[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-daily-huggingface-ai-papers-research-updates-zh":3,"article-related-daily-huggingface-ai-papers-research-updates-zh":32,"series-industry-33d1bb43-0d47-42d6-878f-4283fefc5aa1":77},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":24,"views":28,"created_at":29,"published_at":30,"topic_cluster_id":31},"33d1bb43-0d47-42d6-878f-4283fefc5aa1","daily-huggingface-ai-papers-research-updates-zh","5 個功能，讓 HuggingFace 論文每天自動到位","\u003Cp>想每天直接看到 HuggingFace 熱門 AI 論文，不用自己到處找嗎？\u003C\u002Fp>\u003Cp data-speakable=\"summary\">這個 repo 每天自動更新 HuggingFace 熱門 AI 論文，還保留歷史歸檔與 JSON 介面。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>規格 A\u003C\u002Fth>\u003Cth>規格 B\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Daily feed\u003C\u002Ftd>\u003Ctd>27 篇\u002F日\u003C\u002Ftd>\u003Ctd>每日 00:00 UTC 更新\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Archive\u003C\u002Ftd>\u003Ctd>5,102+ 篇\u003C\u002Ftd>\u003Ctd>日、週、月快照\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Automation\u003C\u002Ftd>\u003Ctd>GitHub Actions\u003C\u002Ftd>\u003Ctd>Python 流程\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. 每天直接看到熱門論文\u003C\u002Fh2>\u003Cp>這個 repo 的核心價值很單純：把 HuggingFace Papers 當天的熱門論文整理成一份可直接讀的\u003Ca href=\"\u002Fnews\u002Fai-qinggan-peiban-xingui-kaifa-zhinan-zh\">清單\u003C\u002Fa>。你不用再分別打開 HuggingFace、arXiv 和 \u003Ca href=\"\u002Ftag\u002Fgithub\">GitHub\u003C\u002Fa>，先看一眼就知道今天社群在關注什麼。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783301568176-2m5e.png\" alt=\"5 個功能，讓 HuggingFace 論文每天自動到位\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>目前快照顯示 27 篇，且每篇通常都附上原始頁面、PDF 或程式碼連結。像 \u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Fpapers\u002F2607.02512\">Program-as-Weights\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Fpapers\u002F2607.02255\">AgenticSTS\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fhuggingface.co\u002Fpapers\u002F2607.01642\">Multi-Resolution Flow Matching\u003C\u002Fa> 這類條目，都能直接點進去看。\u003C\u002Fp>\u003Cul>\u003Cli>每日 00:00 UTC 自動刷新\u003C\u002Fli>\u003Cli>最新資料放在 \u003Ccode>data\u002Flatest.json\u003C\u002Fcode>\u003C\u002Fli>\u003Cli>可直接跳到 arXiv 和 PDF\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. 歷史歸檔能拿來追趨勢\u003C\u002Fh2>\u003Cp>它不只是當天的熱門榜，還保留日、週、月三種歸檔。這讓你可以回頭比對：上週火的是什麼、這週是否延續、某個主題是不是突然爆紅又退潮。\u003C\u002Fp>\u003Cp>目前累積已超過 5,102 篇，對做研究掃描、內部簡報、週報或新聞信的人來說，這種歷史量很實用。你不是只看見一個時間點，而是能看見研究熱度的變化。\u003C\u002Fp>\u003Cul>\u003Cli>日、週、月快照都保留\u003C\u002Fli>\u003Cli>資料集中在 \u003Ccode>data\u002F\u003C\u002Fcode>\u003C\u002Fli>\u003Cli>適合做主題回顧與趨勢觀察\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. JSON 格式方便接到自動化流程\u003C\u002Fh2>\u003Cp>如果你想把論文\u003Ca href=\"\u002Fnews\u002Fbuild-production-vector-db-rag-pipeline-zh\">資料\u003C\u002Fa>接進腳本、儀表板或內部工具，這個 repo 已經把資料整理成機器可讀的 JSON。你不用先爬 HTML，也不用手動清洗頁面內容。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783301567265-c0ir.png\" alt=\"5 個功能，讓 HuggingFace 論文每天自動到位\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>README 還示範了 cURL、Python、JavaScript 的讀法，所以很容易接到自己的流程裡。對分析師或工程團隊來說，這代表你可以快速做篩選、排名，或把新論文推到 Slack。\u003C\u002Fp>\u003Ccode>curl https:\u002F\u002Fraw.githubusercontent.com\u002FAtharvaDomale\u002FDaily-HuggingFace-AI-Papers\u002Fmain\u002Fdata\u002Flatest.json\u003C\u002Fcode>\u003Ch2>4. 幫你快速篩出值得讀的論文\u003C\u002Fh2>\u003Cp>這份清單不是單純堆\u003Ca href=\"\u002Fnews\u002F5-vector-databases-power-ai-search-zh\">資料\u003C\u002Fa>，而是幫你做第一輪過濾。它會把 star 數、來源連結和可用資源放在一起，讓你比較容易判斷哪些論文值得先看。\u003C\u002Fp>\u003Cp>如果你每天只有幾分鐘，這種整理方式特別省時間。README 提到它能省下 30 分鐘以上的找文獻時間，對比自己在多個網站之間來回切換，這個差距很明顯。\u003C\u002Fp>\u003Cul>\u003Cli>用 star 數快速判斷熱度\u003C\u002Fli>\u003Cli>有程式碼連結，方便看可重現性\u003C\u002Fli>\u003Cli>適合研究者、ML 工程師、學生\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. 乾淨的 Python 排程管線\u003C\u002Fh2>\u003Cp>這個專案本身也值得看：它用 Python 寫成，並透過 GitHub Actions 定時更新。架構不複雜，但很完整，適合 fork 成自己的每日論文追蹤器。\u003C\u002Fp>\u003Cp>因為流程自動化，維護成本不高。你可以把它當成一個實際範例，理解怎麼把研究資料抓取、歸檔，再重新發布成固定格式。\u003C\u002Fp>\u003Ccode>python -c \"import requests; print(requests.get('https:\u002F\u002Fraw.githubusercontent.com\u002FAtharvaDomale\u002FDaily-HuggingFace-AI-Papers\u002Fmain\u002Fdata\u002Flatest.json').status_code)\"\u003C\u002Fcode>\u003Ch2>怎麼挑\u003C\u002Fh2>\u003Cp>如果你想要一個每天固定更新的 HuggingFace 論文入口，這個 repo 很適合。重點在於它同時提供最新清單、歷史歸檔與可自動化的 JSON，對研究者和做內部知識整理的人都很實用。\u003C\u002Fp>\u003Cp>如果你只是偶爾查一篇論文，直接上 HuggingFace 可能就夠了；但如果你想長期追蹤 AI 研究動向，這份清單會比零散搜尋更穩定，也更省力。\u003C\u002Fp>","5 個功能看懂這個 HuggingFace 論文 repo：每天 27 篇更新、累積 5,102+ 篇歸檔，適合做閱讀清單與趨勢追蹤。","github.com","https:\u002F\u002Fgithub.com\u002FAtharvaDomale\u002FDaily-HuggingFace-AI-Papers",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783301568176-2m5e.png","industry","zh","60bda9b1-b32c-42cd-ba70-3ed9a634d8a5",[17,18,19,20,21,22,23],"HuggingFace papers","AI papers","daily research feed","GitHub Actions","JSON automation","paper archive","research tracking",[25,26,27],"每天可直接看到 HuggingFace 熱門 AI 論文，省去跨站搜尋。","5,102+ 篇歸檔適合做趨勢追蹤、週報與研究回顧。","JSON 與 Python\u002FGitHub Actions 讓它能直接接到自動化流程。",0,"2026-07-06T01:32:21.250478+00:00","2026-07-06T01:32:21.231+00:00","9d8ea374-f9e2-44bd-b242-099d1b1576c7",{"tags":33,"relatedLang":36,"relatedPosts":40},[34],{"name":20,"slug":35},"github-actions",{"id":15,"slug":37,"title":38,"language":39},"daily-huggingface-ai-papers-research-updates-en","Daily HuggingFace AI Papers keeps research moving","en",[41,47,53,59,65,71],{"id":42,"slug":43,"title":44,"cover_image":45,"image_url":45,"created_at":46,"category":13},"7e049d5e-918d-4e3c-9f00-e51605e0614a","ai-weekly-2026-w28-zh","AI 週報：2026-06-29 ~ 2026-07-06","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783311629012-e9jj.png","2026-07-06T04:00:29.723326+00:00",{"id":48,"slug":49,"title":50,"cover_image":51,"image_url":51,"created_at":52,"category":13},"45d27c8c-2a46-4130-84ca-fe834a19e6e1","ai-qinggan-peiban-xingui-kaifa-zhinan-zh","情感陪伴新规前下线清單","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783299781169-52vy.png","2026-07-06T01:02:36.920863+00:00",{"id":54,"slug":55,"title":56,"cover_image":57,"image_url":57,"created_at":58,"category":13},"96fe1893-45d2-4782-afbc-d68a1bcc03d9","meta-1829-billion-ai-infrastructure-recovery-zh","Meta 砸 1829 亿后，AI 算力开始算账","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783297977286-ya4s.png","2026-07-06T00:32:31.678634+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"category":13},"d9b88ae7-a7dc-485e-8c0a-17f476f9d4c5","china-ai-unicorns-2026-four-practical-prompts-zh","中国AI独角兽的4个实战提示词","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783274644410-4zzh.png","2026-07-05T18:03:15.650293+00:00",{"id":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"category":13},"ed469b78-dee1-4522-8d44-f03939da23e4","5-vector-databases-power-ai-search-zh","5 款向量資料庫，AI 搜尋各有主場","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783256567344-aj46.png","2026-07-05T13:02:21.083177+00:00",{"id":72,"slug":73,"title":74,"cover_image":75,"image_url":75,"created_at":76,"category":13},"c6b8ceb8-703b-4c03-b6cb-268ce1a2c929","anthropic-latest-week-policy-pricing-zh","Anthropic 這週先看政策與定價","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783252968921-9yx8.png","2026-07-05T12:02:18.729664+00:00",[78,83,88,93,98,103,108,113,118,123],{"id":79,"slug":80,"title":81,"created_at":82},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":84,"slug":85,"title":86,"created_at":87},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":89,"slug":90,"title":91,"created_at":92},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":94,"slug":95,"title":96,"created_at":97},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":99,"slug":100,"title":101,"created_at":102},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":104,"slug":105,"title":106,"created_at":107},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":109,"slug":110,"title":111,"created_at":112},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":114,"slug":115,"title":116,"created_at":117},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":119,"slug":120,"title":121,"created_at":122},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":124,"slug":125,"title":126,"created_at":127},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]