3 papers
cs.CL2025
Icon: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation
Qiyuan Chen, Hongsen Huang, Qian Shao +6
Large Language Models (LLMs) require high quality preference datasets to align with human preferences. However, conventional methods for constructing such datasets face significant…
cs.CV2025
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation
Jiaying He, Yitong Lin, Jiahe Chen +2
For the immanent challenge of insufficiently annotated samples in the medical field, semi-supervised medical image segmentation (SSMIS) offers a promising solution. Despite achievi…
cs.CV2025
Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation
Jiahe Chen, Jiahe Ying, Shen Wang +1
Confronting the critical challenge of insufficiently annotated samples in medical domain, semi-supervised medical image segmentation (SSMIS) emerges as a promising solution. Specif…