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ORCIDNghi D. Q. Bui
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Journal Articles
- 2021
[j1]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: 106552 (2021)
Conference and Workshop Papers
- 2024
- [c17]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: 187-194 - [c16]Nam Le Hai, Nghi D. Q. Bui:
Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation. NLBSE@ICSE 2024: 61-64 - 2023
- [c15]Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Dang Huu-Tien, Hieu Nguyen, Anh T. V. Dau, Nghi D. Q. Bui:
Class based Influence Functions for Error Detection. ACL (2) 2023: 1204-1218 - [c14]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: 12994-13002 - [c13]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: 1069-1088 - [c12]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: 4763-4788 - 2022
- [c11]Nghi D. Q. Bui, Yijun Yu:
Towards Robust Models of Code via Energy-Based Learning on Auxiliary Datasets. ASE 2022: 147:1-147:3 - [c10]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: 148:1-148:3 - 2021
- [c9]Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
TreeCaps: Tree-Based Capsule Networks for Source Code Processing. AAAI 2021: 30-38 - [c8]Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees. ICSE 2021: 1186-1197 - [c7]Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations. SIGIR 2021: 511-521 - 2019
- [c6]Nghi D. Q. Bui:
Towards zero knowledge learning for cross language API mappings. ICSE (Companion Volume) 2019: 123-125 - [c5]Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
AutoFocus: Interpreting Attention-Based Neural Networks by Code Perturbation. ASE 2019: 38-41 - [c4]Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
SAR: learning cross-language API mappings with little knowledge. ESEC/SIGSOFT FSE 2019: 796-806 - [c3]Bui D. Q. Nghi, Yijun Yu, Lingxiao Jiang:
Bilateral Dependency Neural Networks for Cross-Language Algorithm Classification. SANER 2019: 422-433 - 2018
- [c2]Nghi D. Q. Bui, Lingxiao Jiang, Yijun Yu:
Cross-Language Learning for Program Classification Using Bilateral Tree-Based Convolutional Neural Networks. AAAI Workshops 2018: 758-761 - [c1]Nghi D. Q. Bui, Lingxiao Jiang:
Hierarchical learning of cross-language mappings through distributed vector representations for code. ICSE (NIER) 2018: 33-36
Informal and Other Publications
- 2024
- [i26]Huy Nhat Phan, Hoang Nhat Phan, Tien N. Nguyen, Nghi D. Q. Bui:
RepoHyper: Better Context Retrieval Is All You Need for Repository-Level Code Completion. CoRR abs/2403.06095 (2024) - [i25]Khanh Nghiem, Anh Minh Nguyen, Nghi D. Q. Bui:
Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals. CoRR abs/2403.14592 (2024) - [i24]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 abs/2406.11912 (2024) - [i23]Nam Le Hai, Dung Manh Nguyen, Nghi D. Q. Bui:
REPOEXEC: Evaluate Code Generation with a Repository-Level Executable Benchmark. CoRR abs/2406.11927 (2024) - [i22]Cuong Chi Le, Hoang Nhat Phan, Huy Nhat Phan, Tien N. Nguyen, Nghi D. Q. Bui:
Learning to Predict Program Execution by Modeling Dynamic Dependency on Code Graphs. CoRR abs/2408.02816 (2024) - [i21]Anh T. V. Dau, Hieu Trung Dao, Anh Tuan Nguyen, Hieu Trung Tran, Phong X. Nguyen, Nghi D. Q. Bui:
XMainframe: A Large Language Model for Mainframe Modernization. CoRR abs/2408.04660 (2024) - [i20]Nam Le Hai, Nghi D. Q. Bui:
Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation. CoRR abs/2408.04663 (2024) - [i19]Huy Nhat Phan, Phong X. Nguyen, Nghi D. Q. Bui:
HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale. CoRR abs/2409.16299 (2024) - 2023
- [i18]Hung Quoc To, Nghi D. Q. Bui, Jin Guo, Tien N. Nguyen:
Better Language Models of Code through Self-Improvement. CoRR abs/2304.01228 (2023) - [i17]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 abs/2305.01384 (2023) - [i16]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 abs/2305.06156 (2023) - [i15]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 abs/2305.07922 (2023) - [i14]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 abs/2306.00029 (2023) - [i13]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 abs/2306.06347 (2023) - [i12]Hung Quoc To, Minh Huynh Nguyen, Nghi D. Q. Bui:
Neural Rankers for Code Generation via Inter-Cluster Modeling. CoRR abs/2311.03366 (2023) - 2022
- [i11]Anh Dau, Thang Nguyen-Duc, Hoang Thanh-Tung, Nghi D. Q. Bui:
Towards Using Data-Centric Approach for Better Code Representation Learning. CoRR abs/2205.13022 (2022) - [i10]Minh Nguyen, Nghi D. Q. Bui:
Learning to Represent Programs with Code Hierarchies. CoRR abs/2205.15479 (2022) - [i9]Nghi D. Q. Bui, Yue Wang, Steven Hoi:
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5. CoRR abs/2211.14875 (2022) - 2020
- [i8]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 abs/2008.01566 (2020) - [i7]Nghi D. Q. Bui:
Efficient Framework for Learning Code Representations through Semantic-Preserving Program Transformations. CoRR abs/2009.02731 (2020) - [i6]Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
TreeCaps: Tree-Based Capsule Networks for Source Code Processing. CoRR abs/2009.09777 (2020) - [i5]Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees. CoRR abs/2012.07023 (2020) - 2019
- [i4]Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
SAR: Learning Cross-Language API Mappings with Little Knowledge. CoRR abs/1906.03835 (2019) - [i3]Vinoj Jayasundara, Nghi Duy Quoc Bui, Lingxiao Jiang, David Lo:
TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing. CoRR abs/1910.12306 (2019) - 2018
- [i2]Nghi D. Q. Bui, Lingxiao Jiang:
Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code. CoRR abs/1803.04715 (2018) - 2017
- [i1]Nghi D. Q. Bui, Lingixao Jiang, Yijun Yu:
Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks. CoRR abs/1710.06159 (2017)
Coauthor Index
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