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CSKV_Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios

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  1. 1. 📑 论文元数据 (Metadata)
  2. 2. 🎯 1. 核心洞察 (Executive Summary)
  3. 3. ⚙️ 2. 技术解构 (Methodology Deep Dive)
    1. 3.1. 2.1 整体架构 (Architecture)
    2. 3.2. 2.2 关键创新点 (Core Innovations)
  • 公式: 对第 $l$ 层的 Key cache，优化目标可写为$$\mathcal{L}^{(l)}_\text{rec}
    1. 1. 📉 3. 实验与评估 (Evaluation & Analysis)
    2. 2. 🔨 4. 批判性思考 (Critical Review)
      1. 2.1. ✅ 优点 (Pros)
      2. 2.2. ❌ 局限性与质疑 (Cons & Weaknesses)
      3. 2.3. 💡 启发与未来工作 (Impact)
    3. 3. 🧠 5. 深度追问 (Questions for the Authors)
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