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\u6700\u806a\u660e\u7684\u5206\u5b50\u5fc3\u667a\u5d4c\u5957\u4e8e\u6700\u806a\u660e\u7684\u795e\u7ecf\u5143\u5fc3\u667a\u4e4b\u4e2d\uff0c\u6700\u806a\u660e\u7684\u795e\u7ecf\u5143\u5fc3\u667a\u53c8\u5d4c\u5957\u4e8e\u6700\u806a\u660e\u7684\u6a21\u5757\u5fc3\u667a\u4e4b\u4e2d\uff0c\u800c\u6700\u806a\u660e\u7684\u6a21\u5757\u5fc3\u667a\u53c8\u5d4c\u5957\u4e8e\u6700\u806a\u660e\u7684\u8d85\u7ea7\u5fc3\u667a\u4e4b\u4e2d\u3002\u5f53\u667a\u4eba\u7684\u8d85\u7ea7\u5fc3\u667a\u4ece\u7bdd\u706b\u548c\u6d1e\u7a74\u53d1\u5c55\u5230\u8d2d\u7269\u4e2d\u5fc3\u548c\u592a\u9633\u80fd\u7535\u6c60\u9635\u5217\u65f6\uff0c\u8fd9\u79cd\u5d4c\u5957\u5f0f\u3001\u5c42\u7ea7\u9012\u589e\u7684\u5fc3\u667a\u63d0\u5347\uff0c\u5728\u667a\u4eba\u7684\u8d85\u7ea7\u5fc3\u667a\u4e2d\u518d\u6b21\u5c55\u73b0\u51fa\u6765\u3002\u968f\u7740\u667a\u4eba\u8d85\u7ea7\u5fc3\u667a\u7684\u53d1\u5c55\uff0c\u8d85\u7ea7\u5fc3\u667a\u7684\u6a21\u5757\u4e5f\u5728\u53d1\u5c55\uff0c\u8fdb\u800c\u63a8\u52a8\u4e86\u79d1\u5b66\u3001\u827a\u672f\u548c\u7ecf\u6d4e\u7684\u53d1\u5c55\u3002 <\/p>\n\n\n\n \u751f\u7269\u8fdb\u5316\u7ecf\u5386\u4e86\u591a\u4e2a\u5c42\u6b21\u7684\u6d8c\u73b0\uff08\u5927\u91cf\u4e0b\u4e00\u5c42\u7684\u5143\u7d20\u5728\u9ad8\u4e00\u5c42\u9762\u4e0a\u663e\u73b0\u51fa\u7684\u5168\u65b0\u7279\u6027\uff09\uff1a —<\/p>\n\n\n\n https:\/\/mp.weixin.qq.com\/s\/_kpzjNqdcNvRXTkVDiFFhQ https:\/\/mp.weixin.qq.com\/s\/3iD_JyGD6c39ePPniS8-WA<\/a> —<\/p>\n\n\n\n https:\/\/mp.weixin.qq.com\/s\/gs0bpnhgWj6RhCvJcREoTA —<\/p>\n\n\n\n \u63a8\u7406\u5c42\u9762\u7684CoT\u8fd8\u6ca1\u6709\u5927\u91cf\u7684\u6570\u636e\u53ef\u4ee5\u7528\u6765\u8bad\u7ec3\uff0c\u8fd8\u4e0d\u662f\u6d8c\u73b0\uff1a https:\/\/mp.weixin.qq.com\/s\/cGr-JlQK8x2q5fMGFNpfew \u300a\u5fc3\u667a\u7b80\u53f2\u300b\u7b2c22\u7ae0 \u6211\u610f\u8bc6\u5230\u6211\uff0c\u51dd\u89c6\u5fc3\u667a\u4e0a\u7684\u65e0\u9650\u955c\u5c4b \u6700\u806a\u660e\u7684\u5206\u5b50\u5fc3\u667a\u5d4c\u5957\u4e8e\u6700\u806a\u660e\u7684\u795e\u7ecf\u5143\u5fc3\u667a\u4e4b\u4e2d\uff0c\u6700\u806a\u660e\u7684 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/posts\/1202"}],"collection":[{"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/comments?post=1202"}],"version-history":[{"count":1,"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/posts\/1202\/revisions"}],"predecessor-version":[{"id":1203,"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/posts\/1202\/revisions\/1203"}],"wp:attachment":[{"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/media?parent=1202"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/categories?post=1202"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/tags?post=1202"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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1\u3001\u65e0\u673a\u7269\u2014\u2014>\u6709\u673a\u7269\uff08RNA\uff09
2\u3001\u6709\u673a\u7269\u2014\u2014>\u7ec6\u80de
3\u3001\u5355\u7ec6\u80de\u2014\u2014>\u591a\u7ec6\u80de
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5\u3001C0\u610f\u8bc6\u2014\u2014>C1\u3001C2\u610f\u8bc6
\u8fd9\u4e9b\u6d8c\u73b0\u5c42\u7ea7\u4e2d\u8fd8\u6709\u8bb8\u591a\u7684\u5c0f\u5c42\u7ea7\u7684\u6d8c\u73b0\uff1a\u5668\u5b98\u3001\u89c6\u89c9\u3001\u8bed\u8a00\u7b49\u7b49\u3002\u4eca\u5929\u7684AI\u53ea\u6709\u4e00\u4e2a\u5c42\u6b21\u7684\u6d8c\u73b0\uff1a\u5927\u91cf\u7684\u795e\u7ecf\u5143\u2014\u2014>\u5927\u6a21\u578b\uff08LLM\uff09\uff0c\u8fd8\u53ea\u662f\u7edf\u8ba1\u5c42\u9762\u7684\uff08\u63a8\u7406\u5c42\u9762\u7684CoT\u8fd8\u6ca1\u6709\u5927\u91cf\u7684\u5355\u5143+\u6570\u636e\u53ef\u4ee5\u7528\u6765\u8bad\u7ec3\uff0c\u8fd8\u4e0d\u662f\u6d8c\u73b0\uff09\u3002<\/p>\n\n\n\n
\u6d8c\u73b0\u4e5f\u5373\u201c\u8ba1\u7b97\u4e0d\u53ef\u7ea6\u6027\uff08computational irreducibility\uff09\u201d\uff1a\u5e95\u5c42\u89c4\u5219\u6f14\u5316\u6d8c\u73b0\u7684\u6574\u4f53\u5c5e\u6027\uff0c\u5bf9\u8ba1\u7b97\u800c\u8a00\uff0c\u5373\u65e0\u6cd5\u901a\u8fc7\u66f4\u7b80\u5316\u7684\u8ba1\u7b97\u6b65\u9aa4\u6765\u9884\u6d4b\u6700\u7ec8\u7ed3\u679c\u3002\u5b87\u5b99\u904d\u5e03\u8fd9\u6837\u7684\u7cfb\u7edf\u3002<\/em>https:\/\/mp.weixin.qq.com\/s\/OhFnufF_pCVv6snRsO1dBQ
\u628a\u6211\u4eec\u5bf9\u6c14\u4f53\u7684\u89c2\u5bdf\u60f3\u8c61\u6210\u2014\u2014\u6211\u4eec\u628a\u4f17\u591a\u5206\u5b50\u7684\u5fae\u89c2\u72b6\u6001\u300c\u5408\u5e76\u300d\u5230\u4e86\u4e00\u8d77\uff0c\u53ea\u5173\u6ce8\u603b\u4f53\u7684\u805a\u5408\u5c5e\u6027\u3002\u7edf\u8ba1\u529b\u5b66\u7684\u4e13\u4e1a\u7528\u8bed\u4f1a\u63d0\u5230\u300c\u7c97\u7c92\u5316\u300d\uff08coarse graining\uff09\u3002\u53ef\u5728\u6211\u4eec\u8fd9\u79cd\u8ba1\u7b97\u5316\u7684\u6846\u67b6\u4e0b\uff0c\u5c31\u80fd\u5f88\u6e05\u695a\u5730\u7528\u8ba1\u7b97\u7684\u65b9\u5f0f\u6765\u523b\u753b\u8fd9\u4e00\u70b9\uff1a\u5728\u5206\u5b50\u5c42\u9762\u4e0a\uff0c\u6709\u4e0d\u53ef\u7ea6\u7684\u8ba1\u7b97\u5728\u8fdb\u884c\uff1b\u800c\u5f53\u89c2\u5bdf\u8005\u60f3\u8981\u300c\u7406\u89e3\u6c14\u4f53\u53d1\u751f\u4e86\u4ec0\u4e48\u300d\uff0c\u89c2\u5bdf\u8005\u81ea\u8eab\u4e5f\u5728\u8fdb\u884c\u8ba1\u7b97\u3002<\/em><\/p>\n\n\n\n
\u300a\u6d8c\u73b0\u4f55\u65f6\u53d1\u751f\uff1f\u673a\u5668\u89c2\u5bdf\u8005\u53ef\u4ee5\u50cf\u4eba\u7c7b\u4e00\u6837\u8bc6\u522b\u6d8c\u73b0\u5417\uff1f\u300b<\/a><\/p>\n\n\n\n
\u300a\u4e09\u4e2a\u7535\u5b50\uff0c\u5c31\u4f1a\u6d8c\u73b0\u51fa\u96c6\u4f53\u884c\u4e3a\u300b
\u4ec5\u4ec5\u4e09\u4e2a\u7535\u5b50\uff0c\u5c31\u5df2\u7ecf\u80fd\u663e\u73b0\u51fa\u5f3a\u70c8\u7684\u7c92\u5b50\u95f4\u76f8\u4e92\u4f5c\u7528\uff1b\u800c\u5f53\u7535\u5b50\u6570\u8fbe\u5230\u4e94\u4e2a\u65f6\uff0c\u76f8\u4e92\u4f5c\u7528\u751a\u81f3\u5f3a\u5230\u8db3\u4ee5\u6a21\u62df\u6570\u5343\u4ebf\u7535\u5b50\u7684\u96c6\u4f53\u884c\u4e3a\u3002<\/em>
https:\/\/www.nature.com\/articles\/d41586-025-01713-9<\/p>\n\n\n\n
https:\/\/arxiv.org\/abs\/2403.04121
\u300aCan Large Language Models Reason and Plan?\u300b
<\/p>\n\n\n\n
\u300aLLM\u795e\u8bdd\u7834\u706d\uff1f\u82f9\u679c\u8bba\u6587\u6700\u65b0\u5b9e\u9524\uff1a\u96be\u4ee5\u5b9e\u73b0\u771f\u6b63\u667a\u80fd\u300b
https:\/\/mp.weixin.qq.com\/s\/YH35jyOZ9jCtHYi3qZR45g
\u300a\u5927\u6a21\u578b\u63a8\u7406\u7684\u5929\u82b1\u677f\u5728\u54ea\u91cc\uff1f\u300b
\u300aThe Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity\u300b
\u4e13\u95e8\u9488\u5bf9\u63a8\u7406\u4efb\u52a1\u8fdb\u884c\u4f18\u5316\u7684\u201c\u5927\u578b\u63a8\u7406\u6a21\u578b\u201d\uff08Large Reasoning Models, LRMs\uff09\u901a\u8fc7\u201c\u94fe\u5f0f\u601d\u7ef4\u201d\uff08chain\u2010of\u2010thought, CoT\uff09\u6216\u81ea\u6211\u53cd\u601d\u673a\u5236\uff0c\u5148\u751f\u6210\u8be6\u5c3d\u7684\u601d\u8003\u8fc7\u7a0b\u518d\u7ed9\u51fa\u7b54\u6848\u3002
– \u4f4e\u590d\u6742\u5ea6\u9636\u6bb5\uff1a\u6807\u51c6LLM\u8868\u73b0\u51fa\u8272\uff0c\u63a8\u7406\u66f4\u9ad8\u6548\u3001\u51c6\u786e\u7387\u751a\u81f3\u8d85\u8fc7LRM\uff1b
– \u4e2d\u7b49\u590d\u6742\u5ea6\u9636\u6bb5\uff1a\u5f15\u5165\u601d\u7ef4\u75d5\u8ff9\u540e\uff0cLRM\u5f00\u59cb\u5728\u51c6\u786e\u7387\u4e0a\u9886\u5148\uff0c\u4f46\u5176\u63a8\u7406token\u6d88\u8017\u4e5f\u663e\u8457\u6500\u5347\uff1b
– \u9ad8\u590d\u6742\u5ea6\u9636\u6bb5\uff1a\u65e0\u8bba\u601d\u7ef4\u4e0e\u5426\uff0c\u6240\u6709\u6a21\u578b\u51c6\u786e\u7387\u5747\u9aa4\u964d\uff0c\u51fa\u73b0\u201c\u63a8\u7406\u5d29\u6e83\u201d\u73b0\u8c61\u2014\u2014\u65e0\u6cd5\u7ed9\u51fa\u4efb\u4f55\u6709\u6548\u89e3\u7b54\u3002
LLMs \u53ea\u662f\u6df1\u5ea6\u5b66\u4e60\u7684\u4e00\u79cd\u5f62\u5f0f\uff0c\u8fd9\u79cd\u65b9\u6cd5\u7684\u5c40\u9650\u6027\u6b63\u65e5\u76ca\u6e05\u6670\uff0c\u6216\u8bb8\u5176\u4ed6\u5f62\u5f0f\u2014\u2014\u5c24\u5176\u662f\u90a3\u4e9b\u66f4\u5584\u4e8e\u5904\u7406\u7b26\u53f7\u7684\u2014\u2014\u6700\u7ec8\u4f1a\u84ec\u52c3\u53d1\u5c55\u8d77\u6765\u3002<\/em>
https:\/\/mp.weixin.qq.com\/s\/4mJm30w6v9mcPujWX02_mA
\u300a\u601d\u7ef4\u94fe\u5e76\u975e\u53ef\u89e3\u91ca\u6027\u300b
https:\/\/www.alphaxiv.org\/abs\/2025.02
\u300aChain-of-Thought Is Not Explainability\u300bBengio
https:\/\/mp.weixin.qq.com\/s\/LxmpNCLvYrlUKymgf1WLsA<\/a>
\u300a\u4ec0\u4e48\u6784\u6210\u4e86\u4f18\u79c0\u7684\u63a8\u7406\u94fe\u300bLLMs\u7684\u63a8\u7406\u8d28\u91cf\u672c\u8eab\u4ecd\u7136\u5904\u4e8e\u4e0d\u7a33\u5b9a\u72b6\u6001\u3002<\/em><\/a>https:\/\/mp.weixin.qq.com\/s\/_5M7uc86kCTWxqSUSPkIfg
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\u300a\u67cf\u62c9\u56fe\u6d1e\u7a74\u4e2d\u7684\u8bed\u8a00\u6a21\u578b\u300b
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