10 papers
XREPOTEST: Benchmarking Multilingual Repository-Level Unit Test Generation for Large Language Models
Dung Le Quang, Dong Cao Van, Nam Le Hai +3
Large language models (LLMs) have shown promise for automated unit test generation, but existing evaluations largely rely on standalone settings and a narrow set of programming lan…
Which Neurons Detect Malicious Code? A Probing Study of LLM Security Knowledge
Lam D. Dao, Vang T. Nguyen, Anh M. T. Bui +1
Background. Large language models (LLMs) have become increasingly capable of understanding and generating source code, leading to their widespread adoption in software engineering…
Towards Knowledge Alignment in Code LLMs: Contrastive Unlearning for Evolving APIs
Huy Q. Tran, Dang H. Vu, Tuyen N. Dinh +4
Large Language Models (LLMs) have recently achieved strong performance in code generation. However, due to knowledge cut-off and the rapid evolution of software libraries, they oft…
Larger Is Not Always Better: Leveraging Structured Code Diffs for Comment Inconsistency Detection
Phong Nguyen, Anh M. T. Bui, Phuong T. Nguyen
Ensuring semantic consistency between source code and its accompanying comments is crucial for program comprehension, effective debugging, and long-term maintainability. Comment in…
When Retriever Meets Generator: A Joint Model for Code Comment Generation
Tien P. T. Le, Anh M. T. Bui, Huy N. D. Pham +2
Automatically generating concise, informative comments for source code can lighten documentation effort and accelerate program comprehension. Retrieval-augmented approaches first f…
Bake Two Cakes with One Oven: RL for Defusing Popularity Bias and Cold-start in Third-Party Library Recommendations
Minh Hoang Vuong, Anh M. T. Bui, Phuong T. Nguyen +1
Third-party libraries (TPLs) have become an integral part of modern software development, enhancing developer productivity and accelerating time-to-market. However, identifying sui…
EnseSmells: Deep ensemble and programming language models for automated code smells detection
Anh Ho, Anh M. T. Bui, Phuong T. Nguyen +2
A smell in software source code denotes an indication of suboptimal design and implementation decisions, potentially hindering the code understanding and, in turn, raising the like…
Detection of Technical Debt in Java Source Code
Nam Le Hai, Anh M. T. Bui, Phuong T. Nguyen +2
Technical debt (TD) describes the additional costs that emerge when developers have opted for a quick and easy solution to a problem, rather than a more effective and well-designed…
The Two Sides of the Coin: Hallucination Generation and Detection with LLMs as Evaluators for LLMs
Anh Thu Maria Bui, Saskia Felizitas Brech, Natalie Hußfeldt +5
Hallucination detection in Large Language Models (LLMs) is crucial for ensuring their reliability. This work presents our participation in the CLEF ELOQUENT HalluciGen shared task,…
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
Yen-Trang Dang, Thanh-Le Cong, Phuc-Thanh Nguyen +4
Open-source development has revolutionized the software industry by promoting collaboration, transparency, and community-driven innovation. Today, a vast amount of various kinds of…