{"id":34358,"date":"2024-12-05T00:57:23","date_gmt":"2024-12-04T16:57:23","guid":{"rendered":"https:\/\/17aitech.com\/?p=34358"},"modified":"2024-12-05T00:57:23","modified_gmt":"2024-12-04T16:57:23","slug":"%e6%b5%99%e5%a4%a7%e3%80%81%e8%85%be%e8%ae%af%e5%9b%a2%e9%98%9f%e5%8f%91%e5%b8%83%e7%a7%91%e5%ad%a6llm%e5%a4%a7%e8%a7%84%e6%a8%a1%e8%af%84%e6%b5%8b%e5%9f%ba%e5%87%86%ef%bc%8c%e5%9b%bd%e4%ba%a7","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=34358","title":{"rendered":"\u6d59\u5927\u3001\u817e\u8baf\u56e2\u961f\u53d1\u5e03\u79d1\u5b66LLM\u5927\u89c4\u6a21\u8bc4\u6d4b\u57fa\u51c6\uff0c\u56fd\u4ea7\u5927\u6a21\u578b\u8868\u73b0\u4eae\u773c"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u6d59\u5927\u3001\u817e\u8baf\u56e2\u961f\u53d1\u5e03\u79d1\u5b66LLM\u5927\u89c4\u6a21\u8bc4\u6d4b\u57fa\u51c6\uff0c\u56fd\u4ea7\u5927\u6a21\u578b\u8868\u73b0\u4eae\u773c<\/a><\/p>\n

<\/a><\/p>\n

\u7f16\u8f91 | ScienceAI<\/p>\n

\u968f\u7740\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/mark>\uff08LLMs\uff09\u5728\u79d1\u5b66\u7814\u7a76\u9886\u57df\u7684\u5e7f\u6cdb\u5e94\u7528\uff0c\u8bc4\u4f30\u8fd9\u4e9b\u6a21\u578b\u5728\u7406\u89e3\u548c\u5e94\u7528\u79d1\u5b66\u77e5\u8bc6\u65b9\u9762\u7684\u80fd\u529b\u53d8\u5f97\u5c24\u4e3a\u91cd\u8981\uff0c\u4f46\u662f\u79d1\u5b66\u9886\u57df\u5168\u9762\u8bc4\u4f30 LLMs \u79d1\u5b66\u77e5\u8bc6\u7684\u9ad8\u7ea7\u57fa\u51c6<\/mark>\u975e\u5e38\u7f3a\u4e4f\u3002<\/p>\n

\u8fd1\u65e5\uff0c\u6765\u81ea\u6d59\u6c5f\u5927\u5b66 NLP \u5b9e\u9a8c\u5ba4\u4e0e\u817e\u8baf<\/mark> AI Lab \u7684\u7814\u7a76\u8005\u6784\u5efa\u4e86 SciKnowEval \u8bc4\u6d4b\u57fa\u51c6<\/mark>\uff0c\u5b9a\u4e49\u4e86 L1 \u5230 L5 \u4e0d\u540c\u5c42\u7ea7\u7684\u79d1\u5b66\u667a\u80fd\uff0c\u5171\u5305\u542b\u5316\u5b66\u548c\u751f\u7269\u9886\u57df 50,000 \u4e2a\u4e0d\u540c\u5c42\u6b21\u7684\u79d1\u5b66\u8bc4\u6d4b\u9898\u76ee\uff0c\u5e76\u5229\u7528\u8be5\u6570\u636e\u96c6\u7528\u4e8e\u5bf9 20 \u4e2a\u5f00\u6e90\u548c\u95ed\u6e90 LLMs \u8fdb\u884c\u57fa\u51c6<\/mark>\u6d4b\u8bd5\u3002<\/p>\n

\u5176\u4e2d\uff0c\u62e5\u6709\u5343\u4ebf\u81f3\u4e07\u4ebf\u53c2\u6570<\/mark>\u7684\u901a\u7528\u5927\u8bed\u8a00\u6a21\u578b<\/mark>\u5982 GPT-4o\u3001Gemini1.5-Pro \u548c Claude3-Sonnet \u8868\u73b0\u51fa\u8272\uff0c\u6574\u4f53\u6027\u80fd\u5927\u5e45\u4f18\u4e8e\u4e2d\u5c0f\u578b\u5f00\u6e90\u6a21\u578b\uff0c\u5982 Qwen1.5 \u548c Llama3 \u7b49\u3002<\/p>\n

\u76f8\u5173\u7814\u7a76\u4ee5\u300aSciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models<\/em>\u300b\u4e3a\u9898\uff0c\u53d1\u5e03\u5728\u9884\u5370\u5e73\u53f0\u00a0arXiv<\/em> \u4e0a\u3002<\/p>\n

<\/a><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2406.09098<\/em><\/section>\n

\u4e00\u822c\u6765\u8bf4\uff0c\u540c\u4e00\u7cfb\u5217\u7684\u6a21\u578b\u7684\u5927\u5c0f\u4e0e\u5176\u6027\u80fd\u6210\u6b63\u76f8\u5173\uff0c\u4f8b\u5982\uff0cGalactica-30B \u7684\u8868\u73b0\u5c31\u660e\u663e\u4f18\u4e8e Galactica-6.7B\u3002<\/p>\n

\u4f5c\u8005\u8fd8\u8bc4\u6d4b\u4e86\u4e00\u7cfb\u5217\u79d1\u5b66\u4e13\u4e1a\u9886\u57df\u5927\u6a21\u578b\uff0c\u5982\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u3001\u82cf\u5dde\u5b9e\u9a8c\u5ba4\u548c\u601d\u5fc5\u9a70<\/mark>\u8054\u5408\u7814\u53d1\u7684\u00a0ChemDFM-13B<\/a>\uff0c\u4ee5\u53ca\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd<\/mark>\u5b9e\u9a8c\u5ba4\u5f00\u53d1\u7684 ChemLLM \u7cfb\u5217\u7b49\u3002<\/p>\n

\u6b64\u7c7b\u9886\u57df\u5927\u6a21\u578b\u5927\u90fd\u5728\u5f00\u6e90\u6a21\u578b\u57fa\u7840\u4e0a\uff0c\u5229\u7528\u79d1\u5b66\u9886\u57df\u8bed\u6599\u8fdb\u4e00\u6b65\u9884\u8bad\u7ec3\uff0c\u5e76\u8fdb\u884c\u7ecf\u8fc7\u7cbe\u5de7\u8bbe\u8ba1\u7684\u5fae\u8c03\u6240\u5f97\u3002<\/p>\n

\u5728\u4e13\u4e1a\u9886\u57df\u77e5\u8bc6\u6d4b\u8bd5\u4e2d\uff0c\u6b64\u7c7b\u9886\u57df\u5927\u6a21\u578b\u6574\u4f53\u8868\u73b0\u4f18\u79c0\uff0c\u7279\u522b\u662f\u767e\u4ebf\u53c2\u6570<\/mark>\u7684ChemDFM-13B\uff0c\u4e0d\u4ec5\u5168\u9762\u9886\u5148\u5176\u4ed6\u5f00\u6e90\u6a21\u578b\uff0c\u5176\u5316\u5b66\u6c34\u5e73\u4e5f\u6574\u4f53\u903c\u8fd1 GPT-4o\u3001Gemini1.5-Pro \u7b49\u5343\u4ebf\u751a\u81f3\u4e07\u4ebf\u53c2\u6570<\/mark>\u7684\u901a\u7528\u5927\u6a21\u578b\uff0c\u663e\u793a\u51fa\u5782\u57df\u79d1\u5b66\u5927\u6a21\u578b\u7684\u4f18\u52bf\u3002<\/p>\n

\u8868 1\uff1a\u5316\u5b66\u9886\u57df\u4e2d LLMs \u4e94\u4e2a\u7ea7\u522b\u7684\u96f6\u6837\u672c\u8868\u73b0<\/p>\n

<\/a><\/section>\n

\u4ece\u8bc4\u6d4b\u7ed3\u679c\u8fd8\u53ef\u4ee5\u53d1\u73b0\uff0cL1-L4 \u7684\u6027\u80fd\u4e0e L5 \u7684\u6027\u80fd\u6392\u540d\u6709\u65f6\u76f8\u5dee\u8f83\u5927\u3002\u5728\u5316\u5b66\u9886\u57df\u6700\u9ad8\u7ea7\u7684 L5 \u7ea7\u4efb\u52a1\u4e2d\uff0cChemDFM-13B \u751a\u81f3\u5168\u9762\u8d85\u8d8a\u4e86\u901a\u7528\u5927\u6a21\u578b\u3002<\/p>\n

\u4e3a\u4e86\u63a2\u7a76\u8fd9\u4e2a\u73b0\u8c61\u51fa\u73b0\u7684\u539f\u56e0\uff0c\u8fdb\u4e00\u6b65\u89c2\u5bdf\u5404\u4e2a\u7ef4\u5ea6\u4efb\u52a1\u7684\u7ec4\u6210\u60c5\u51b5\uff0c\u53ef\u4ee5\u53d1\u73b0 L1-L4 \u4efb\u52a1\u5927\u90fd\u662f\u8bba\u6587\u65b0\u6784\u5efa\u7684\u4ee5\u9009\u62e9\u9898\u51fa\u73b0\u7684\u65b0\u4efb\u52a1\uff1b\u800c L5 \u4e2d\u7684\u5206\u5b50\u63cf\u8ff0\u751f\u6210\u548c\u5206\u5b50\u751f\u6210\u4e24\u4e2a\u4efb\u52a1\u662f\u8f83\u4e3a\u5178\u578b\u7684\u5316\u5b66\u4eba\u5de5\u667a\u80fd<\/mark>\u6a21\u578b\u4efb\u52a1\u3002<\/p>\n

\u7531\u6b64\u53ef\u4ee5\u8ba4\u4e3a\uff0c\u5bf9\u4e8e\u8fd9\u4e9b\u6a21\u578b\u6765\u8bf4\uff0cL5 \u8bc4\u6d4b\u7684\u662f\u5728\u5df2\u8bad\u7ec3\u4efb\u52a1\u4e0a\u7684\u80fd\u529b\uff0c\u800c L1-L4 \u5219\u66f4\u591a\u7684\u8bc4\u6d4b LLM \u7684\u901a\u7528\u80fd\u529b\uff08\u6307\u4ee4\u9075\u5faa\u548c\u4efb\u52a1\u6cdb\u5316\u7684\u80fd\u529b\u7b49\uff09\u3002<\/p>\n

\u603b\u800c\u8a00\u4e4b\uff0c\u57fa\u5ea7\u5927\u6a21\u578b\u7684\u00a0SFT \u4e0d\u4e00\u5b9a\u80fd\u63d0\u5347\u6a21\u578b\u7684\u6027\u80fd\uff0cSFT \u4efb\u52a1\u7684\u9009\u62e9\u548c\u5904\u7406\u81f3\u5173\u91cd\u8981\u3002<\/p>\n

SFT \u8fc7\u7a0b\u4e2d\u7684\u4efb\u52a1\u9009\u62e9\u3001\u7ec4\u5408\u548c\u5904\u7406\u5bf9\u5927\u8bed\u8a00\u6a21\u578b<\/mark>\u5728\u79d1\u5b66\u9886\u57df\u7684\u4e13\u4e1a\u5316\u8d77\u5230\u4e86\u4e3e\u8db3\u8f7b\u91cd\u7684\u5f71\u54cd\uff1b\u800c\u5728\u6784\u9020 SFT \u6570\u636e\u96c6\u7684\u8fc7\u7a0b\u4e2d\uff0c\u5e94\u8be5\u4e0d\u4ec5\u4ec5\u8003\u8651\u5bf9\u79d1\u5b66\u9886\u57df\u76f8\u5173\u80fd\u529b\u7684\u589e\u5f3a\uff0c\u4e5f\u5e94\u5c3d\u91cf\u7ef4\u6301\u751a\u81f3\u63d0\u9ad8\u6a21\u578b\u7684\u901a\u7528\u8bed\u8a00\u80fd\u529b\uff1b\u4ece\u800c\u786e\u4fdd\u6a21\u578b\u62e5\u6709\u8db3\u591f\u7684\u6307\u4ee4\u9075\u5faa\u548c\u4efb\u52a1\u6cdb\u5316\u80fd\u529b\uff0c\u5728\u66f4\u5e7f\u6cdb\u7684\u79d1\u5b66\u4efb\u52a1\u4e0a\u53d6\u5f97\u66f4\u4f18\u5f02\u7684\u8868\u73b0\u3002<\/p>\n

\u9644\uff1a<\/strong><\/p>\n

\u5728 SciKnowEval \u6846\u67b6\u4e2d\uff0c\u7814\u7a76\u8005\u901a\u8fc7\u4e94\u4e2a\u9012\u8fdb\u7684\u79d1\u5b66\u77e5\u8bc6\u5c42\u6b21\u6765\u8bc4\u4f30 LLMs \u7684\u79d1\u5b66\u77e5\u8bc6\uff0c\u5305\u62ec\u5e7f\u6cdb\u5b66\u4e60\u3001\u8ba4\u771f\u63a2\u8be2\u3001\u6df1\u5165\u601d\u8003\u3001\u51c6\u786e\u5224\u65ad\u548c\u5b9e\u9645\u5e94\u7528\u3002\u6bcf\u4e2a\u5c42\u6b21\u90fd\u65e8\u5728\u8bc4\u4f30 LLMs \u5728\u4e0d\u540c\u65b9\u9762\u7684\u79d1\u5b66\u77e5\u8bc6\u548c\u5e94\u7528\u80fd\u529b\u3002<\/p>\n

<\/a><\/p>\n

\u56fe 1\uff1aSciKnowEval \u6846\u67b6\u8bbe\u8ba1\u601d\u8def<\/section>\n

L1: \u5e7f\u6cdb\u5b66\u4e60\uff08\u5373\u77e5\u8bc6\u8986\u76d6\uff09\u3002\u4e3b\u8981\u8bc4\u4f30\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/mark>\u5bf9\u4e0d\u540c\u79d1\u5b66\u9886\u57df\u77e5\u8bc6\u7684\u5e7f\u6cdb\u638c\u63e1\uff0c\u4e3b\u8981\u8003\u67e5\u6a21\u578b\u7684\u8bb0\u5fc6\u548c\u7406\u89e3\u591a\u79cd\u79d1\u5b66\u6982\u5ff5\u7684\u80fd\u529b\u3002<\/p>\n

L2: \u8ba4\u771f\u63a2\u7a76\uff08\u5373\u77e5\u8bc6\u63a2\u8be2\u548c\u63a2\u7d22\uff09\u3002\u5173\u6ce8\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/mark>\u5728\u79d1\u5b66\u73af\u5883\u4e2d\u8fdb\u884c\u6df1\u5165\u63a2\u7a76\u548c\u63a2\u7d22\u7684\u80fd\u529b\uff0c\u5305\u62ec\u5206\u6790\u79d1\u5b66\u6587\u732e\u3001\u8bc6\u522b\u6838\u5fc3\u6982\u5ff5\u53ca\u63d0\u51fa\u76f8\u5173\u95ee\u9898\u3002<\/p>\n

L3: \u6df1\u5165\u601d\u8003\uff08\u5373\u77e5\u8bc6\u53cd\u601d\u548c\u63a8\u7406\uff09\u3002\u8bc4\u4f30\u6a21\u578b\u5728\u6279\u5224\u6027\u601d\u7ef4\u3001\u903b\u8f91<\/mark>\u63a8\u7406\u3001\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u3001\u9884\u6d4b\u529f\u80fd\u4ee5\u53ca\u901a\u8fc7\u53cd\u601d\u6027\u63a8\u7406\u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b\u3002<\/p>\n

L4: \u51c6\u786e\u5224\u65ad\uff08\u5373\u77e5\u8bc6\u8fa8\u8bc6\u548c\u5b89\u5168\u8bc4\u4f30\uff09\u3002\u6d89\u53ca\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/mark>\u57fa\u4e8e\u79d1\u5b66\u77e5\u8bc6\u505a\u51fa\u6b63\u786e\u3001\u5b89\u5168\u53ca\u7b26\u5408\u9053\u5fb7\u7684\u51b3\u7b56\u80fd\u529b\uff0c\u5305\u62ec\u5bf9\u4fe1\u606f\u7684\u5371\u5bb3\u6027\u548c\u6bd2\u6027\u8fdb\u884c\u8bc4\u4f30\uff0c\u4ee5\u53ca\u7406\u89e3\u79d1\u5b66\u6d3b\u52a8\u76f8\u5173\u7684\u4f26\u7406\u548c\u5b89\u5168\u95ee\u9898\u3002<\/p>\n

L5: \u5b9e\u9645\u5e94\u7528\uff08\u5373\u77e5\u8bc6\u5b9e\u8df5\u548c\u5e94\u7528\uff09\u3002\u8bc4\u4ef7\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/mark>\u5c06\u79d1\u5b66\u77e5\u8bc6\u6709\u6548\u5e94\u7528\u4e8e\u73b0\u5b9e\u4e16\u754c\u60c5\u5883\u7684\u80fd\u529b\uff0c\u5982\u89e3\u51b3\u590d\u6742\u7684\u79d1\u5b66\u95ee\u9898\u548c\u5f00\u53d1\u521b\u65b0\u89e3\u51b3\u65b9\u6848\u3002\u3002<\/p>\n

\u8868 2\uff1a\u5728\u5316\u5b66\u9886\u57df L1-L5 \u7684\u8bc4\u6d4b\u4efb\u52a1<\/p>\n

<\/a><\/section>\n

\u8868 3\uff1a\u751f\u7269\u5b66\u548c\u5316\u5b66\u9886\u57df\u4e2d LLMs \u4e94\u4e2a\u7ea7\u522b\u7684\u96f6\u6837\u672c\u8868\u73b0<\/p>\n

<\/a><\/section>\n
*\u6570\u503c\u8f83\u5c0f\u8868\u793a\u6392\u540d\u8f83\u9ad8\u3002\u8868\u4e2d\u7c97\u4f53\u5b57\u6807\u793a\u7684\u662f\u6240\u6709\u6a21\u578b\u4e2d\u7684\u6700\u4f73\u8868\u73b0\uff0c\u5e26\u4e0b\u5212\u7ebf\u7684\u662f\u6b21\u4f18\u8868\u73b0\uff0c\u84dd\u8272\u6807\u793a\u7684\u662f\u5f00\u6e90\u6a21\u578b\u4e2d\u7684\u6700\u4f73\u8868\u73b0<\/section>\n
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