{"id":47328,"date":"2023-12-28T22:42:37","date_gmt":"2023-12-28T14:42:37","guid":{"rendered":"https:\/\/swarma.org\/?p=47328"},"modified":"2023-12-28T22:42:37","modified_gmt":"2023-12-28T14:42:37","slug":"2023%ef%bc%8c%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%a6%82%e4%bd%95%e6%94%b9%e5%8f%98%e8%87%aa%e7%84%b6%e4%b8%8e%e7%a4%be%e4%bc%9a%e7%a7%91%e5%ad%a6%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=47328","title":{"rendered":"2023\uff0c\u5927\u6a21\u578b\u5982\u4f55\u6539\u53d8\u81ea\u7136\u4e0e\u793e\u4f1a\u79d1\u5b66\uff1f"},"content":{"rendered":"
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\u7814\u7a76\u9886\u57df\uff1a\u5927\u8bed\u8a00\u6a21\u578b\uff0cAI for Science\uff0c\u6d8c\u73b0\uff0cAI \u5bf9\u9f50\uff0cAI Agent<\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/section>\n<\/section>\n
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[1] Topics, Authors, and Networks in Large Language Model Research: Trends from a Survey of 17K arXiv Papers<\/span><\/section>\n<\/section>\n<\/blockquote>\n


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[2]Boiko, D.A., MacKnight, R., Kline, B. et al. Autonomous chemical research with large language models. Nature 624, 570\u2013578 (2023).<\/span><\/p>\n

\u300aNature\u901f\u9012\uff1a\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u81ea\u52a8\u5316\u5b66\u7814\u7a76<\/a><\/span>\u300b<\/span><\/section>\n
[3] Zeming Lin et al.<\/em>,Evolutionary-scale prediction of atomic-level protein structure with a language model.Science<\/em>379<\/strong>,1123-1130(2023).DOI:10.1126\/science.ade2574<\/span><\/section>\n
\u300aScience\u524d\u6cbf\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u6d8c\u73b0\u6f14\u5316\u4fe1\u606f\uff0c\u52a0\u901f\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b<\/a>\u300b<\/span><\/section>\n
[4] Contrastive learning in protein language space predicts interactions between drugs and protein targets, Proceedings of the National Academy of Sciences (2023).<\/span><\/section>\n
[5] Extracting Accurate Materials Data from Research Papers with Conversational Language Models and Prompt Engineering\u2014Example of ChatGPT<\/span><\/section>\n
[6]  Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy, arXiv (2023)<\/span><\/section>\n
[7] DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation<\/span><\/section>\n
\u300a\u5927\u8bed\u8a00\u6a21\u578b\u505a\u79d1\u7814\u7684N\u79cd\u53ef\u80fd\u6027\uff1a\u4ece\u81ea\u4e3b\u8fdb\u884c\u79d1\u5b66\u5b9e\u9a8c\u5230\u5199\u7efc\u8ff0\u6587\u7ae0<\/a>\u300b<\/span><\/section>\n
\u300aMax Tegmark \u7ec4\uff1a\u5927\u6a21\u578b\u5b66\u4e60\u5230\u65f6\u95f4\u548c\u7a7a\u95f4\u7684\u7ed3\u6784\u5316\u77e5\u8bc6<\/a>\u300b
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\u56fe5\uff1achatIPCC\u7684\u4fe1\u606f\u5904\u7406\u6d41 [9]<\/span><\/section>\n

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[8] Large language models encode clinical knowledge. Nature 620, 172\u2013180 (2023)<\/span><\/section>\n
\u300aNature \u901f\u9012\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u7f16\u7801\u4e34\u5e8a\u77e5\u8bc6<\/a>\u300b
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[9] chatIPCC: Grounding Conversational AI in Climate Science<\/span><\/section>\n
\u300aNature \u901f\u9012\uff1a\u5927\u6a21\u578b\u8bad\u7ec3\u533b\u5b66\u5168\u624d AI<\/a>\u300b<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u9488\u5bf9\u5927\u6a21\u578b\u7f3a\u5c11\u53ef\u89e3\u91ca\u6027\uff0cAlpaca\u6846\u67b6\u5728\u7b80\u5355\u7684\u6570\u5b57\u63a8\u7406\u4efb\u52a1\u4e2d\u6784\u5efa\u4e86\u5177\u6709\u53ef\u89e3\u91ca\u4e2d\u95f4\u53d8\u91cf\u7684\u56e0\u679c\u6a21\u578b\uff0c\u8be5\u6846\u67b6\u4e5f\u9002\u7528\u4e8e\u62e5\u6709\u6570\u5341\u4ebf\u53c2\u6570\u7684\u5927\u8bed\u8a00\u6a21\u578b[10]\u3002\u4e00\u79cd\u6d89\u53ca\u53cd\u9988\u7684\u5e94\u7528Funsearch[11]\uff0c\u5c06\u9884\u5148\u8bad\u7ec3\u597d\u7684\u5927\u6a21\u578b\u4e0e\u81ea\u52a8\u8bc4\u4f30\u5668\u914d\u5bf9\uff0c\u524d\u8005\u7684\u76ee\u6807\u662f\u4ee5\u8ba1\u7b97\u673a\u4ee3\u7801\u7684\u5f62\u5f0f\u63d0\u4f9b\u521b\u9020\u6027\u7684\u9488\u5bf9\u7ed9\u5b9a\u6570\u5b66\u95ee\u9898\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u540e\u8005\u5219\u8d1f\u8d23\u9632\u6b62\u51fa\u73b0\u5e7b\u89c9\u548c\u4e0d\u6b63\u786e\u7684\u60f3\u6cd5\u3002\u8fd9\u7c7b\u5e94\u7528\u8981\u901a\u8fc7\u5927\u6a21\u578b\u5229\u7528\u5230\u5df2\u6709\u7684\u56e0\u679c\u5173\u7cfb\u65b9\u80fd\u5b8c\u6210\u4efb\u52a1\u3002<\/span><\/section>\n

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[10] Interpretability at Scale: Identifying Causal Mechanisms in Alpaca<\/span><\/section>\n
\u300a\u89e3\u91ca\u5927\u8bed\u8a00\u6a21\u578b\uff1a\u5728 Alpaca \u4e2d\u8bc6\u522b\u56e0\u679c\u673a\u5236<\/a>\u300b<\/span><\/section>\n
\u300a\u56e0\u679c\u63a8\u7406\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\uff1a\u5f00\u8f9f\u56e0\u679c\u5173\u7cfb\u7684\u65b0\u524d\u6cbf<\/a>\u300b<\/span><\/section>\n
[11] Mathematical discoveries from program search with large language models. Nature (2023).<\/span><\/section>\n
\u300aNature \u901f\u9012\uff1a\u5229\u7528\u5927\u6a21\u578b\u7a0b\u5e8f\u641c\u7d22\u4ea7\u751f\u6570\u5b66\u53d1\u73b0<\/a>\u300b<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u4f8b\u5982 Coscientist \uff0c\u4e00\u4e2a\u7531 GPT-4 \u9a71\u52a8\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u3002\u5b83\u80fd\u6839\u636e\u7f51\u4e0a\u641c\u7d22\u7684\u77e5\u8bc6\uff0c\u81ea\u4e3b\u8bbe\u8ba1\u3001\u89c4\u5212\u548c\u6267\u884c\u590d\u6742\u7684\u5b9e\u9a8c[2]\u3002\u51766\u9879\u529f\u80fd\uff0c\uff081\uff09\u4f7f\u7528\u516c\u5f00\u6570\u636e\u89c4\u5212\u5df2\u77e5\u5316\u5408\u7269\u7684\u5316\u5b66\u5408\u6210\uff1b\uff082\uff09\u9ad8\u6548\u641c\u7d22\u548c\u6d4f\u89c8\u5927\u91cf\u786c\u4ef6\u6587\u6863\uff1b\uff083\uff09\u4f7f\u7528\u6587\u6863\u5728\u4e91\u5b9e\u9a8c\u5ba4\u4e2d\u6267\u884c\u9ad8\u7ea7\u6307\u4ee4\uff1b\uff084\uff09\u4f7f\u7528\u4f4e\u7ea7\u6307\u4ee4\u7cbe\u786e\u63a7\u5236\u6db2\u4f53\u5904\u7406\u4eea\u5668\uff1b\uff085\uff09\u5904\u7406\u9700\u8981\u540c\u65f6\u4f7f\u7528\u591a\u4e2a\u786c\u4ef6\u6a21\u5757\u548c\u6574\u5408\u4e0d\u540c\u6570\u636e\u6e90\u7684\u590d\u6742\u79d1\u5b66\u4efb\u52a1\uff1b\u4ee5\u53ca\uff086\uff09\u89e3\u51b3\u9700\u8981\u5206\u6790\u5148\u524d\u6536\u96c6\u7684\u5b9e\u9a8c\u6570\u636e\u7684\u4f18\u5316\u95ee\u9898\uff0c\u5305\u62ec\u524d\u8ff0\u7684\u4e09\u7c7b\u4e2d\u7684\u6bcf\u4e00\u7c7b\uff1a\u524d\u4e24\u9879\u57fa\u4e8e\u76f8\u5173\u6027\uff0c\u4e2d\u95f4\u4e24\u9879\u57fa\u4e8e\u73b0\u6709\u56e0\u679c\u5173\u7cfb\uff0c\u800c\u540e\u4e24\u9879\u8bd5\u56fe\u56de\u7b54\u5982\u679c\u4e0d\u8fd9\u6837\u4f1a\u53d1\u751f\u4ec0\u4e48\u7684\u53cd\u4e8b\u5b9e\u95ee\u9898\u3002<\/span><\/section>\n

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\u56fe7\uff1aCoscientist\u7684\u7cfb\u7edf\u67b6\u6784\u3002\u5c06\u5927\u8bed\u8a00\u6a21\u578b\u4e0e\u4e92\u8054\u7f51\u548c\u6587\u6863\u641c\u7d22\u3001\u4ee3\u7801\u6267\u884c\u548c\u5b9e\u9a8c\u81ea\u52a8\u5316\u7b49\u5de5\u5177\u76f8\u7ed3\u5408\u3002<\/span><\/p>\n


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Nature\u901f\u9012\uff1a\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u81ea\u52a8\u5316\u5b66\u7814\u7a76<\/a><\/section>\n<\/section>\n<\/blockquote>\n


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