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 (ASE, 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)

Class based Influence Functions for Error Detection. - Thang Nguyen-Duc; Hoang Thanh-Tung; Quan Hung Tran; Huu-Tien Dang; Hieu Nguyen; Anh T. V. Dau; Nghi D. Q. Bui (ACL (2), 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 004; Nghi D. Q. Bui (EMNLP (Findings), 2023)

Class based Influence Functions for Error Detection. - Thang Nguyen-Duc; Hoang Thanh-Tung; Quan Hung Tran; Huu-Tien Dang; Hieu Ngoc Nguyen; Anh T. V. Dau; Nghi D. Q. Bui (CoRR, 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)

DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies. - Anh Dau; Jin L. C. Guo; Nghi D. Q. Bui (EACL (Demonstrations), 2024)

XMainframe: A Large Language Model for Mainframe Modernization. - Anh T. V. Dau; Hieu Trung Dao; Anh Tuan Nguyen; Hieu Trung Tran; Phong X. Nguyen; Nghi D. Q. Bui (CoRR, 2024)