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2003.13848
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Code Prediction by Feeding Trees to Transformers
International Conference on Software Engineering (ICSE), 2020
30 March 2020
Seohyun Kim
Jinman Zhao
Yuchi Tian
S. Chandra
Re-assign community
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Papers citing
"Code Prediction by Feeding Trees to Transformers"
50 / 69 papers shown
The Fools are Certain; the Wise are Doubtful: Exploring LLM Confidence in Code Completion
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Egor Bogomolov
Arie van Deursen
Maliheh Izadi
193
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MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions
Pucheng Dang
Di Huang
Dong Li
Kang Chen
Yuanbo Wen
Qi Guo
Xing Hu
445
1
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13 Apr 2025
ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding
International Conference on Learning Representations (ICLR), 2025
Indraneil Paul
Haoyi Yang
Goran Glavaš
Kristian Kersting
Iryna Gurevych
AAML
SyDa
282
3
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27 Mar 2025
LLM-Aided Customizable Profiling of Code Data Based On Programming Language Concepts
Pankaj Thorat
Adnan Qidwai
Adrija Dhar
Aishwariya Chakraborty
Anand Eswaran
Hima Patel
Praveen Jayachandran
320
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19 Mar 2025
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation
Jinjun Peng
Leyi Cui
Kele Huang
Junfeng Yang
Baishakhi Ray
ELM
405
54
0
14 Jan 2025
A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models
Beatrice Casey
Joanna C. S. Santos
Mehdi Mirakhorli
CVBM
264
9
0
06 Oct 2024
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
271
58
0
10 Jun 2024
Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion
Wei Cheng
Yuhan Wu
Wei Hu
240
49
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30 May 2024
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach
Yao Wan
Guanghua Wan
Shijie Zhang
Hongyu Zhang
Yulei Sui
Pan Zhou
Hai Jin
Lichao Sun
328
12
0
22 Apr 2024
Language Models for Code Completion: A Practical Evaluation
Maliheh Izadi
Jonathan Katzy
Tim van Dam
Marc Otten
R. Popescu
Arie van Deursen
ALM
ELM
217
81
0
25 Feb 2024
Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions
Auste Simkute
Lev Tankelevitch
Viktor Kewenig
A. E. Scott
Abigail Sellen
Sean Rintel
235
73
0
17 Feb 2024
Multi-line AI-assisted Code Authoring
Omer Dunay
Daniel Cheng
Adam Tait
Parth Thakkar
Peter C. Rigby
...
Arun Ganesan
C. Maddila
V. Murali
Ali Tayyebi
Nachiappan Nagappan
KELM
346
25
0
06 Feb 2024
Calibration and Correctness of Language Models for Code
Claudio Spiess
David Gros
Kunal Suresh Pai
Michael Pradel
Md Rafiqul Islam Rabin
Amin Alipour
Susmit Jha
Prem Devanbu
Toufique Ahmed
466
71
0
03 Feb 2024
Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models
Mayank Agarwal
Songlin Yang
Bailin Wang
Yoon Kim
Jie Chen
220
8
0
19 Jan 2024
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study
Yufei Li
Simin Chen
Yanghong Guo
Wei Yang
Yue Dong
Cong Liu
UQCV
280
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12 Jan 2024
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
Linyuan Gong
Mostafa Elhoushi
Alvin Cheung
577
39
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05 Jan 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
ACM Computing Surveys (ACM Comput. Surv.), 2023
Yao Wan
Yang He
Zhangqian Bi
Jianguo Zhang
Hongyu Zhang
Yulei Sui
Guandong Xu
Hai Jin
Philip S. Yu
307
47
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30 Dec 2023
A Case Study on Test Case Construction with Large Language Models: Unveiling Practical Insights and Challenges
Roberto Francisco de Lima Junior
Luiz Fernando Paes de Barros Presta
Lucca Santos Borborema
Vanderson Nogueira da Silva
Marcio Dahia
Anderson Carlos Sousa e Santos
151
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19 Dec 2023
Towards Trustworthy AI Software Development Assistance
Daniel Maninger
Krishna Narasimhan
Mira Mezini
329
7
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14 Dec 2023
Exploiting Code Symmetries for Learning Program Semantics
International Conference on Machine Learning (ICML), 2023
Kexin Pei
Weichen Li
Qirui Jin
Shuyang Liu
Scott Geng
Lorenzo Cavallaro
Junfeng Yang
Suman Jana
597
14
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07 Aug 2023
A Lightweight Framework for High-Quality Code Generation
IEEE Working Conference on Source Code Analysis and Manipulation (SCAM), 2023
Mohammed Latif Siddiq
B.K. Casey
Joanna C. S. Santos
241
28
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17 Jul 2023
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review
Entropy (Entropy), 2023
M. Wong
Shangxin Guo
Ching Nam Hang
Siu-Wai Ho
C. Tan
288
141
0
04 Jul 2023
Large Language Models of Code Fail at Completing Code with Potential Bugs
Neural Information Processing Systems (NeurIPS), 2023
Tuan Dinh
Jinman Zhao
Samson Tan
Renato M. P. Negrinho
Leonard Lausen
Sheng Zha
George Karypis
LRM
306
49
0
06 Jun 2023
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
AAAI Conference on Artificial Intelligence (AAAI), 2023
Hengzhi Pei
Jinman Zhao
Leonard Lausen
Sheng Zha
George Karypis
ELM
LRM
154
30
0
01 Jun 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
273
29
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20 May 2023
Towards Code Generation from BDD Test Case Specifications: A Vision
Leon Chemnitz
David Reichenbach
Hani Aldebes
Mariam Naveed
Krishna Narasimhan
Mira Mezini
166
5
0
19 May 2023
Using Large Language Models to Generate JUnit Tests: An Empirical Study
International Conference on Evaluation & Assessment in Software Engineering (EASE), 2023
Mohammed Latif Siddiq
Joanna C. S. Santos
Ridwanul Hasan Tanvir
Noshin Ulfat
Fahmid Al Rifat
Vinicius Carvalho Lopes
ELM
581
106
0
30 Apr 2023
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models
IEEE International Conference on Program Comprehension (ICPC), 2023
Kechi Zhang
Zhuo Li
Zhi Jin
Ge Li
209
9
0
14 Mar 2023
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
IEEE Transactions on Software Engineering (TSE), 2023
Max Schäfer
Sarah Nadi
A. Eghbali
F. Tip
LM&MA
449
456
0
13 Feb 2023
LExecutor: Learning-Guided Execution
Beatriz Souza
Michael Pradel
SILM
ELM
509
21
0
05 Feb 2023
Execution-based Code Generation using Deep Reinforcement Learning
Parshin Shojaee
Aneesh Jain
Sindhu Tipirneni
Chandan K. Reddy
520
98
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31 Jan 2023
Beware of the Unexpected: Bimodal Taint Analysis
International Symposium on Software Testing and Analysis (ISSTA), 2023
Yiu Wai Chow
Max Schäfer
Michael Pradel
273
23
0
25 Jan 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
212
6
0
25 Jan 2023
Neural Transition-based Parsing of Library Deprecations
Petr Babkin
Nacho Navarro
Salwa Alamir
Sameena Shah
MU
189
1
0
23 Dec 2022
Federated Few-Shot Learning for Mobile NLP
ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), 2022
Dongqi Cai
Shangguang Wang
Yaozong Wu
F. Lin
Mengwei Xu
FedML
313
23
0
12 Dec 2022
Towards Practical Few-shot Federated NLP
Dongqi Cai
Yaozong Wu
Haitao Yuan
Shangguang Wang
F. Lin
Mengwei Xu
FedML
405
6
0
01 Dec 2022
Syntax-Aware On-the-Fly Code Completion
Information and Software Technology (IST), 2022
Wannita Takerngsaksiri
Chakkrit Tantithamthavorn
Yuankui Li
295
23
0
09 Nov 2022
Transformers over Directed Acyclic Graphs
Neural Information Processing Systems (NeurIPS), 2022
Yu Luo
Veronika Thost
Lei Shi
GNN
AI4CE
676
31
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24 Oct 2022
A Library for Representing Python Programs as Graphs for Machine Learning
David Bieber
Kensen Shi
Petros Maniatis
Charles Sutton
Vincent J. Hellendoorn
Daniel D. Johnson
Daniel Tarlow
GNN
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174
6
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15 Aug 2022
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Chaozheng Wang
Yuanhang Yang
Cuiyun Gao
Yun Peng
Hongyu Zhang
Michael R. Lyu
AAML
256
188
0
24 Jul 2022
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Weiguo Pian
Hanyu Peng
Xunzhu Tang
Tiezhu Sun
Haoye Tian
Andrew Habib
Jacques Klein
Tegawende F. Bissyande
218
18
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13 Jun 2022
StructCoder: Structure-Aware Transformer for Code Generation
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Sindhu Tipirneni
Ming Zhu
Chandan K. Reddy
351
80
0
10 Jun 2022
Code Generation Tools (Almost) for Free? A Study of Few-Shot, Pre-Trained Language Models on Code
Patrick Bareiss
Beatriz Souza
Marcelo d’Amorim
Michael Pradel
ELM
298
96
0
02 Jun 2022
FedAdapter: Efficient Federated Learning for Modern NLP
Dongqi Cai
Yaozong Wu
Shangguang Wang
F. Lin
Mengwei Xu
FedML
AI4CE
273
39
0
20 May 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
278
42
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04 May 2022
A Survey of Deep Learning Models for Structural Code Understanding
Ruoting Wu
Yuxin Zhang
Qibiao Peng
Liang Chen
Zibin Zheng
299
9
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03 May 2022
ReACC: A Retrieval-Augmented Code Completion Framework
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Shuai Lu
Nan Duan
Hojae Han
Daya Guo
Seung-won Hwang
Alexey Svyatkovskiy
317
207
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15 Mar 2022
Compilable Neural Code Generation with Compiler Feedback
Findings (Findings), 2022
Xin Wang
Yasheng Wang
Yao Wan
Fei Mi
Yitong Li
Pingyi Zhou
Jin Liu
Hao Wu
Xin Jiang
Qun Liu
276
88
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10 Mar 2022
Better Together? An Evaluation of AI-Supported Code Translation
International Conference on Intelligent User Interfaces (IUI), 2022
Justin D. Weisz
Michael J. Muller
Steven I. Ross
Fernando Martinez
Stephanie Houde
Mayank Agarwal
Kartik Talamadupula
John T. Richards
236
90
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15 Feb 2022
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