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 +2
Radiology Report Generation (RRG) aims to produce accurate and coherent diagnostics from medical images. Although large vision language models (LVLM) improve report fluency and acc…
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…