jayzhu486/StreamingBench-Slice

StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding 🏠 Project Page | 📄 arXiv Paper | 📦 Dataset | 🏅Leaderboard 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… See the full description on the dataset page: https://huggingface.co/datasets/jayzhu486/StreamingBench-Slice.