2 citations · 4 across the 13 of their papers we have counts for
5 papers · 1 filter
Benchmarking and Training Reward Models for Cross-Source Evidence Grounding in Search Agents
Haochen Zhao, Minsheng Hao, Zheng Li +8
Existing approaches to training and evaluating search agents focus heavily on final-answer quality, largely neglecting how generated answers map back to retrieved evidence. Recent…
Enhanced Knowledge Distillation for Detection Transformer via Teacher Prediction Refinement
Yitong Xing, Yuhao Cheng, Yanping Li +1
Detection Transformers (DETRs) achieve strong performance in object detection but remain challenging to deploy on edge devices due to their high computational cost. Existing DETR d…
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…
WildGHand: Learning Anti-Perturbation Gaussian Hand Avatars from Monocular In-the-Wild Videos
Hanhui Li, Xuan Huang, Wanquan Liu +5
Despite recent progress in 3D hand reconstruction from monocular videos, most existing methods rely on data captured in well-controlled environments and therefore degrade in real-w…