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20232026
most citedPrivacy and Copyright Protection in Generative AI: A Lifecycle Perspective

19 citations · 61 across the 20 of their papers we have counts for

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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.CY2026

The Creation and Analysis of Government AI Transparency Statements in Australia

Shidong Pan, Haochen Gong, Boming Xia +3

Governments increasingly deploy AI in public services, making transparency essential for accountability and public trust. Australia's Standard for AI Transparency Statements (AITS)…

cs.AI2026

OntoMetric: An Ontology-Driven LLM-Assisted Framework for Automated ESG Metric Knowledge Graph Generation

Mingqin Yu, Fethi Rabhi, Boming Xia +3

Environmental, Social, and Governance (ESG) metric knowledge is inherently structured, connecting industries, reporting frameworks, metric categories, metrics, and calculation mode…

cs.AI2026

Improving Methodologies for LLM Evaluations Across Global Languages

Akriti Vij, Benjamin Chua, Darshini Ramiah +43

As frontier AI models are deployed globally, it is essential that their behaviour remains safe and reliable across diverse linguistic and cultural contexts. To examine how current…