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Discovering Functionally Selective Brain Regions with a Deep Topographic Multimodal Model
Arxiv
0+阅读 · 6月16日
Planning with Unified Multimodal Models
Arxiv
0+阅读 · 6月15日
M*: A Modular, Extensible, Serving System for Multimodal Models
Arxiv
0+阅读 · 6月13日
DIVA: Harnessing the Representation Divergence in Unified Multimodal Models for Mutual Reinforcement
Arxiv
0+阅读 · 5月25日
LiveK12Bench: Have Large Multimodal Models Truly Conquered High School-level Examinations?
Arxiv
0+阅读 · 5月26日
GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models
Arxiv
0+阅读 · 6月10日
Navigating Gigapixel Pathology Images with Large Multimodal Models
Arxiv
0+阅读 · 6月11日
HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers
Arxiv
0+阅读 · 6月11日
EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards
Arxiv
0+阅读 · 6月9日
MultiToP: Learning to Patch Visual Tokens to Mitigate Hallucinations in Video Large Multimodal Models
Arxiv
0+阅读 · 6月11日
M*: A Modular, Extensible, Serving System for Multimodal Models
Arxiv
0+阅读 · 6月10日
DIP: Efficient Large Multimodal Model Training with Dynamic Interleaved Pipeline
Arxiv
0+阅读 · 3月23日
X-GS: An Extensible Open Framework Unifying 3DGS Architectures with Downstream Multimodal Models
Arxiv
0+阅读 · 3月10日
InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing
Arxiv
0+阅读 · 3月10日
Cornserve: A Distributed Serving System for Any-to-Any Multimodal Models
Arxiv
0+阅读 · 3月12日
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