19 citations · 61 across the 20 of their papers we have counts for
21 papers
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…
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…
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)…
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…
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…
A Meta-Analysis of LLM Effects on Students across Qualification, Socialisation, and Subjectification
Jiayu Huang, Ruoxin Ritter Wang, Jen-Hao Liu +5
Large language models (LLMs) are increasingly positioned as solutions for education, yet evaluations often reduce their impact to narrow performance metrics. This paper reframes th…
MM-Eval: A Hierarchical Benchmark for Modern Mongolian Evaluation in LLMs
Mengyuan Zhang, Ruihui Wang, Bo Xia +2
Large language models (LLMs) excel in high-resource languages but face notable challenges in low-resource languages like Mongolian. This paper addresses these challenges by categor…
Evaluation-Driven Development and Operations of LLM Agents: A Process Model and Reference Architecture
Boming Xia, Qinghua Lu, Liming Zhu +3
Large Language Models (LLMs) have enabled the emergence of LLM agents, systems capable of pursuing under-specified goals and adapting after deployment. Evaluating such agents is ch…
Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement
Harsha Perera, Sung Une Lee, Yue Liu +5
As Artificial Intelligence (AI) becomes integral to business operations, integrating Responsible AI (RAI) within Environmental, Social, and Governance (ESG) frameworks is essential…
Blockchain-Enabled Accountability in Data Supply Chain: A Data Bill of Materials Approach
Yue Liu, Dawen Zhang, Boming Xia +4
In the era of advanced artificial intelligence, highlighted by large-scale generative models like GPT-4, ensuring the traceability, verifiability, and reproducibility of datasets t…
Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework
Sung Une Lee, Harsha Perera, Yue Liu +5
Artificial Intelligence (AI) is a widely developed and adopted technology across entire industry sectors. Integrating environmental, social, and governance (ESG) considerations wit…
Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment
Sung Une Lee, Harsha Perera, Yue Liu +5
The rapid growth of Artificial Intelligence (AI) has underscored the urgent need for responsible AI practices. Despite increasing interest, a comprehensive AI risk assessment toolk…
An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping
Boming Xia, Qinghua Lu, Liming Zhu +1
The advent of advanced AI underscores the urgent need for comprehensive safety evaluations, necessitating collaboration across communities (i.e., AI, software engineering, and gove…
Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright
Dawen Zhang, Boming Xia, Yue Liu +6
The World Wide Web, a ubiquitous source of information, serves as a primary resource for countless individuals, amassing a vast amount of data from global internet users. However,…
Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
Dawen Zhang, Boming Xia, Yue Liu +6
The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities in generating realistic images, texts, and data pat…
Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability
Boming Xia, Qinghua Lu, Liming Zhu +3
Artificial Intelligence (AI), particularly through the advent of large-scale generative AI (GenAI) models such as Large Language Models (LLMs), has become a transformative element…
Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future
Boming Xia, Dawen Zhang, Yue Liu +3
The robustness of critical infrastructure systems is contingent upon the integrity and transparency of their software supply chains. A Software Bill of Materials (SBOM) is pivotal…
QB4AIRA: A Question Bank for AI Risk Assessment
Sung Une Lee, Harsha Perera, Boming Xia +5
The rapid advancement of Artificial Intelligence (AI), represented by ChatGPT, has raised concerns about responsible AI development and utilization. Existing frameworks lack a comp…
On the Way to SBOMs: Investigating Design Issues and Solutions in Practice
Tingting Bi, Boming Xia, Zhenchang Xing +2
The Software Bill of Materials (SBOM) has emerged as a promising solution, providing a machine-readable inventory of software components used, thus bolstering supply chain security…
An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead
Boming Xia, Tingting Bi, Zhenchang Xing +2
The rapid growth of software supply chain attacks has attracted considerable attention to software bill of materials (SBOM). SBOMs are a crucial building block to ensure the transp…
Towards Concrete and Connected AI Risk Assessment (CAIRA): A Systematic Mapping Study
Boming Xia, Qinghua Lu, Harsha Perera +4
The rapid development of artificial intelligence (AI) has led to increasing concerns about the capability of AI systems to make decisions and behave responsibly. Responsible AI (RA…