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<feed xmlns="http://www.w3.org/2005/Atom"><title>Research Digest · Zixun Huang</title><id>https://alexhuang13.github.io/digest/</id><link href="https://alexhuang13.github.io/digest/"/><link rel="self" href="https://alexhuang13.github.io/digest/feed.xml"/><updated>2026-10-29T12:53:00Z</updated><author><name>Zixun Huang</name></author><entry><title>预测配比，辨认收益</title><id>https://alexhuang13.github.io/digest/2026-10-29.html</id><link href="https://alexhuang13.github.io/digest/2026-10-29.html"/><updated>2026-10-29T12:53:00Z</updated><summary>Meta Models · 数据筛选的收益边界 · 精读LoRA</summary></entry><entry><title>范数增长与环境组成</title><id>https://alexhuang13.github.io/digest/2026-10-28.html</id><link href="https://alexhuang13.github.io/digest/2026-10-28.html"/><updated>2026-10-28T12:22:00Z</updated><summary>MuonGS · SynthAPI · MoMuSAM · 精读Performer</summary></entry><entry><title>末次迭代与外推歧义</title><id>https://alexhuang13.github.io/digest/2026-10-27.html</id><link href="https://alexhuang13.github.io/digest/2026-10-27.html"/><updated>2026-10-27T12:15:00Z</updated><summary>有限步Muon · Rashomon拟合 · 工具变量预测 · 精读Lottery Ticket</summary></entry><entry><title>扰动、状态与采样路径</title><id>https://alexhuang13.github.io/digest/2026-10-26.html</id><link href="https://alexhuang13.github.io/digest/2026-10-26.html"/><updated>2026-10-26T13:04:35Z</updated><summary>SOMA · 调度器张量别名 · 数据广度 · 精读DDIM</summary></entry><entry><title>这条轨迹，究竟来自哪个策略？</title><id>https://alexhuang13.github.io/digest/2026-10-25.html</id><link href="https://alexhuang13.github.io/digest/2026-10-25.html"/><updated>2026-10-25T12:49:00Z</updated><summary>搜索 agent RL · 混合版本 rollout · 精读 TRPO</summary></entry><entry><title>评得准，未必教得好</title><id>https://alexhuang13.github.io/digest/2026-10-24.html</id><link href="https://alexhuang13.github.io/digest/2026-10-24.html"/><updated>2026-10-24T12:09:00Z</updated><summary>生成式奖励模型 · Rollout 一致性 · 精读 Mamba</summary></entry><entry><title>误差的形状，教师的优势</title><id>https://alexhuang13.github.io/digest/2026-10-23.html</id><link href="https://alexhuang13.github.io/digest/2026-10-23.html"/><updated>2026-10-23T12:13:00Z</updated><summary>PolarGD · AOPD · 安全探针 scaling · 精读 GD 的最大间隔偏置</summary></entry><entry><title>时序、几何与正态性的边界</title><id>https://alexhuang13.github.io/digest/2026-10-22.html</id><link href="https://alexhuang13.github.io/digest/2026-10-22.html"/><updated>2026-10-22T15:15:00Z</updated><summary>数据×学习率 · Muon 初始化 · 图检验 · 精读 Kaplan scaling laws</summary></entry><entry><title>步长、尺度与多目标前沿</title><id>https://alexhuang13.github.io/digest/2026-10-21.html</id><link href="https://alexhuang13.github.io/digest/2026-10-21.html"/><updated>2026-10-21T12:13:26Z</updated><summary>MuPACE · 常步长 Muon · Pareto 前沿 · 精读 InstructGPT</summary></entry><entry><title>多算哪一步，多看哪种数据</title><id>https://alexhuang13.github.io/digest/2026-10-20.html</id><link href="https://alexhuang13.github.io/digest/2026-10-20.html"/><updated>2026-10-20T12:24:17Z</updated><summary>Polar Switch · 循环深度 · 表格数据扩展 · 精读 Score-SDE</summary></entry><entry><title>预算改变几何，状态压缩历史</title><id>https://alexhuang13.github.io/digest/2026-10-19.html</id><link href="https://alexhuang13.github.io/digest/2026-10-19.html"/><updated>2026-10-19T13:07:28Z</updated><summary>BMuon · 小规模外推 · 异步 RL · 精读 Linear Transformers</summary></entry><entry><title>同一策略，不同轨迹</title><id>https://alexhuang13.github.io/digest/2026-10-18.html</id><link href="https://alexhuang13.github.io/digest/2026-10-18.html"/><updated>2026-10-18T12:45:00Z</updated><summary>长程 RL 的一致性 · 选择器与预算 · 精读 NTK</summary></entry><entry><title>删去什么，保留什么</title><id>https://alexhuang13.github.io/digest/2026-10-17.html</id><link href="https://alexhuang13.github.io/digest/2026-10-17.html"/><updated>2026-10-17T12:53:04Z</updated><summary>样本筛选 · 弹性模型 · 后训练博客 · 精读 Chinchilla</summary></entry><entry><title>预算、截断与迁移</title><id>https://alexhuang13.github.io/digest/2026-10-16.html</id><link href="https://alexhuang13.github.io/digest/2026-10-16.html"/><updated>2026-10-16T12:40:48Z</updated><summary>大规模预训练 · Muon 预算对照 · STOPD · 精读 DPO</summary></entry><entry><title>稳定项、精度与噪声</title><id>https://alexhuang13.github.io/digest/2026-10-15.html</id><link href="https://alexhuang13.github.io/digest/2026-10-15.html"/><updated>2026-10-15T12:24:05Z</updated><summary>Muon 的渐近几何 · 混合精度 scaling · Spork · 精读 DDPM</summary></entry><entry><title>噪声、方向与实验预算</title><id>https://alexhuang13.github.io/digest/2026-10-14.html</id><link href="https://alexhuang13.github.io/digest/2026-10-14.html"/><updated>2026-10-14T18:31:28Z</updated><summary>Muon 的 batch-size 效应 · Scaling law 的主动实验设计</summary></entry></feed>
