MLDA: Test-Time Multi-Level Adaptation with Dynamic Alignment for Compositional Zero-Shot Learning
Miaoge Li, Yu Liu, Jingcai Guo
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Aug 2026
Human-Centric Intelligence in the Era of Foundation Models: A Survey
A full-spectrum human context taxonomy is introduced that integrates six interconnected levels by viewing humans as observable subjects through visual appearance and spatial geometry, as dynamic actors through kinematic dynamics and interaction modeling, and as situated agents through world simulation and embodied agency.
Yang Chen, Tianqi Wang, Xiao-Wen Jiang et al.
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