✨AdaptToken: Entropy-based Adaptive Token Selection for MLLM Long Video Understanding

📝 Summary:
AdaptToken enables efficient long video understanding for MLLMs by using model uncertainty to dynamically select relevant tokens. It allocates a global token budget and supports early stopping, significantly improving accuracy and reducing inference time across benchmarks.

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28696
• PDF: https://arxiv.org/pdf/2603.28696
• Project Page: https://haozheqi.github.io/adapt-token
• Github: https://github.com/HaozheQi/AdaptToken

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#MLLM #VideoUnderstanding #MachineLearning #AIResearch #TokenSelection