Multimodal

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  1. LLaMA-VID: An Image is Worth 2 Tokens -- Efficient Long Video Understanding with LLMs

    LLaMA-VID (Large Language and Video Assistant) is an ECCV 2024 research project that tackles the fundamental bottleneck in video understanding with...

    AI

  2. LAVIS: Salesforce's Library for Vision-Language AI

    Vision-language AI -- models that understand both images and text -- is one of the most rapidly advancing areas of artificial intelligence...

    Open Source

  3. InternVL: Open-Source Vision Language Model Family Scaling to 241B Parameters

    InternVL is a series of open-source vision-language foundation models developed by OpenGVLab at the Shanghai Artificial Intelligence Laboratory. The...

    AI

  4. GLM-4.5: Zhipu AI's Next-Gen Multimodal Foundation Model

    The evolution of foundation models in 2025-2026 has been defined by two trends: multimodality and efficiency. Models that could only process text...

    AI

  5. GEMS: General Multimodal Sensing Framework

    The real world does not present information in a single modality. We experience it through vision, language, audio, and physical sensation...

    AI