Haiwen Diao
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This paper proposes ERA, a framework for efficient multimodal large language models using entropy-guided visual token pruning, rectified attention, and bias-aware token recycling.
The paper presents SenseNova-Vision, a unified multimodal model for computer vision tasks using natural language instructions and optional visual prompts, trained primarily on a new corpus and requiring no task-specific modifications.
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Vision as Unified Multimodal Generation
Xiaoyang Han, Jianhua Li, Kewang Deng, Zukai Chen +13 more
The paper presents SenseNova-Vision, a unified multimodal model for computer vision tasks using natural language instructions and optional visual prompts, trained primarily on a new corpus and requiri…