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SpikingMamba_ Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba

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Article table of contents TOP
  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)
  4. 4. 📉 3. 实验与评估 (Evaluation & Analysis)
    1. 4.1. 3.1 零样本推理性能与对比
    2. 4.2. 3.2 语言建模困惑度与精度–能耗折中
    3. 4.3. 3.3 能耗建模与节能收益分析
    4. 4.4. 3.4 消融实验与组件贡献
  5. 5. 🔨 4. 批判性思考 (Critical Review)
    1. 5.1. ✅ 优点 (Pros)
    2. 5.2. ❌ 局限性与质疑 (Cons & Weaknesses)
    3. 5.3. 💡 启发与未来工作 (Impact)
  6. 6. 🧠 5. 深度追问 (Questions for the Authors)
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