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WAM-Cache:世界动作模型KV复用加速框架

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2026年10月9日,arXiv·Robotics(一手)发布 WAM-Cache 框架,面向高效 World Action Models 的陈旧度受限 KV 复用。该框架免训练,跨 chunk 保留分层 KV 表示,只重算稀疏刷新 token;刷新集通过动作专家交叉注意力结合视觉潜在意外进行选择,并用严格年龄上限抑制误差累积。目前公开信息仅此一篇报道,未见后续验证或对比数据。

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Oct 9, 2026
  1. arXiv · Robotics
    WAM-Cache:面向高效 World Action Models 的陈旧度受限 KV 复用

    WAM-Cache 是一个免训练框架,在 World Action Models 中跨 chunk 保留分层 KV 表示,只重算稀疏刷新 token,以动作专家交叉注意力结合视觉潜在意外选择刷新集,并用严格年龄上限抑制误差累积。

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