Anh Dau

According to our database, Anh Dau authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Anh Dau, Jin L. C. Guo, Nghi D. Q. Bui

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

2023

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

Anh T. V. Dau, Nghi D. Q. Bui, Jin L. C. Guo

CoRR, 2023

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

Dung Nguyen Manh, Nam Le Hai, Anh T. V. Dau, Anh Minh Nguyen, Khanh Nghiem, Jin Guo, Nghi D. Q. Bui

CoRR, 2023

Class based Influence Functions for Error Detection.

Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Dang Huu-Tien, Hieu Ngoc Nguyen, Anh T. V. Dau, Nghi D. Q. Bui

CoRR, 2023

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

Dung Nguyen Manh, Le Nam Hai, Anh T. V. Dau, Anh Minh Nguyen, Khanh Nghiem, Jin Guo, Nghi D. Q. Bui

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

Class based Influence Functions for Error Detection.

Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Dang Huu-Tien, Hieu Nguyen, Anh T. V. Dau, Nghi D. Q. Bui

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

2022

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

Anh Dau, Thang Nguyen-Duc, Hoang Thanh-Tung, Nghi D. Q. Bui

CoRR, 2022

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

Anh T. V. Dau, Nghi D. Q. Bui, Thang Nguyen-Duc, Hoang Thanh-Tung

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