activity
20242026
collaborators

22 papers

cs.AI2026

Harnessing Agent Skills: Architectural Patterns and a Reference Architecture for Skill-Mediated LLM Agents

Boming Xia, Liming Zhu, Zhenchang Xing +3

Agent skills externalise reusable agent-facing behavioural knowledge and guidance as persistent artefacts that can be discovered, activated, and interpreted by LLM agents. Although…

cs.SE2026

Uncertainty Propagation in LLM-Based Systems

Boming Xia, Liming Zhu, Erdun Gao +3

Uncertainty in large language model (LLM)-based systems is often studied at the level of a single model output, yet deployed LLM applications are compound systems in which uncertai…

cs.SE2026

From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps

Jieshan Chen, Zhen Wang, Jiamou Sun +5

Mobile apps are essential in daily life but frequently employ deceptive patterns, such as visual emphasis or linguistic nudging, to manipulate user behavior. Existing research larg…

quant-ph2026

QUT: A Unit Testing Framework for Quantum Subroutines

Mykhailo V. Klymenko, Thong Hoang, Hoa Nguyen +6

We present the architectural design and prototype implementation of QUT (Quantum Unit Testing), a framework for unit testing of quantum subroutines. The framework is developed with…

cs.SE2026

A Structured Approach to Safety Case Construction for AI Systems

Sung Une Lee, Liming Zhu, Md Shamsujjoha +4

Safety cases, structured arguments that a system is acceptably safe, are becoming central to the governance of AI systems. Yet, traditional safety-case practices from aviation or n…

cs.SE2026

Still Manual? Automated Linter Configuration via DSL-Based LLM Compilation of Coding Standards

Zejun Zhang, Yixin Gan, Zhenchang Xing +5

Coding standards are essential for maintaining consistent and high-quality code across teams and projects. Linters help developers enforce these standards by detecting code violati…