2 papers
cs.CL2026
From Tags to Trees: Structuring Fine-Grained Knowledge for Controllable Data Selection in LLM Instruction Tuning
Zihan Niu, Wenping Hu, Junmin Chen +3
Effective and controllable data selection is critical for LLM instruction tuning, especially with massive open-source datasets. Existing approaches primarily rely on instance-level…
cs.RO2025
U-DiT Policy: U-shaped Diffusion Transformers for Robotic Manipulation
Linzhi Wu, Aoran Mei, Xiyue Wang +2
Diffusion-based methods have been acknowledged as a powerful paradigm for end-to-end visuomotor control in robotics. Most existing approaches adopt a Diffusion Policy in U-Net arch…