{"id":58365,"date":"2025-04-10T22:20:38","date_gmt":"2025-04-10T14:20:38","guid":{"rendered":"https:\/\/swarma.org\/?p=58365"},"modified":"2025-04-10T22:20:38","modified_gmt":"2025-04-10T14:20:38","slug":"nat-mach-intell%e9%80%9f%e9%80%92%ef%bc%9a%e5%85%a8%e6%99%af%e8%a7%86%e8%a7%92%e4%b8%8b%e5%93%ba%e4%b9%b3%e5%8a%a8%e7%89%a9%e8%a1%b0%e8%80%81%e8%bf%87%e7%a8%8b%e4%b8%ad%e7%9a%84%e7%bb%86%e8%83%9e","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=58365","title":{"rendered":"Nat. Mach. Intell\u901f\u9012\uff1a\u5168\u666f\u89c6\u89d2\u4e0b\u54fa\u4e73\u52a8\u7269\u8870\u8001\u8fc7\u7a0b\u4e2d\u7684\u7ec6\u80de\u7fa4\u4f53\u52a8\u6001"},"content":{"rendered":"
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\u8bba\u6587\u9898\u76ee\uff1aA quantitative analysis of knowledge-learning preferences in large language models in molecular science<\/span><\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/www.nature.com\/articles\/s42256-024-00977-6<\/span><\/span><\/section>\n
\u671f\u520a\u540d\u79f0\uff1a<\/span>Nature Machine Intelligence<\/span><\/em><\/span><\/section>\n<\/blockquote>\n

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PanSci\u4e3a\u8870\u8001\u76f8\u5173\u7684\u7ec6\u80de\u7fa4\u4f53\u53d8\u5316\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5168\u9762\u7684\u76ee\u5f55\uff0c\u5177\u6709\u6027\u522b\u95f4\u5e73\u8861\u7684\u4ee3\u8868\u6027\u3001\u66f4\u5e7f\u6cdb\u7684\u5e74\u9f84\u8303\u56f4\u548c\u663e\u8457\u66f4\u5927\u7684\u7ec6\u80de\u6570\u91cf\u3002\u7814\u7a76\u8868\u660e\uff0c\u8870\u8001\u5728\u7ec6\u80de\u6c34\u5e73\u4e0a\u662f\u901a\u8fc7\u52a8\u6001\u53d8\u5316\u800c\u975e\u7b80\u5355\u7ebf\u6027\u8f68\u8ff9\u8fdb\u884c\u7684\u3002\u901a\u8fc7\u8bc6\u522b\u663e\u8457\u8870\u8001\u76f8\u5173\u53d8\u5316\u7684200\u591a\u79cd\u7ec6\u80de\u72b6\u6001\uff0c<\/span>\u7814\u7a76\u5c55\u793a\u4e86\u53ef\u6269\u5c55\u7684\u5355\u7ec6\u80de\u57fa\u56e0\u7ec4\u6280\u672f\u5728\u53d1\u73b0\u9488\u5bf9\u8870\u8001\u548c\u75be\u75c5\u7684\u5173\u952e\u7ec6\u80de\u9776\u70b9\u65b9\u9762\u7684\u6f5c\u529b<\/span><\/strong>\u3002\u672a\u6765\uff0c\u7814\u7a76\u4eba\u5458\u671f\u5f85\u901a\u8fc7\u66f4\u9ad8\u65f6\u95f4\u5206\u8fa8\u7387\u7684\u7814\u7a76\uff0c\u66f4\u51c6\u786e\u5730\u8ffd\u8e2a\u8870\u8001\u8fc7\u7a0b\u4e2d\u7ec6\u80de\u7fa4\u4f53\u7684\u52a8\u6001\u53d8\u5316\uff0c\u53ef\u80fd\u63ed\u793a\u51fa\u66f4\u591a\u7684\u7ec6\u80de\u8fc1\u79fb\u6a21\u5f0f\uff0c\u4ece\u800c\u63d0\u4f9b\u66f4\u5168\u9762\u7684\u8870\u8001\u7406\u89e3\u3002<\/span><\/span><\/section>\n


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\u5f6d\u6668<\/span><\/span><\/span> <\/span><\/span>| \u7f16\u8bd1<\/span><\/span><\/strong><\/span><\/strong><\/p>\n


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\u5927\u6a21\u578b\u4e0e\u751f\u7269\u533b\u5b66\uff1a<\/span><\/strong><\/p>\n

AI + Science\u7b2c\u4e8c\u5b63\u8bfb\u4e66\u4f1a<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u5927\u6a21\u578b\u4e0e\u751f\u7269\u533b\u5b66\uff1aAI + Science\u7b2c\u4e8c\u5b63\u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/span>
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\u63a8\u8350\u9605\u8bfb<\/span><\/span><\/strong><\/strong><\/strong><\/section>\n
1. <\/span><\/strong>Nat. Mach. Intell. \u524d\u6cbf\uff1a\u6df1\u5ea6\u5b66\u4e60\u4ece\u5355\u7ec6\u80de\u8f6c\u5f55\u7ec4\u6570\u636e\u91cd\u5efa\u7ec6\u80de\u751f\u957f\u548c\u52a8\u6001\u8f68\u8ff9<\/a><\/span><\/strong><\/span><\/strong><\/section>\n
2. <\/span><\/strong>Nat. Commun.\u901f\u9012\uff1a\u5229\u7528\u6df1\u5ea6\u751f\u6210\u6a21\u578bSpatialScope\u6574\u5408\u7a7a\u95f4\u548c\u5355\u7ec6\u80de\u8f6c\u5f55\u7ec4\u6570\u636e<\/a><\/span><\/strong><\/span><\/strong><\/section>\n
3. <\/span><\/strong>PRX Life \u8fdb\u5c55\uff1a\u7ec6\u80de\u72b6\u6001\u8f6c\u5316\u4e2d\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u7684\u52a8\u529b\u5b66\u7814\u7a76<\/a><\/span><\/strong><\/span><\/strong><\/section>\n
4. <\/span><\/strong><\/span>\u6d8c\u73b0\u52a8\u529b\u5b66\u5982\u4f55\u7528\u6765\u5206\u6790\u590d\u6742\u7cfb\u7edf\uff1f | \u65b0\u8bfe\u4e0a\u7ebf<\/a><\/span><\/strong><\/strong><\/span><\/section>\n
<\/strong>5. <\/span><\/strong>AI\u65f6\u4ee3\u7684\u5b66\u4e60\uff1a\u5171\u63a2\u4eba\u7c7b\u5b66\u4e60\u7684\u590d\u6742\u6027<\/span><\/a><\/span><\/strong><\/section>\n

6. <\/span><\/strong>\u63a2\u7d22\u8005\u8ba1\u5212 | \u96c6\u667a\u4ff1\u4e50\u90e82025\u5185\u5bb9\u56e2\u961f\u62db\u52df\uff08\u5168\u804c&\u517c\u804c\uff09<\/a><\/span><\/strong><\/span><\/p>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/span><\/section>\n<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u5173\u952e\u8bcd\uff1a\u5355\u7ec6\u80de\u8f6c\u5f55\u7ec4\u5b66\uff0c\u8870\u8001\uff0c\u7ec6\u80de\u7fa4\u4f53\u52a8\u6001\uff0c\u6027\u522b\u5dee\u5f02\uff0c\u514d\u75ab\u6dcb\u5df4\u7ec6\u80de\uff0c\u975e\u7ebf\u6027\u52a8\u529b\u5b66 \u8bba\u6587\u9898\u76ee\uff1aA quantitative analysis of knowledge-learning preferences in large language models in molecular science …<\/p>\n","protected":false},"author":0,"featured_media":58355,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/58365"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=58365"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/58365\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/58355"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=58365"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=58365"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=58365"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=58365"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}