93 citations · 385 across the 72 of their papers we have counts for
8 papers · 1 filter
A Reference Architecture for Integrating Agentic AI into Enterprise Software: Responsibilities, Interactions, and Variability
Mingqin Yu, Fethi Rabhi, Liming Zhu +1
Agentic AI moves generative AI applications toward systems that coordinate reasoning, enterprise context, model inference, and external actions. Integrating these capabilities into…
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…
AgentOps: Enabling Observability of LLM Agents
Liming Dong, Qinghua Lu, Liming Zhu
Large language model (LLM) agents have demonstrated remarkable capabilities across various domains, gaining extensive attention from academia and industry. However, these agents ra…
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…
Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents
Yue Liu, Sin Kit Lo, Qinghua Lu +5
Foundation model-enabled generative artificial intelligence facilitates the development and implementation of agents, which can leverage distinguished reasoning and language proces…
Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based Agents
Qinghua Lu, Liming Zhu, Xiwei Xu +3
Foundation models, such as large language models (LLMs), have been widely recognised as transformative AI technologies due to their capabilities to understand and generate content,…
Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering
Qinghua Lu, Liming Zhu, Xiwei Xu +3
Responsible AI is widely considered as one of the greatest scientific challenges of our time and is key to increase the adoption of AI. Recently, a number of AI ethics principles f…
Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems
Qinghua Lu, Liming Zhu, Xiwei Xu +1
Although AI has significant potential to transform society, there are serious concerns about its ability to behave and make decisions responsibly. Many ethical regulations, princip…