Tag: multimodal AI
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Hierarchical Pre-Training of Vision Encoders with LLMs
Discover HIVE, a novel hierarchical pre-training method that enhances vision encoders with large language models for superior multimodal AI performance.
Dynin-Omni: Unified Omnimodal Diffusion AI Model
Discover Dynin-Omni, the first unified omnimodal diffusion model integrating text, image, speech, and video for advanced AI understanding and generation.
HippoCamp: Benchmarking AI Agents for PC File Management
Discover HippoCamp, a benchmark evaluating AI agents' contextual reasoning and multimodal file management on personal computers with real-world data.
Uni-SafeBench: Safety Risks in Unified Multimodal Models
Explore Uni-SafeBench, a benchmark assessing safety challenges in Unified Multimodal Large Models and their impact on AI performance.
Trimodal Deep Learning for Glioma Survival Prediction
Explore how trimodal deep learning combining histopathology, gene expression, and MRI improves glioma survival prediction accuracy.