AI RESEARCH
ARGENT: Adaptive Hierarchical Image-Text Representations
arXiv CS.LG
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ArXi:2603.23311v1 Announce Type: cross Large-scale Vision-Language Models (VLMs) such as CLIP learn powerful semantic representations but operate in Euclidean space, which fails to capture the inherent hierarchical structure of visual and linguistic concepts. Hyperbolic geometry, with its exponential volume growth, offers a principled alternative for embedding such hierarchies with low distortion.