Nghi D. Q. Bui

CoRR, 2024

RepoHyper: Better Context Retrieval Is All You Need for Repository-Level Code Completion.

[BibT_eX]

[DOI]

CoRR, 2024

DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies.

[BibT_eX]

[DOI]

Anh Dau

Jin L. C. Guo

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Neural Rankers for Code Generation via Inter-Cluster Modeling.

[BibT_eX]

[DOI]

Hung Quoc To

Minh Huynh Nguyen

CoRR, 2023

Bootstrapping Code-Text Pretrained Language Model to Detect Inconsistency Between Code and Comment.

[BibT_eX]

[DOI]

Anh T. V. Dau

Jin L. C. Guo

CoRR, 2023

CodeTF: One-stop Transformer Library for State-of-the-art Code LLM.

[BibT_eX]

[DOI]

Akhilesh Deepak Gotmare

Steven C. H. Hoi

CoRR, 2023

CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

[BibT_eX]

[DOI]

Yue Wang

Hung Le

Akhilesh Deepak Gotmare

Junnan Li

Steven C. H. Hoi

CoRR, 2023

The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Class based Influence Functions for Error Detection.

[BibT_eX]

[DOI]

CoRR, 2023

CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Better Language Models of Code through Self-Improvement.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Class based Influence Functions for Error Detection.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5.

[BibT_eX]

[DOI]

Yue Wang

Steven Hoi

CoRR, 2022

Learning to Represent Programs with Code Hierarchies.

[BibT_eX]

[DOI]

Minh Nguyen

CoRR, 2022

Towards Using Data-Centric Approach for Better Code Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Towards Robust Models of Code via Energy-Based Learning on Auxiliary Datasets.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021

On the generalizability of Neural Program Models with respect to semantic-preserving program transformations.

[BibT_eX]

[DOI]

Md. Rafiqul Islam Rabin

Mohammad Amin Alipour

Inf. Softw. Technol., 2021

Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

TreeCaps: Tree-Based Capsule Networks for Source Code Processing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Efficient Framework for Learning Code Representations through Semantic-Preserving Program Transformations.

[BibT_eX]

[DOI]

CoRR, 2020

On the Generalizability of Neural Program Analyzers with respect to Semantic-Preserving Program Transformations.

[BibT_eX]

[DOI]

Md. Rafiqul Islam Rabin

Mohammad Amin Alipour

CoRR, 2020

2019

TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing.

[BibT_eX]

[DOI]

CoRR, 2019

Bilateral Dependency Neural Networks for Cross-Language Algorithm Classification.

[BibT_eX]

[DOI]

Bui D. Q. Nghi

Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

SAR: learning cross-language API mappings with little knowledge.

[BibT_eX]

[DOI]

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

AutoFocus: Interpreting Attention-Based Neural Networks by Code Perturbation.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Towards zero knowledge learning for cross language API mappings.

[BibT_eX]

[DOI]

Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2018

Hierarchical learning of cross-language mappings through distributed vector representations for code.

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results, 2018

Cross-Language Learning for Program Classification Using Bilateral Tree-Based Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks.

[BibT_eX]

[DOI]

Lingixao Jiang