We study double auctions for markets in which goods are valuable in bundles, such as data, model weights, and fine-tuned AI assets. A key friction in such markets is No Assembly: a platform may be unable, for legal or technical reasons, to combine components supplied by different sellers into a single bundle. We formul...
UpDown-SC is presented, a training-free polar descriptor that first canonicalizes gravity and then represents two complementary surfaces: the upper envelope of lower/middle structures and the lower envelope of overhead structures that gives the best or second-best F1max and AUPR under threshold-based acceptance while r...
Jie Xu, Yong-Xin Yang, Zi-Yi Jin et al.· 0 citations
This work introduces MedVision, a large-scale dataset and benchmark specifically designed to evaluate and improve VLMs on quantitative medical image analysis, and demonstrates how supervised and reinforcement fine-tuning on MedVision significantly enhances performance across detection, T/L size estimation, and A/D meas...
Yongcheng Yao, Yongshuo Zong, Raman Dutt et al.· 0 citations
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