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

19 citations · 46 across the 22 of their papers we have counts for

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14 papers · 1 filter

cs.SE2026

Lossless Tensor Compression as Program Synthesis

Jieke Shi, Junda He, Wenjia Jiang +11

Model checkpoints are growing in both number and size, which makes archival, transfer, and deployment increasingly costly. General-purpose compressors can reduce storage requiremen…

cs.SE2026

ESG Reporting Lifecycle Management with Large Language Models and AI Agents

Thong Hoang, Mykhailo Klymenko, Xiwei Xu +6

Environmental, Social, and Governance (ESG) standards have been increasingly adopted by organizations to demonstrate accountability towards ethical, social, and sustainability goal…

cs.SE2025★ 3 cited

AgentArcEval: An Architecture Evaluation Method for Foundation Model based Agents

Qinghua Lu, Dehai Zhao, Yue Liu +6

The emergence of foundation models (FMs) has enabled the development of highly capable and autonomous agents, unlocking new application opportunities across a wide range of domains…

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.SE2025

SeeAction: Towards Reverse Engineering How-What-Where of HCI Actions from Screencasts for UI Automation

Dehai Zhao, Zhenchang Xing, Qinghua Lu +2

UI automation is a useful technique for UI testing, bug reproduction, and robotic process automation. Recording user actions with an application assists rapid development of UI aut…

cs.SE2024

Architectural Patterns for Designing Quantum Artificial Intelligence Systems

Mykhailo Klymenko, Thong Hoang, Xiwei Xu +4

Utilising quantum computing technology to enhance artificial intelligence systems is expected to improve training and inference times, increase robustness against noise and adversa…

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

From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps

Jieshan Chen, Zhen Wang, Jiamou Sun +5

Mobile apps are essential in daily life but frequently employ deceptive patterns, such as visual emphasis or linguistic nudging, to manipulate user behavior. Existing research larg…

cs.SE2024★ 2 cited

A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model

Jingwen Zhou, Qinghua Lu, Jieshan Chen +4

The rapid advancement of AI technology has led to widespread applications of agent systems across various domains. However, the need for detailed architecture design poses signific…

cs.SE2024★ 16 cited

Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models

Zejun Zhang, Zhenchang Xing, Xiaoxue Ren +2

Pythonic idioms are highly valued and widely used in the Python programming community. However, many Python users find it challenging to use Pythonic idioms. Adopting a rule-based…

cs.SE2023

Let's Discover More API Relations: A Large Language Model-based AI Chain for Unsupervised API Relation Inference

Qing Huang, Yanbang Sun, Zhenchang Xing +5

APIs have intricate relations that can be described in text and represented as knowledge graphs to aid software engineering tasks. Existing relation extraction methods have limitat…

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

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

Qinghua Lu, Liming Zhu, Xiwei Xu +3

The recent release of large language model (LLM) based chatbots, such as ChatGPT, has attracted huge interest in foundation models. It is widely believed that foundation models wil…

cs.SE2023★ 4 cited

Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible AI Engineering Approach

Qinghua Lu, Yuxiu Luo, Liming Zhu +3

The recent release of ChatGPT has gained huge attention and discussion worldwide, with responsible AI being a key topic of discussion. How can we ensure that AI systems, including…