Nghi D. Q. Bui

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 37

Top Topics

Document Retrieval

Top Venues

Publications

Minh Huynh Nguyen, Thang Phan Chau, Phong X. Nguyen, Nghi D. Q. Bui
AgileCoder: Dynamic Collaborative Agents for Software Development based on Agile Methodology. CoRR (2024)
Nam Le Hai, Dung Manh Nguyen, Nghi D. Q. Bui
REPOEXEC: Evaluate Code Generation with a Repository-Level Executable Benchmark. CoRR (2024)
Nam Le Hai, Nghi D. Q. Bui
Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation. NLBSE@ICSE (2024)
Anh Dau, Jin L. C. Guo, Nghi D. Q. Bui
DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies. EACL (Demonstrations) (2024)
Khanh Nghiem, Anh Minh Nguyen, Nghi D. Q. Bui
Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals. CoRR (2024)
Huy N. Phan, Hoang N. Phan, Tien N. Nguyen, Nghi D. Q. Bui
RepoHyper: Better Context Retrieval Is All You Need for Repository-Level Code Completion. CoRR (2024)
Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM. CoRR (2023)
Anh T. V. Dau, Nghi D. Q. Bui, Jin L. C. Guo
Bootstrapping Code-Text Pretrained Language Model to Detect Inconsistency Between Code and Comment. CoRR (2023)
Dung Nguyen Manh, Le Nam Hai, Anh T. V. Dau, Anh Minh Nguyen, Khanh Nghiem, Jin Guo, Nghi D. Q. Bui
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation. EMNLP (Findings) (2023)
Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi
CodeT5+: Open Code Large Language Models for Code Understanding and Generation. EMNLP (2023)
Hung Quoc To, Nghi D. Q. Bui, Jin Guo, Tien N. Nguyen
Better Language Models of Code through Self-Improvement. CoRR (2023)
Dung Nguyen Manh, Nam Le Hai, Anh T. V. Dau, Anh Minh Nguyen, Khanh Nghiem, Jin Guo, Nghi D. Q. Bui
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation. CoRR (2023)
Hung Quoc To, Minh Huynh Nguyen, Nghi D. Q. Bui
Neural Rankers for Code Generation via Inter-Cluster Modeling. CoRR (2023)
Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Dang Huu-Tien, Hieu Ngoc Nguyen, Anh T. V. Dau, Nghi D. Q. Bui
Class based Influence Functions for Error Detection. CoRR (2023)
Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi
CodeT5+: Open Code Large Language Models for Code Understanding and Generation. CoRR (2023)
Hung Quoc To, Nghi D. Q. Bui, Jin L. C. Guo, Tien N. Nguyen
Better Language Models of Code through Self-Improvement. ACL (Findings) (2023)
Anh T. V. Dau, Nghi D. Q. Bui, Thang Nguyen-Duc, Hoang Thanh-Tung
Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora. ASE (2022)
Nghi D. Q. Bui, Yue Wang, Steven Hoi
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5. CoRR (2022)
Minh Nguyen, Nghi D. Q. Bui
Learning to Represent Programs with Code Hierarchies. CoRR (2022)
Nghi D. Q. Bui, Yijun Yu
Towards Robust Models of Code via Energy-Based Learning on Auxiliary Datasets. ASE (2022)
Md. Rafiqul Islam Rabin, Nghi D. Q. Bui, Ke Wang, Yijun Yu, Lingxiao Jiang, Mohammad Amin Alipour
On the generalizability of Neural Program Models with respect to semantic-preserving program transformations. Inf. Softw. Technol. 135 (2021)
Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang
TreeCaps: Tree-Based Capsule Networks for Source Code Processing. AAAI (2021)
Nghi D. Q. Bui, Yijun Yu
Energy-bounded Learning for Robust Models of Code. CoRR (2021)
Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees. ICSE (2021)
Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang
Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations. SIGIR (2021)
Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees. CoRR (2020)
Nghi D. Q. Bui
Efficient Framework for Learning Code Representations through Semantic-Preserving Program Transformations. CoRR (2020)
Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang
TreeCaps: Tree-Based Capsule Networks for Source Code Processing. CoRR (2020)
Md. Rafiqul Islam Rabin, Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang, Mohammad Amin Alipour
On the Generalizability of Neural Program Analyzers with respect to Semantic-Preserving Program Transformations. CoRR (2020)
Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang
SAR: learning cross-language API mappings with little knowledge. ESEC/SIGSOFT FSE (2019)
Nghi D. Q. Bui
Towards zero knowledge learning for cross language API mappings. ICSE (Companion Volume) (2019)
Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang
AutoFocus: Interpreting Attention-Based Neural Networks by Code Perturbation. ASE (2019)
Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang
SAR: Learning Cross-Language API Mappings with Little Knowledge. CoRR (2019)
Nghi D. Q. Bui, Lingxiao Jiang
Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code. CoRR (2018)
Nghi D. Q. Bui, Lingxiao Jiang, Yijun Yu
Cross-Language Learning for Program Classification Using Bilateral Tree-Based Convolutional Neural Networks. AAAI Workshops (2018)
Nghi D. Q. Bui, Lingxiao Jiang
Hierarchical learning of cross-language mappings through distributed vector representations for code. ICSE (NIER) (2018)
Nghi D. Q. Bui, Lingixao Jiang, Yijun Yu
Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks. CoRR (2017)