English(EN) AdaAlloc: Adaptive Visual Token Allocation for Long-Video Question Answering

AdaAlloc框架优化长视频问答的视觉标记分配

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-09 05:00

研究人员推出AdaAlloc，一个旨在优化长视频问答视觉标记分配的新型框架。这种无需训练的推理方法通过自适应地平衡全局上下文和详细的局部证据，解决了视觉标记有限的挑战。AdaAlloc规划分配策略，识别相关视频片段，并将其提炼成时间记忆，控制帧采样密度和分辨率。该系统在LVBench和MLVU等基准测试中表现出显著的改进，比均匀采样高出10.5个百分点。 AI

影响优化多模态LLM进行长视频分析，可能提高视频理解任务的效率和准确性。

排序理由该集群包含一篇详细介绍视频问答新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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arXiv cs.CV TIER_1 English(EN) · Joungbin An, Kristen Grauman · 2026-11-09 05:00

AdaAlloc：长视频问答的自适应视觉令牌分配

arXiv:2611.09092v1 Announce Type: new Abstract: Long-video question answering forces multimodal large language models to reason under strict visual-token budgets, creating a tradeoff between broad temporal coverage and fine-grained spatial detail. Uniform sampling preserves cover…

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AdaAlloc：长视频问答的自适应视觉令牌分配

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