arXiv AI
Pretraining of Medical Visual Encoders Toward Multi-modal Large Language Models
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UniSpace: Unified Visual Representation and Scalable Multimodal Modeling
arXiv:2608. 08676v1 Announce Type: cross Abstract: Semantic vision encoders have become a central visual interface for multimodal understanding and semantic conditioning in image generation.
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Let ViT Speak: Generative Language-Image Pre-training
arXiv:2605.00809v3 Announce Type: replace Abstract: In this paper, we present \textbf{Gen}erative \textbf{L}anguage-\textbf{I}mage \textbf{P}re-training (GenLIP), a minimalist generative pretraining...
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Decoupled Visual Processing: Efficient Multimodal Adaptation via Modality-Specific Transformer Substitution
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MoDA: Modulation Adapter for Fine-Grained Visual Grounding in Instructional MLLMs
arXiv:2506. 01850v2 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) have achieved remarkable success in instruction-following tasks by integrating pretrained visual encoders with large language models (LLMs).
arXiv Machine Learning
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Stateful Visual Encoders for Vision-Language Models
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arXiv AI
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Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models
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