3 papers
cs.LG2026
DRIFT: Refining Instruction Data via On-Policy Data Attribution
Zefan Wang, Lincheng Li, Tianyu Yu +1
Optimizing the training data distribution for Supervised Fine-Tuning (SFT) dictates the capability of Large Language Models (LLMs). While existing data curation methods excel at ac…
cs.CL2026
CL-bench Life: Can Language Models Learn from Real-Life Context?
Shihan Dou, Yujiong Shen, Chenhao Huang +35
Today's AI assistants such as OpenClaw are designed to handle context effectively, making context learning an increasingly important capability for models. As these systems move be…
cs.CV2025
Multimodal Latent Diffusion Model for Complex Sewing Pattern Generation
Shengqi Liu, Yuhao Cheng, Zhuo Chen +6
Generating sewing patterns in garment design is receiving increasing attention due to its CG-friendly and flexible-editing nature. Previous sewing pattern generation methods have b…