Author

Phuong T. Nguyen

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Jul 2026

Which Neurons Detect Malicious Code? A Probing Study of LLM Security Knowledge

Probing the neurons associated with security-relevant knowledge helps to gain insights into how LLMs encode malicious programming concepts, identify potentially harmful memorized behaviors, and pave the way toward more reliable defense mechanisms, such as neuron-level editing, selective unlearning, and security-aware a...

Lam D. Dao, V. T. Nguyễn, Anh M. T. Bui et al. · arXiv.org · 0 citations

#software testing Preprint Aug 2026

XREPOTEST: Benchmarking Multilingual Repository-Level Unit Test Generation for Large Language Models

XREPOTEST is introduced, a multilingual repository-level benchmark for unit test generation spanning five underexplored languages: Rust, Go, Julia, PHP, and Ruby, and Invocation Rate is proposed to assess whether generated tests meaningfully exercise the intended functionality.

L. Dung, Dong Cao Van, Nam Le Hai et al. · 1 citation

Jun 2026

Towards Knowledge Alignment in Code LLMs: Contrastive Unlearning for Evolving APIs

CURE is developed, a contrastive unlearning approach that shifts unlearning from purely suppressing outdated knowledge to explicitly promoting correct API replacements, enabling more reliable adaptation to evolving software libraries.

Huy Q. Tran, Dang H. Vu, Tuyen N. Dinh et al. · arXiv.org · 0 citations