{"id":48611,"date":"2024-02-28T22:16:45","date_gmt":"2024-02-28T14:16:45","guid":{"rendered":"https:\/\/swarma.org\/?p=48611"},"modified":"2024-02-28T22:16:45","modified_gmt":"2024-02-28T14:16:45","slug":"nat-commun-%e9%80%9f%e9%80%92%ef%bc%9atransformer%e6%9e%b6%e6%9e%84%e9%9a%be%e4%bb%a5%e5%ad%a6%e4%b9%a0%e5%8c%96%e5%ad%a6%e7%bb%93%e6%9e%84%e7%9a%84%e6%89%8b%e6%80%a7%e8%af%86%e5%88%ab","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=48611","title":{"rendered":"Nat.Commun.\u901f\u9012\uff1aTransformer\u67b6\u6784\u96be\u4ee5\u5b66\u4e60\u5316\u5b66\u7ed3\u6784\u7684\u624b\u6027\u8bc6\u522b"},"content":{"rendered":"
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\u5173\u952e\u8bcd\uff1aTransformer\u6a21\u578b\uff0cAI for Science\uff0c\u624b\u6027\u7ed3\u6784\u8bc6\u522b\uff0c\u5b57\u7b26\u4e32\u8868\u5f81<\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/p>\n


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\u8bba\u6587\u9898\u76ee\uff1aDifficulty in chirality recognition for Transformer architectures learning chemical structures from string representations<\/span><\/section>\n
\u8bba\u6587\u671f\u520a\uff1aNature Communications<\/em>
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\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s41467-024-45102-8<\/span><\/section>\n
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\u8fd1\u5e74\u6765\uff0c\u57fa\u4e8e\u591a\u6837\u5316\u5206\u5b50\u7684\u8868\u793a\u5b66\u4e60\u65b9\u6cd5\uff0c\u5f97\u5230\u4e86\u5feb\u901f\u53d1\u5c55\u3002\u5178\u578b\u65b9\u6cd5\u662f\u5c06\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/span>\uff08NLP\uff09<\/span>\u6a21\u578b\u5e94\u7528\u4e8e SMILES<\/span>\uff08\u5206\u5b50\u7ed3\u6784\u7684\u6587\u5b57\u8868\u793a\uff09<\/span>\u3002\u7136\u800c\uff0c\u5173\u4e8e\u8fd9\u4e9b\u6a21\u578b\u5982\u4f55\u7406\u89e3\u5316\u5b66\u7ed3\u6784\u7684\u7814\u7a76\u5f88\u5c11\uff0c\u5c24\u5176\u662f\u5728\u624b\u6027\u8bc6\u522b\u65b9\u9762\u5b58\u5728\u56fa\u6709\u95ee\u9898\u3002<\/span><\/p>\n


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\u6700\u8fd1\u53d1\u8868\u4e8eNature Communications<\/em>\u7684\u4e00\u9879\u7814\u7a76\uff0c\u901a\u8fc7\u5bf9Transformer\u6a21\u578b\u5b66\u4e60\u5316\u5b66\u7ed3\u6784\u7684\u8fc7\u7a0b\u8fdb\u884c\u68c0\u67e5\uff0c\u63ed\u793a\u4e86\u8fd9\u4e9b\u6a21\u578b\u5728\u4ece\u5b57\u7b26\u4e32\u8868\u793a<\/span>\uff08\u5982SMILES\uff09<\/span>\u5b66\u4e60\u5316\u5b66\u7ed3\u6784\u65f6\u7684\u56f0\u96be\u3002\u7814\u7a76\u9996\u5148\u8bad\u7ec3\u4e86\u4e00\u4e2aTransformer\u6a21\u578b\u6765\u7ffb\u8bd1SMILES\u5b57\u7b26\u4e32\uff0c\u5e76\u5728\u4e0d\u540c\u8bad\u7ec3\u9636\u6bb5\u6bd4\u8f83\u4e86\u5206\u5b50\u6307\u7eb9\u4e4b\u95f4\u7684\u5b8c\u5168\u4e00\u81f4\u6027\u548c\u76f8\u4f3c\u6027\u3002\u7ed3\u679c\u8868\u660e\uff0c\u5c3d\u7ba1\u90e8\u5206\u7ed3\u6784\u7684\u8bc6\u522b\u5728\u8bad\u7ec3\u7684\u65e9\u671f\u9636\u6bb5\u5c31\u5df2\u7ecf\u8fbe\u5230\u4e86\u51e0\u4e4e\u5b8c\u5168\u7684\u7ffb\u8bd1\uff0c\u4f46\u5b8c\u5168\u51c6\u786e\u6027\u7684\u63d0\u9ad8\u5374\u662f\u9010\u6e10\u53d1\u751f\u7684\u3002\u8fd9\u610f\u5473\u7740\uff0cTransformer\u6a21\u578b\u5728\u8bad\u7ec3\u7684\u65e9\u671f\u9636\u6bb5\u5c31\u80fd\u8bc6\u522b\u51fa\u5206\u5b50\u7684\u90e8\u5206\u7ed3\u6784\uff0c\u800c\u5bf9\u6574\u4f53\u7ed3\u6784\u7684\u7406\u89e3\u5219\u9700\u8981\u66f4\u957f\u65f6\u95f4\u3002<\/span><\/p>\n


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\u6b64\u5916\uff0c\u7814\u7a76\u8fd8\u53d1\u73b0\uff0cTransformer\u6a21\u578b\u5728\u5b66\u4e60\u5316\u5b66\u7ed3\u6784\u65f6\uff0c\u6709\u65f6\u4f1a\u5728\u8f83\u4f4e\u7684\u51c6\u786e\u6027\u6c34\u5e73\u4e0a\u505c\u6ede\u4e00\u6bb5\u65f6\u95f4\uff0c\u7136\u540e\u7a81\u7136\u63d0\u9ad8\u3002\u4e3a\u4e86\u660e\u786e\u8fd9\u4e00\u73b0\u8c61\u7684\u539f\u56e0\uff0c\u7814\u7a76\u6bd4\u8f83\u4e86SMILES\u4e2d\u6bcf\u4e2a\u5b57\u7b26\u7684\u7ffb\u8bd1\u51c6\u786e\u6027\uff0c\u5e76\u53d1\u73b0\u4e86\u4e00\u79cd\u65b9\u6cd5\u6765\u9632\u6b62\u505c\u6ede\u5e76\u7a33\u5b9a\u5b66\u4e60\u8fc7\u7a0b\u3002<\/span><\/p>\n


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\u8fd9\u9879\u7814\u7a76\u4e0d\u4ec5\u4e3a\u7406\u89e3NLP\u6a21\u578b\u5982\u4f55\u5904\u7406\u5316\u5b66\u6570\u636e\u63d0\u4f9b\u4e86\u65b0\u7684\u89c1\u89e3\uff0c\u800c\u4e14\u8fd8\u4e3a\u6539\u8fdb\u8fd9\u4e9b\u6a21\u578b\u5728\u5316\u5b66\u9886\u57df\u5e94\u7528\u7684\u80fd\u529b\u63d0\u4f9b\u4e86\u53ef\u80fd\u7684\u65b9\u5411\u3002<\/span><\/p>\n


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\u56fe1 \u5b66\u4e60\u8fc7\u7a0b\u4e2dTransformer\u7684\u90e8\u5206\/\u6574\u4f53\u7ed3\u6784\u8bc6\u522b<\/span><\/p>\n

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AI+Science \u8bfb\u4e66\u4f1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u53d1\u73b0\u76f8\u4e92\u8d4b\u80fd\u7684\u65b0\u8303\u5f0f\uff1aAI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/span><\/section>\n

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\u200d<\/span>\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/strong><\/section>\n
1. <\/strong>PNAS\u901f\u9012\uff1a\u591a\u6a21\u6001\u56fe\u50cftransformer\u7cfb\u7edf\u7cbe\u51c6\u4f30\u8ba1\u751f\u7269\u5b66\u5e74\u9f84\u53ca\u9884\u6d4b\u75be\u75c5<\/a><\/strong><\/span><\/strong><\/section>\n
2. <\/strong>Nat. Mach. Intell.\u901f\u9012\uff1atransformer \u7f51\u7edc\u8bc4\u4ef7\u86cb\u767d\u8d28\u7ed3\u5408\u754c\u9762<\/a><\/strong><\/span><\/strong><\/section>\n
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3.<\/strong> PNAS \u901f\u9012\uff1a\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b\u4e2d transformer \u7684\u53d8\u6362\u80fd\u529b<\/a><\/a><\/strong><\/strong><\/strong><\/span><\/section>\n
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4. <\/strong><\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/section>\n
<\/strong><\/strong>5.<\/strong> \u9f99\u5e74\u5927\u8fd0\u8d77\uff0c\u5b66\u4e60\u6b63\u5f53\u65f6\uff01\u89e3\u9501\u96c6\u667a\u5168\u7ad9\u5185\u5bb9\uff0c\u5f00\u542f\u65b0\u5e74\u5b66\u4e60\u8ba1\u5212<\/a><\/strong><\/strong><\/strong><\/strong><\/span><\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/span><\/strong><\/strong><\/strong><\/section>\n
6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/strong><\/span><\/strong><\/span><\/strong><\/p>\n

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<\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u5173\u952e\u8bcd\uff1aTransformer\u6a21\u578b\uff0cAI for Science\uff0c\u624b\u6027\u7ed3\u6784\u8bc6\u522b\uff0c\u5b57\u7b26\u4e32\u8868\u5f81 \u8bba\u6587\u9898\u76ee\uff1aDifficulty in chirality recognition for Transformer architectures learning chemical structures from…<\/p>\n","protected":false},"author":0,"featured_media":48607,"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\/48611"}],"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=48611"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/48611\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/48607"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=48611"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=48611"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=48611"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=48611"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}