Saved in:
| Main Authors: | Le-Anh, Minh, Nguyen, Huyen, Tran, Khanh An, Hai, Nam Le, Van, Linh Ngo, Bui, Nghi D. Q., Le, Bach |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.11671 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Impacts of Contexts on Repository-Level Code Generation
by: Hai, Nam Le, et al.
Published: (2024)
by: Hai, Nam Le, et al.
Published: (2024)
CodeWiki: Evaluating AI's Ability to Generate Holistic Documentation for Large-Scale Codebases
by: Hoang, Anh Nguyen, et al.
Published: (2025)
by: Hoang, Anh Nguyen, et al.
Published: (2025)
Documentation-Guided Agentic Codebase Migration from C to Rust
by: Le-Anh, Minh, et al.
Published: (2026)
by: Le-Anh, Minh, et al.
Published: (2026)
Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals
by: Nghiem, Khanh, et al.
Published: (2024)
by: Nghiem, Khanh, et al.
Published: (2024)
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
by: Manh, Dung Nguyen, et al.
Published: (2024)
by: Manh, Dung Nguyen, et al.
Published: (2024)
RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion
by: Phan, Huy N., et al.
Published: (2024)
by: Phan, Huy N., et al.
Published: (2024)
Detection of Technical Debt in Java Source Code
by: Hai, Nam Le, et al.
Published: (2024)
by: Hai, Nam Le, et al.
Published: (2024)
Functional Overlap Reranking for Neural Code Generation
by: To, Hung Quoc, et al.
Published: (2023)
by: To, Hung Quoc, et al.
Published: (2023)
DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies
by: Dau, Anh T. V., et al.
Published: (2023)
by: Dau, Anh T. V., et al.
Published: (2023)
CodeFlow: Program Behavior Prediction with Dynamic Dependencies Learning
by: Le, Cuong Chi, et al.
Published: (2024)
by: Le, Cuong Chi, et al.
Published: (2024)
Agentic Coding Needs Proactivity, Not Just Autonomy
by: Bui, Nghi D. Q., et al.
Published: (2026)
by: Bui, Nghi D. Q., et al.
Published: (2026)
VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning
by: Le, Cuong Chi, et al.
Published: (2024)
by: Le, Cuong Chi, et al.
Published: (2024)
COBOLAssist: Analyzing and Fixing Compilation Errors for LLM-Powered COBOL Code Generation
by: Dau, Anh T. V., et al.
Published: (2026)
by: Dau, Anh T. V., et al.
Published: (2026)
COBOL-Coder: Domain-Adapted Large Language Models for COBOL Code Generation and Translation
by: Dau, Anh T. V., et al.
Published: (2026)
by: Dau, Anh T. V., et al.
Published: (2026)
CodeTF: One-stop Transformer Library for State-of-the-art Code LLMs
by: Bui, Nghi D. Q., et al.
Published: (2023)
by: Bui, Nghi D. Q., et al.
Published: (2023)
Beyond Localization: Recoverable Headroom and Residual Frontier in Repository-Level RAG-APR
by: Zhao, Pengtao, et al.
Published: (2026)
by: Zhao, Pengtao, et al.
Published: (2026)
HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale
by: Phan, Huy Nhat, et al.
Published: (2024)
by: Phan, Huy Nhat, et al.
Published: (2024)
Qualitative Coding Analysis through Open-Source Large Language Models: A User Study and Design Recommendations
by: Ngo, Tung T., et al.
Published: (2026)
by: Ngo, Tung T., et al.
Published: (2026)
EnseSmells: Deep ensemble and programming language models for automated code smells detection
by: Ho, Anh, et al.
Published: (2025)
by: Ho, Anh, et al.
Published: (2025)
iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML
by: Le, Dat, et al.
Published: (2026)
by: Le, Dat, et al.
Published: (2026)
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
by: Nguyen, Anh The, et al.
Published: (2024)
by: Nguyen, Anh The, et al.
Published: (2024)
Signature in Code Backdoor Detection, how far are we?
by: Le, Quoc Hung, et al.
Published: (2025)
by: Le, Quoc Hung, et al.
Published: (2025)
When Retriever Meets Generator: A Joint Model for Code Comment Generation
by: Le, Tien P. T., et al.
Published: (2025)
by: Le, Tien P. T., et al.
Published: (2025)
Modeling Sampling Workflows for Code Repositories
by: Lefeuvre, Romain, et al.
Published: (2026)
by: Lefeuvre, Romain, et al.
Published: (2026)
Semantic Evolution over Populations for LLM-Guided Automated Program Repair
by: Le, Cuong Chi, et al.
Published: (2026)
by: Le, Cuong Chi, et al.
Published: (2026)
Enhancing Program Repair with Specification Guidance and Intermediate Behavioral Signals
by: Le-Anh, Minh, et al.
Published: (2026)
by: Le-Anh, Minh, et al.
Published: (2026)
The Effect of Code Obfuscation on Human Program Comprehension
by: Nguyen, Anh H. N., et al.
Published: (2026)
by: Nguyen, Anh H. N., et al.
Published: (2026)
Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation
by: Hai, Nam Le, et al.
Published: (2024)
by: Hai, Nam Le, et al.
Published: (2024)
SWE-Synth: Synthesizing Verifiable Bug-Fix Data to Enable Large Language Models in Resolving Real-World Bugs
by: Pham, Minh V. T., et al.
Published: (2025)
by: Pham, Minh V. T., et al.
Published: (2025)
AgileCoder: Dynamic Collaborative Agents for Software Development based on Agile Methodology
by: Nguyen, Minh Huynh, et al.
Published: (2024)
by: Nguyen, Minh Huynh, et al.
Published: (2024)
Larger Is Not Always Better: Leveraging Structured Code Diffs for Comment Inconsistency Detection
by: Nguyen, Phong, et al.
Published: (2025)
by: Nguyen, Phong, et al.
Published: (2025)
Towards Reliable Evaluation of Neural Program Repair with Natural Robustness Testing
by: Le-Cong, Thanh, et al.
Published: (2024)
by: Le-Cong, Thanh, et al.
Published: (2024)
Perish or Flourish? A Holistic Evaluation of Large Language Models for Code Generation in Functional Programming
by: Lang, Nguyet-Anh H., et al.
Published: (2026)
by: Lang, Nguyet-Anh H., et al.
Published: (2026)
CodeLSI: Leveraging Foundation Models for Automated Code Generation with Low-Rank Optimization and Domain-Specific Instruction Tuning
by: Le, Huy, et al.
Published: (2025)
by: Le, Huy, et al.
Published: (2025)
Adversarial Attacks on Code Models with Discriminative Graph Patterns
by: Nguyen, Thanh-Dat, et al.
Published: (2023)
by: Nguyen, Thanh-Dat, et al.
Published: (2023)
Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking
by: Le, Duc Anh, et al.
Published: (2024)
by: Le, Duc Anh, et al.
Published: (2024)
An Empirical Study of Multi-Agent RAG for Real-World University Admissions Counseling
by: Nguyen-Duc, Anh, et al.
Published: (2025)
by: Nguyen-Duc, Anh, et al.
Published: (2025)
Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering
by: Alebachew, Yoseph Berhanu, et al.
Published: (2026)
by: Alebachew, Yoseph Berhanu, et al.
Published: (2026)
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
by: Dang, Yen-Trang, et al.
Published: (2024)
by: Dang, Yen-Trang, et al.
Published: (2024)
From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs
by: Ho, Anh, et al.
Published: (2025)
by: Ho, Anh, et al.
Published: (2025)
Similar Items
-
On the Impacts of Contexts on Repository-Level Code Generation
by: Hai, Nam Le, et al.
Published: (2024) -
CodeWiki: Evaluating AI's Ability to Generate Holistic Documentation for Large-Scale Codebases
by: Hoang, Anh Nguyen, et al.
Published: (2025) -
Documentation-Guided Agentic Codebase Migration from C to Rust
by: Le-Anh, Minh, et al.
Published: (2026) -
Envisioning the Next-Generation AI Coding Assistants: Insights & Proposals
by: Nghiem, Khanh, et al.
Published: (2024) -
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
by: Manh, Dung Nguyen, et al.
Published: (2024)