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20232025
most citedTo Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods

19 citations · 65 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.SE2025

RAGOps: Operating and Managing Retrieval-Augmented Generation Pipelines

Xiwei Xu, Hans Weytjens, Dawen Zhang +3

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 a…

cs.SE2024★ 2 cited

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems

Dawen Zhang, Xiwei Xu, Chen Wang +2

Significant efforts has been made to expand the use of Large Language Models (LLMs) beyond basic language tasks. While the generalizability and versatility of LLMs have enabled wid…

cs.SE2024

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…

cs.SE2023★ 19 cited

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…

cs.SE2023★ 2 cited

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…

cs.SE2023★ 1 cited

Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment of Online Automated Privacy Policy Generators for Mobile Apps

Shidong Pan, Dawen Zhang, Mark Staples +4

Privacy regulations protect and promote the privacy of individuals by requiring mobile apps to provide a privacy policy that explains what personal information is collected and how…