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Zhi Tan

2 accepted papers

2026

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models

ICML 2026poster

Taxonomies provide key information about the semantic relationships between concepts and the inherent organization of vision and language. Despite their impressive capabilities, large multimodal models (LMMs) often lack taxonomic knowledge, leading to low hierarchical visual recognition (HVR) consis…

Cited by 0SourceScholar
2026

Taxonomy-Aware Representation Alignment for Hierarchical Visual Recognition with Large Multimodal Models

CVPR 2026

A high-performing, general-purpose visual understanding model should map visual inputs to a taxonomic tree of labels, identify novel categories beyond the training set for which few or no publicly available images exist. Large Multimodal Models (LMMs) have achieved remarkable progress in fine-graine

Cited by 0SourcecodeScholar