jayzhu486/

StreamingBench-Slice

	StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding






🏠 Project Page |
📄 arXiv Paper |
📦 Dataset |
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StreamingBench evaluates Multimodal Large Language Models (MLLMs) in real-time, streaming video understanding tasks. 🌟

[NEW! 2025.05.15] 🔥: Seed1.5-VL achieved ALL model SOTA with a score of 82.80 on the Proactive Output. [NEW! 2025.03.17] ⭐: ViSpeeker achieved Open-Source SOTA with a score of 61.60 on the… See the full description on the dataset page: https://huggingface.co/datasets/jayzhu486/StreamingBench-Slice.