6 papers
BAMI: Training-Free Bias Mitigation in GUI Grounding
Borui Zhang, Bo Zhang, Bo Wang +6
GUI grounding is a critical capability for enabling GUI agents to execute tasks such as clicking and dragging. However, in complex scenarios like the ScreenSpot-Pro benchmark, exis…
Nuanced Emotion Recognition Based on a Segment-based MLLM Framework Leveraging Qwen3-Omni for AH Detection
Liang Tang, Hongda Li, Jiayu Zhang +5
Emotion recognition in videos is a pivotal task in affective computing, where identifying subtle psychological states such as Ambivalence and Hesitancy holds significant value for…
AdaZoom-GUI: Adaptive Zoom-based GUI Grounding with Instruction Refinement
Siqi Pei, Liang Tang, Tiaonan Duan +9
GUI grounding is a critical capability for vision-language models (VLMs) that enables automated interaction with graphical user interfaces by locating target elements from natural…
Evolving in Tasks: Empowering the Multi-modality Large Language Model as the Computer Use Agent
Yuhao Cheng, Liang Tang, Shuxian Li +5
Computer use agents represent an emerging area in artificial intelligence, aiming to operate computers autonomously to fulfill user tasks, attracting significant attention from bot…
Z-Space: A Multi-Agent Tool Orchestration Framework for Enterprise-Grade LLM Automation
Qingsong He, Jing Nan, Jiayu Jiao +5
Large Language Models can break through knowledge and timeliness limitations by invoking external tools within the Model Context Protocol framework to achieve automated execution o…
DiTraj: training-free trajectory control for video diffusion transformer
Cheng Lei, Jiayu Zhang, Yue Ma +6
Diffusion Transformers (DiT)-based video generation models with 3D full attention exhibit strong generative capabilities. Trajectory control represents a user-friendly task in the…