24 citations · 93 across the 26 of their papers we have counts for
7 papers · 1 filter
One Strategy Does Not Fit All: Rethinking Data Labeling for Just-in-Time Vulnerability Prediction
Quan Tran, Duong Nguyen, Thanh Le-Cong +4
Just-In-Time Vulnerability Prediction (JIT-VP) identifies security risks in code changes at commit time, enabling early feedback before vulnerabilities enter software systems. Howe…
Correct Code, Broken Contributions? SWE-CC: Benchmarking Repository Policy Compliance for Coding Agents
Hai Dang Truong, Rayner Goh, Thanh Le-Cong +1
Autonomous coding agents now resolve a substantial share of real-world GitHub issues. However, passing functional tests differs fundamentally from producing a high-quality contribu…
Athena: Vulnerability-Affected Library Identification via Knowledge Graph Completion
Phong Trinh Duy, Trang Dang Yen, Hung Nguyen-Huu +5
A single vulnerability in a widely used library can cascade through millions of dependent applications, yet more than half of vulnerability database entries contain missing or inco…
FPMoE: A Sparse Mixture-of-Experts Approach to Functional Code Generation
Loc Pham, Lang Hong Nguyet Anh, Thanh Le-Cong
Despite rapid progress in LLM-based code generation, existing models are predominantly trained on imperative languages, leaving functional programming languages (FPLs) such as Hask…
PatchGuru: Patch Oracle Inference from Natural Language Artifacts
Thanh Le-Cong, Bach Le, Toby Murray +2
As software systems evolve, patches may unintentionally alter program behavior. Validating patches against their intended semantics is difficult due to incomplete regression tests…
How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
Hua Yang, Alejandro Velasco, Thanh Le-Cong +3
The success of large language models for code relies on vast amounts of code data, including public open-source repositories, such as GitHub, and private, confidential code from co…
Perish or Flourish? A Holistic Evaluation of Large Language Models for Code Generation in Functional Programming
Nguyet-Anh H. Lang, Eric Lang, Thanh Le-Cong +2
Functional programming provides strong foundations for developing reliable and secure software systems, yet its adoption remains not widespread due to the steep learning curve. Rec…