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

19 citations · 73 across the 32 of their papers we have counts for

collaborators
Showing 2023Show all

9 papers · 1 filter

cs.HC2023★ 4 cited

Designing with Language: Wireframing UI Design Intent with Generative Large Language Models

Sidong Feng, Mingyue Yuan, Jieshan Chen +2

Wireframing is a critical step in the UI design process. Mid-fidelity wireframes offer more impactful and engaging visuals compared to low-fidelity versions. However, their creatio…

cs.NI2023★ 2 cited

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,…

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★ 3 cited

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…

cs.AI2023

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,…

cs.SE2023

Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain

Qing Huang, Zhenyu Wan, Zhenchang Xing +4

API recommendation methods have evolved from literal and semantic keyword matching to query expansion and query clarification. The latest query clarification method is knowledge gr…

cs.SE2023★ 1 cited

Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names?

Terry Yue Zhuo, Xiaoning Du, Zhenchang Xing +4

Recent breakthroughs in pre-trained code models, such as CodeBERT and Codex, have shown their superior performance in various downstream tasks. The correctness and unambiguity of A…

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…