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English(EN) Pixel Decodability Is Not a Compression Signal: Causally Evaluating Importance Proxies for Visual KV-Cache Eviction

新论文发现视觉 KV 缓存保留与任务无关

一项新的研究论文挑战了视觉语言模型中的视觉键值(KV)缓存保留任务相关信息的假设。研究发现,保留在 KV 缓存中的视觉内容的数量在很大程度上与任务无关,并且与信息是否被因果用于回答问题无关。虽然注意力机制与因果利用显示出微弱的相关性,但像素可解码的可重构性被证明是 KV 缓存压缩的一个糟糕信号,一个模型保留的任务无关内容比另一个模型多 2.7 倍。 AI

影响 挑战了当前关于 KV 缓存效率的假设,并为优化视觉语言模型性能提供了新的方向。

排序理由 研究论文发布在 arXiv 上,详细介绍了视觉语言模型中视觉 KV 缓存的发现。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新论文发现视觉 KV 缓存保留与任务无关

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研究论文发布在 arXiv 上,详细介绍了视觉语言模型中视觉 KV 缓存的发现。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Chenyu Zhou, Qiliang Jiang, Shuning Wu, Xu Zhou ·

    像素可解码性并非压缩信号:因果评估视觉 KV 缓存驱逐的重要性代理

    arXiv:2609.13012v1 Announce Type: new Abstract: Vision-language models retain a substantial amount of pixel-decodable visual content in their visual key-value cache. We show, in our setting, that this retention is task-inert: across our preregistered tests, how much a unit retain…