4 papers
OS-SPEAR: A Toolkit for the Safety, Performance,Efficiency, and Robustness Analysis of OS Agents
Zheng Wu, Yi Hua, Zhaoyuan Huang +8
The evolution of Multimodal Large Language Models (MLLMs) has shifted the focus from text generation to active behavioral execution, particularly via OS agents navigating complex G…
Constructing Composite Features for Interpretable Music-Tagging
Chenhao Xue, Weitao Hu, Joyraj Chakraborty +5
Combining multiple audio features can improve the performance of music tagging, but common deep learning-based feature fusion methods often lack interpretability. To address this p…
Quantifying Compositionality of Classic and State-of-the-Art Embeddings
Zhijin Guo, Chenhao Xue, Zhaozhen Xu +4
For language models to generalize correctly to novel expressions, it is critical that they exploit access compositional meanings when this is justified. Even if we don't know what…
AutoGeTS: Knowledge-based Automated Generation of Text Synthetics for Improving Text Classification
Chenhao Xue, Yuanzhe Jin, Adrian Carrasco-Revilla +2
When developing text classification models for real world applications, one major challenge is the difficulty to collect sufficient data for all text classes. In this work, we addr…