Dazhuang Research

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Research

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notes/research/x/openclaw-token-freedom-2026-03-08.md2026-03-08 笔记
notes/research/x/2026-03-21-1028-browserbase-cli.mdBrowserbase CLI
notes/research/training-framework-versions-2026-03-19.md大模型训练框架版本调研
notes/research/sglang-vllm-versions-2026-03-19.mdSGLang vs vLLM 版本调研
notes/research/news/热点汇总-report-20260314.md热点新闻汇总 - 2026 年 3 月 14 日
notes/research/news/iran-war-x-report-20260308.md🇮🇷 2026 伊朗战争 X/Twitter 舆情汇总报告
notes/research/news/iran-us-israel-monitor.md伊朗 - 美国 - 以色列 新闻监控
notes/research/news/china-military-taiwan-report-20260308.md🇨🇳 中国军委变化与台海局势报告
notes/research/huggingface-models-2026-03-19.mdHuggingFace 模型调研报告
notes/research/github/visual-explainer-2026-03-03.mdVisual Explainer 项目笔记
notes/research/github/twitter-cli-20260310.mdTwitter-CLI 笔记
notes/research/github/paperclip-2026-03-19.mdPaperclip 项目调研报告
notes/research/github/opencli-skill-2026-03-17.mdopencli-skill
notes/research/github/oh-my-claudecode-usage-guide.mdoh-my-claudecode 使用指南
notes/research/github/oh-my-claudecode-research.mdoh-my-claudecode 调研报告
notes/research/github/msa-memory-sparse-attention-2026-03-19.mdMSA (Memory Sparse Attention) 项目笔记
notes/research/github/larksuite-cli-2026-03-28.md飞书/Lark 开放平台命令行工具
notes/research/github/gstack-2026-03-18.mdgstack - Garry Tan 的 Claude Code 软件工厂
notes/research/github/everything-claude-code-2026-03-18.mdeverything-claude-code - Claude Code 完整配置集合
notes/research/github/cli-anything-research-20260310.mdCLI-Anything 调研报告
notes/research/github/clawport-ui-research-20260310.mdClawPort UI 调研报告
notes/research/github/boss-cli-20260314.mdboss-cli - BOSS 直聘命令行工具
notes/research/github/autoresearch-at-home.mdautoresearch-at-home
notes/research/github/2026-03-29-1618-hermes-mod.mdHermes Mod
notes/research/github/2026-03-29-1533-daVinci-LLM.mddaVinci-LLM
notes/research/github/2026-03-21-0716-uncommonroute.mdUncommonRoute
notes/research/github/2026-03-20-0835-metaclaw.mdMetaClaw
notes/research/github/2026-03-20-0818-msa-memory-sparse-attention.mdMSA (Memory Sparse Attention)
notes/research/arxiv/reopold-arxiv-2603.11137-20260314.mdScaling Reasoning Efficiently via Relaxed On-Policy Distillation
notes/research/arxiv/paper-neural-thickets-2603.12228.mdNeural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
notes/research/arxiv/opsdc-arxiv-2603.05433-20260314.mdOn-Policy Self-Distillation for Reasoning Compression
notes/research/arxiv/hopchain-2603.17024.mdHopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning
notes/research/arxiv/arxiv-csai-survey-2026-03-week1.mdarXiv cs.AI 3 月第一周深度调研报告
notes/research/arxiv/arxiv-2603.07685-moe-megatron.mdScalable Training of Mixture-of-Experts Models with Megatron Core
notes/research/arxiv/arxiv-2602.12566-m2rl.mdTo Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models
notes/research/arxiv/2026-03-26-2116-arxiv-feedback-collection.mdarXiv 网站用户反馈数据收集需求
notes/research/arxiv/2026-03-22-1332-code-foundation-models-survey-arxiv-2511-18538.md📄 From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence
notes/research/arxiv/2026-03-22-0945-cbrl-arxiv-2603-18953.md📄 Context Bootstrapped Reinforcement Learning (CBRL)
notes/research/arxiv/2026-03-20-0738-arxiv-classification-chat.md需求记录
notes/research/arxiv/2026-03-16-1946-attention-residuals.mdAttention Residuals (AttnRes)
notes/research/arxiv/2026-03-16-1843-yuan3-ultra.mdYuan3.0 Ultra: A Trillion-Parameter Enterprise-Oriented MoE LLM
notes/research/2026-03-25-0902-distillation-without-the-dark.mdDistillation Without the Dark - GAD 生成式对抗蒸馏
notes/research/2026-03-24-0737-rllm.mdRLLM - 统一后训练框架