3 papers
cs.LG2026
Training Data Selection with Gradient Orthogonality for Efficient Domain Adaptation
Xiyang Zhang, Yuanhe Tian, Hongzhi Wang +1
Fine-tuning large language models (LLMs) for specialized domains often necessitates a trade-off between acquiring domain expertise and retaining general reasoning capabilities, a p…
cs.CL2026
LEAD: Layer-wise Expert-aligned Decoding for Faithful Radiology Report Generation
Ruixiao Yang, Yuanhe Tian, Xu Yang +3
Radiology Report Generation aims to produce accurate and coherent diagnostics from medical images. Although large vision-language models improve report fluency and accuracy, they s…
cs.CV2025
Flowing from Reasoning to Motion: Learning 3D Hand Trajectory Prediction from Egocentric Human Interaction Videos
Mingfei Chen, Yifan Wang, Zhengqin Li +10
Prior works on 3D hand trajectory prediction are constrained by datasets that decouple motion from semantic supervision and by models that weakly link reasoning and action. To addr…