19 papers
Scaling GUI Agents with Visual State Transitions
Xiangyan Liu, Kaixin Li, Haonan Wang +6
We introduce State Transition Pretraining (STP) as a new scaling axis for GUI agents. During the STP stage, we continually pretrain a unified multimodal model on visual state trans…
Explicit Representation Alignment for Multimodal Sentiment Analysis
Baode Wang, Ziming Wang, Huacan Wang +2
Multimodal affective analysis aims to understand human sentiment and emotion by jointly modeling heterogeneous modalities such as text and images. However, multimodal models often…
DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf Models
Biao Wu, Yiwu Zhong, Meng Fang +1
High-quality and diverse multimodal data are essential for improving vision-language models (VLMs), yet existing datasets often contain noisy, redundant, and poorly aligned samples…
UIPress: Bringing Optical Token Compression to UI-to-Code Generation
Dasen Dai, Shuoqi Li, Ronghao Chen +3
UI-to-Code generation requires vision-language models (VLMs) to produce thousands of tokens of structured HTML/CSS from a single screenshot, making visual token efficiency critical…
FlashSign: Pose-Free Guidance for Efficient Sign Language Video Generation
Liuzhou Zhang, Zeyu Zhang, Biao Wu +10
Sign language plays a crucial role in bridging communication gaps between the deaf and hard-of-hearing communities. However, existing sign language video generation models often re…
Transferring Physical Priors into Remote Sensing Segmentation via Large Language Models
Yuxi Lu, Kunqi Li, Zhidong Li +4
Semantic segmentation of remote sensing imagery is fundamental to Earth observation. Achieving accurate results requires integrating not only optical images but also physical varia…