AI RESEARCH
Continual Learning with Vision-Language Models via Semantic-Geometry Preservation
arXiv CS.LG
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ArXi:2603.12055v1 Announce Type: cross Continual learning of pretrained vision-language models (VLMs) is prone to catastrophic forgetting, yet current approaches adapt to new tasks without explicitly preserving the cross-modal semantic geometry inherited from pre