8 papers
A Comprehensive Study of Implementation Bugs in Multi-modal Agents
Suwan Li, Lei Bu, Shangqing Liu +5
Multi-Modal Agents (M-agents), empowered by Large Language Models (LLMs), excel in various complex, open-world scenarios such as autonomous driving and robotics. However, their uni…
PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks
Mark Huasong Meng, Hao Guan, Liuhuo Wan +3
We present PAODING, a toolkit to debloat pretrained neural network models through the lens of data-free pruning. To preserve the model fidelity, PAODING adopts an iterative process…
Detecting Manipulated Contents Using Knowledge-Grounded Inference
Mark Huasong Meng, Ruizhe Wang, Meng Xu +2
The detection of manipulated content, a prevalent form of fake news, has been widely studied in recent years. While existing solutions have been proven effective in fact-checking a…
Detecting Multi-Parameter Constraint Inconsistencies in Python Data Science Libraries
Xiufeng Xu, Fuman Xie, Chenguang Zhu +3
Modern AI- and Data-intensive software systems rely heavily on data science and machine learning libraries that provide essential algorithmic implementations and computational fram…
Exploring ChatGPT App Ecosystem: Distribution, Deployment and Security
Chuan Yan, Ruomai Ren, Mark Huasong Meng +3
ChatGPT has enabled third-party developers to create plugins to expand ChatGPT's capabilities.These plugins are distributed through OpenAI's plugin store, making them easily access…
Model-Enhanced LLM-Driven VUI Testing of VPA Apps
Suwan Li, Lei Bu, Guangdong Bai +3
The flourishing ecosystem centered around voice personal assistants (VPA), such as Amazon Alexa, has led to the booming of VPA apps. The largest app market Amazon skills store, for…