K. Wang
Guoai Xu
Guosheng Xu
Haoyu Wang
OffRL
98
0
0
11 Oct 2024
Do Current Language Models Support Code Intelligence for R Programming Language?
Do Current Language Models Support Code Intelligence for R Programming Language?
Zixiao Zhao
Fatemeh H. Fard
ELM
42
0
0
10 Oct 2024
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
Jiale Fu
Yaqing Wang
Simeng Han
Jiaming Fan
Chen Si
28
1
0
03 Oct 2024
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data
Weizhou Wang
Eric Liu
Xiangyu Guo
Xiao Hu
Ilya Grishchenko
David Lie
28
1
0
28 Aug 2024
Can Developers Prompt? A Controlled Experiment for Code Documentation
  Generation
Can Developers Prompt? A Controlled Experiment for Code Documentation Generation
L. Herrmann
Tim Puhlfürß
Felix Dietrich
32
3
0
01 Aug 2024
SCoPE: Evaluating LLMs for Software Vulnerability Detection
SCoPE: Evaluating LLMs for Software Vulnerability Detection
José Gonccalves
Tiago Dias
Eva Maia
Isabel Praça
34
5
0
19 Jul 2024
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