Explanipedia

Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach Open

Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang · 2025

Federated foundation models represent a new paradigm to jointly fine-tune pre-trained foundation models across clients. It is still a challenge to fine-tune foundation models for a small group of new users or specialized scenarios, which t…

Interpretable Machine Learning Prediction of Polyimide Dielectric Constants: A Feature-Engineered Approach with Experimental Validation Open

Xiaojie He, Jiachen Wan, Songyang Zhang, Chenggang Zhang, Peng Xiao , et al. · 2025

Low-dielectric polyimides (PIs) have emerged as essential materials for next-generation microelectronics and communication technologies, yet traditional experimental and theoretical calculation methods for acquiring dielectric constant dat…

Integrating ESG and AI: a comprehensive responsible AI assessment framework Open

Sung Une Lee, Harsha Perera, Yue Liu, Boming Xia, Qinghua Lu , et al. · 2025

Environmental, Social, and Governance (ESG) principles are critical for addressing global challenges and fostering sustainable practices. As Artificial Intelligence (AI) is a widely developed and adopted technology across entire industry s…

RAGOps: Operating and Managing Retrieval-Augmented Generation Pipelines Open

Xiwei Xu, Hans Weytjens, Dawen Zhang, Qinghua Lu, Ingo Weber , et al. · 2025

Recent studies show that 60% of LLM-based compound systems in enterprise environments leverage some form of retrieval-augmented generation (RAG), which enhances the relevance and accuracy of LLM (or other genAI) outputs by retrieving relev…

Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Open

Yiyuan Yang, Guodong Long, Tianyi Zhou, Qinghua Lu, Shanshan Ye , et al. · 2025

As foundation models gain prominence, Federated Foundation Models (FedFM) have emerged as a privacy-preserving approach to collaboratively fine-tune models in federated learning (FL) frameworks using distributed datasets across clients. A …

An Extended Pattern Collection for Blockchain-based Applications Open

Xiwei Xu, Cesare Pautasso, Sin Kuang Lo, Liming Zhu, Qinghua Lu , et al. · 2025

Blockchain is an emerging technology that enables new forms of decentralized software architectures, where distributed components can reach agreements on shared system states without trusting a central integration point. Blockchain provide…

Ragops: Operating and Managing Retrieval-Augmented Generation Pipelines Open

Xiwei Xu, Hans Weytjens, Dawen Zhang, Qinghua Lu, Ingo Weber , et al. · 2025

Evaluating The Architecture Of Large Language Model-Based Agents Open

Qinghua Lu, Dehai Zhao, Yue Liu, Hao Zhang, Liming Zhu , et al. · 2025

Agentarceval: An Architecture Evaluation Method for Foundation Model Based Agents Open

Qinghua Lu, Dehai Zhao, Yue Liu, Hao Zhang, Liming Zhu , et al. · 2025

Oversight Design for AI-Enabled Decision Making in Government Services Open

Liming Zhu, Qinghua Lu, Sung Une Lee, Ming Ding · 2025

Evaluation-Driven Development and Operations of LLM Agents: A Process Model and Reference Architecture Open

Boming Xia, Qinghua Lu, Liming Zhu, Zhenchang Xing, Dehai Zhao , et al. · 2024

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 challenging because their behavior is open ended, probabilist…

AgentOps: Enabling Observability of LLM Agents Open

Lingbo Dong, Qinghua Lu, Li Zhu · 2024

Large language model (LLM) agents have demonstrated remarkable capabilities across various domains, gaining extensive attention from academia and industry. However, these agents raise significant concerns on AI safety due to their autonomo…

Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement Open

Harsha Perera, Sung Une Lee, Yue Liu, Boming Xia, Qinghua Lu , et al. · 2024

As Artificial Intelligence (AI) becomes integral to business operations, integrating Responsible AI (RAI) within Environmental, Social, and Governance (ESG) frameworks is essential for ethical and sustainable AI deployment. This study exam…

Swiss Cheese Model for AI Safety: A Taxonomy and Reference Architecture for Multi-Layered Guardrails of Foundation Model Based Agents Open

Md Shamsujjoha, Qinghua Lu, Dehai Zhao, Liming Zhu · 2024

Foundation Model (FM)-based agents are revolutionizing application development across various domains. However, their rapidly growing capabilities and autonomy have raised significant concerns about AI safety. Researchers are exploring bet…

Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework Open

Sung Une Lee, Harsha Perera, Yue Liu, Boming Xia, Qinghua Lu , et al. · 2024

Artificial Intelligence (AI) is a widely developed and adopted technology across entire industry sectors. Integrating environmental, social, and governance (ESG) considerations with AI investments is crucial for ensuring ethical and sustai…

Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness Open

Kacy Zhou, Jiawen Wen, Nan Yang, Dong Yuan, Qinghua Lu , et al. · 2024

While deep learning has become a core functional module of most software systems, concerns regarding the fairness of ML predictions have emerged as a significant issue that affects prediction results due to discrimination. Intersectional b…

Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents Open

Yue Liu, Sin Kit Lo, Qinghua Lu, Liming Zhu, Dehai Zhao , et al. · 2024

Foundation model-enabled generative artificial intelligence facilitates the development and implementation of agents, which can leverage distinguished reasoning and language processing capabilities to takes a proactive, autonomous role to …

Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability Open

Boming Xia, Qinghua Lu, Liming Zhu, Sung Une Lee, Yue Liu , et al. · 2024

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 in contemporary technology. While these models have unlocke…

Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective Open

Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang , et al. · 2024

The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities in generating realistic images, texts, and data patterns. However, these advancements come with heightened con…

A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture Open

Qinghua Lu, Liming Zhu, Xiwei Xu, Yue Liu, Zhenchang Xing , et al. · 2024

Large language model (LLM) based chatbots, such as ChatGPT, have attracted huge interest in foundation models. It is widely believed that foundation models will serve as the fundamental building blocks for future AI systems. However, the a…

Observability and Explainability for Software Systems Decision Making Open

Yan Liu, Abdelwahab Hamou‐Lhadj, Jiye Li, Qinghua Lu · 2023

SOFTWARE SYSTEMS ARE growing into complex systems under expanding adoptions of the digitization of services, operations, and products in a wide range of domains.It becomes common that software systems operate at the scale of several data c…

Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains Open

Yu Cheng, Jieshan Chen, Qing Huang, Zhenchang Xing, Xiwei Xu , et al. · 2023

The emergence of foundation models, such as large language models (LLMs) GPT-4 and text-to-image models DALL-E, has opened up numerous possibilities across various domains. People can now use natural language (i.e., prompts) to communicate…

Developer and End-User Perspectives on Addressing Human Aspects in Mobile eHealth Apps Open

Md. Shamsujjoha, John Grundy, Hourieh Khalajzadeh, Qinghua Lu, Li Li · 2023

Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright Open

Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang , et al. · 2023

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, this online data, when scraped, indexed, and utilized for a…

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare Open

Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx , et al. · 2023

Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. In recent years, concerns have been raised about the technic…

Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future Open

Boming Xia, Dawen Zhang, Yue Liu, Qinghua Lu, Zhenchang Xing , et al. · 2023

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 in this regard, offering an exhaustive inventory of compone…

Operationalizing Responsible AI at Scale: CSIRO Data61's Pattern-Oriented Responsible AI Engineering Approach Open

Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Didar Zowghi , et al. · 2023

research-article Free Access Share on Operationalizing Responsible AI at Scale: CSIRO Data61's Pattern-Oriented Responsible AI Engineering Approach Authors: Qinghua Lu Data61, CSIRO, Australia Data61, CSIRO, AustraliaView Profile , Liming …

Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains Open

Yu Cheng, Jieshan Chen, Qing Huang, Zhenchang Xing, Xiwei Xu , et al. · 2023

The emergence of foundation models, such as large language models (LLMs) GPT-4 and text-to-image models DALL-E, has opened up numerous possibilities across various domains. People can now use natural language (i.e. prompts) to communicate …

Toward the Cure of Privacy Policy Reading Phobia: Automated Generation of Privacy Nutrition Labels From Privacy Policies Open

Shidong Pan, Thong Hoang, Dawen Zhang, Zhenchang Xing, Xiwei Xu , et al. · 2023

Software applications have become an omnipresent part of modern society. The consequent privacy policies of these applications play a significant role in informing customers how their personal information is collected, stored, and used. Ho…

Enhancing Virtual Assistant Intelligence: Precise Area Targeting for Instance-level User Intents beyond Metadata Open

Mengyu Chen, Zhenchang Xing, Jieshan Chen, Chunyang Chen, Qinghua Lu · 2023

Virtual assistants have been widely used by mobile phone users in recent years. Although their capabilities of processing user intents have been developed rapidly, virtual assistants in most platforms are only capable of handling pre-defin…

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