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Learning to Update Natural Language Comments Based on Code Changes
v1v2 (latest)

Learning to Update Natural Language Comments Based on Code Changes

Annual Meeting of the Association for Computational Linguistics (ACL), 2020
25 April 2020
Sheena Panthaplackel
Pengyu Nie
Miloš Gligorić
Junyi Jessy Li
Raymond J. Mooney
ArXiv (abs)PDFHTML

Papers citing "Learning to Update Natural Language Comments Based on Code Changes"

28 / 28 papers shown
Excision Score: Evaluating Edits with Surgical Precision
Excision Score: Evaluating Edits with Surgical Precision
Nikolai Gruzinov
Ksenia Sycheva
Earl T. Barr
Alex Bezzubov
254
0
0
24 Oct 2025
TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar
TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar
Yinxi Li
Yuntian Deng
Pengyu Nie
152
1
0
16 Oct 2025
exLong: Generating Exceptional Behavior Tests with Large Language Models
exLong: Generating Exceptional Behavior Tests with Large Language ModelsInternational Conference on Software Engineering (ICSE), 2024
Jiyang Zhang
Yu Liu
Pengyu Nie
Junjie Li
Miloš Gligorić
LRM
262
3
0
31 Dec 2024
Natural Language Outlines for Code: Literate Programming in the LLM Era
Natural Language Outlines for Code: Literate Programming in the LLM Era
Kensen Shi
Deniz Altınbüken
Saswat Anand
Mihai Christodorescu
Katja Grünwedel
...
Tobias Welp
Pengcheng Yin
Manzil Zaheer
Satish Chandra
Charles Sutton
548
16
0
09 Aug 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Deep Learning for Code Intelligence: Survey, Benchmark and ToolkitACM 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
0
30 Dec 2023
Multilingual Code Co-Evolution Using Large Language Models
Multilingual Code Co-Evolution Using Large Language Models
Jiyang Zhang
Pengyu Nie
Junyi Jessy Li
Miloš Gligorić
317
38
0
27 Jul 2023
Coeditor: Leveraging Contextual Changes for Multi-round Code
  Auto-editing
Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing
Jiayi Wei
Greg Durrett
Işıl Dillig
KELMSyDa
411
17
0
29 May 2023
TypeT5: Seq2seq Type Inference using Static Analysis
TypeT5: Seq2seq Type Inference using Static AnalysisInternational Conference on Learning Representations (ICLR), 2023
Jiayi Wei
Greg Durrett
Işıl Dillig
303
26
0
16 Mar 2023
Learning Deep Semantics for Test Completion
Learning Deep Semantics for Test CompletionInternational Conference on Software Engineering (ICSE), 2023
Pengyu Nie
Rahul Banerjee
Junyi Jessy Li
Raymond J. Mooney
Miloš Gligorić
449
93
0
20 Feb 2023
CCRep: Learning Code Change Representations via Pre-Trained Code Model
  and Query Back
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query BackInternational Conference on Software Engineering (ICSE), 2023
Zhongxin Liu
Zhijie Tang
Xin Xia
Xiaohu Yang
SSL
202
31
0
08 Feb 2023
A Survey on Natural Language Processing for Programming
A Survey on Natural Language Processing for ProgrammingInternational Conference on Language Resources and Evaluation (LREC), 2022
Qingfu Zhu
Xianzhen Luo
Fang Liu
Cuiyun Gao
Wanxiang Che
223
5
0
12 Dec 2022
CoditT5: Pretraining for Source Code and Natural Language Editing
CoditT5: Pretraining for Source Code and Natural Language EditingInternational Conference on Automated Software Engineering (ASE), 2022
Jiyang Zhang
Sheena Panthaplackel
Pengyu Nie
Junyi Jessy Li
Miloš Gligorić
KELM
343
124
0
10 Aug 2022
Code Comment Inconsistency Detection with BERT and Longformer
Code Comment Inconsistency Detection with BERT and Longformer
Theo Steiner
Rui Zhang
208
13
0
29 Jul 2022
LAMNER: Code Comment Generation Using Character Language Model and Named
  Entity Recognition
LAMNER: Code Comment Generation Using Character Language Model and Named Entity RecognitionIEEE International Conference on Program Comprehension (ICPC), 2022
Rishab Sharma
Fuxiang Chen
Fatemeh H. Fard
256
9
0
05 Apr 2022
RACE: Retrieval-Augmented Commit Message Generation
RACE: Retrieval-Augmented Commit Message GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Ensheng Shi
Yanlin Wang
Wei Tao
Lun Du
Hongyu Zhang
Shi Han
Dongmei Zhang
Hongbin Sun
VLM
327
64
0
05 Mar 2022
Source Code Summarization with Structural Relative Position Guided
  Transformer
Source Code Summarization with Structural Relative Position Guided TransformerIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022
Zi Gong
Cuiyun Gao
Yasheng Wang
Wenchao Gu
Yun Peng
Zenglin Xu
177
45
0
14 Feb 2022
GN-Transformer: Fusing Sequence and Graph Representation for Improved
  Code Summarization
GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization
Junyan Cheng
Iordanis Fostiropoulos
Barry W. Boehm
141
10
0
17 Nov 2021
Data-Driven AI Model Signal-Awareness Enhancement and Introspection
Data-Driven AI Model Signal-Awareness Enhancement and Introspection
Sahil Suneja
Yufan Zhuang
Yunhui Zheng
Jim Laredo
Alessandro Morari
SyDa
322
1
0
10 Nov 2021
Learning to Describe Solutions for Bug Reports Based on Developer
  Discussions
Learning to Describe Solutions for Bug Reports Based on Developer DiscussionsFindings (Findings), 2021
Sheena Panthaplackel
Junjie Li
Miloš Gligorić
Raymond J. Mooney
LMTD
218
10
0
08 Oct 2021
ComSum: Commit Messages Summarization and Meaning Preservation
ComSum: Commit Messages Summarization and Meaning Preservation
Leshem Choshen
Idan Amit
190
6
0
23 Aug 2021
Impact of Evaluation Methodologies on Code Summarization
Impact of Evaluation Methodologies on Code SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Pengyu Nie
Jiyang Zhang
Junyi Jessy Li
Raymond J. Mooney
Miloš Gligorić
304
20
0
22 Aug 2021
On the Evaluation of Neural Code Summarization
On the Evaluation of Neural Code SummarizationInternational Conference on Software Engineering (ICSE), 2021
Ensheng Shi
Yanlin Wang
Lun Du
Junjie Chen
Shi Han
Hongyu Zhang
Dongmei Zhang
Hongbin Sun
ELM
431
119
0
15 Jul 2021
NL-EDIT: Correcting semantic parse errors through natural language
  interaction
NL-EDIT: Correcting semantic parse errors through natural language interactionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Ahmed Elgohary
Christopher Meek
Matthew Richardson
Adam Fourney
Gonzalo A. Ramos
Ahmed Hassan Awadallah
KELM
244
53
0
26 Mar 2021
Learning to Generate Code Comments from Class Hierarchies
Learning to Generate Code Comments from Class Hierarchies
Jiyang Zhang
Sheena Panthaplackel
Pengyu Nie
Raymond J. Mooney
Junjie Li
Miloš Gligorić
250
8
0
24 Mar 2021
Learning Structural Edits via Incremental Tree Transformations
Learning Structural Edits via Incremental Tree TransformationsInternational Conference on Learning Representations (ICLR), 2021
Ziyu Yao
Frank F. Xu
Pengcheng Yin
Huan Sun
Graham Neubig
CLL
412
32
0
28 Jan 2021
Elaborative Simplification: Content Addition and Explanation Generation
  in Text Simplification
Elaborative Simplification: Content Addition and Explanation Generation in Text SimplificationFindings (Findings), 2020
Neha Srikanth
Junyi Jessy Li
383
50
0
20 Oct 2020
Adversarial Training for Code Retrieval with Question-Description
  Relevance Regularization
Adversarial Training for Code Retrieval with Question-Description Relevance RegularizationFindings (Findings), 2020
Jie Zhao
Huan Sun
359
5
0
19 Oct 2020
Deep Just-In-Time Inconsistency Detection Between Comments and Source
  Code
Deep Just-In-Time Inconsistency Detection Between Comments and Source CodeAAAI Conference on Artificial Intelligence (AAAI), 2020
Sheena Panthaplackel
Junyi Jessy Li
Miloš Gligorić
Raymond J. Mooney
303
60
0
04 Oct 2020
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