{"id":25097,"date":"2025-03-19T10:13:30","date_gmt":"2025-03-19T02:13:30","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=25097"},"modified":"2025-03-19T10:13:30","modified_gmt":"2025-03-19T02:13:30","slug":"%e8%af%a6%e8%a7%a3rag%e5%ba%94%e7%94%a8%e5%bc%80%e5%8f%91%e5%b9%bb%e8%a7%89%e6%a3%80%e6%b5%8b%e5%88%a9%e5%99%a8lettucedetect","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2025\/03\/19\/25097\/","title":{"rendered":"\u8be6\u89e3RAG\u5e94\u7528\u5f00\u53d1\u5e7b\u89c9\u68c0\u6d4b\u5229\u5668LettuceDetect\u200b"},"content":{"rendered":"<div 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data-id=\"ld70c578-YKKT7OBG\">PyPI\uff1apypi.org\/project\/lettucedetect<\/li>\n<li data-id=\"ld70c578-2FdH5NN6\">arXiv\u8bba\u6587\uff1a2502.17125<\/li>\n<li data-id=\"ld70c578-W6Of4RdL\">Hugging Face\u6a21\u578b\uff1a<\/li>\n<\/ul>\n<p>A.\u57fa\u7840\u6a21\u578b<\/p>\n<p>B.\u5927\u578b\u6a21\u578b<\/p>\n<ul data-id=\"u738a58b-QTdmDR2I\">\n<li data-id=\"ld70c578-ibO6nmNC\">Streamlit\u6f14\u793a\u7a0b\u5e8f\uff1a\u8bbf\u95ee\u6211\u4eec\u7684Hugging 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data-id=\"ld70c578-vorz7Bk4\"><strong>\u57fa\u4e8e\u7f16\u7801\u5668\u7684\u68c0\u6d4b\u5668<\/strong>\uff1aLuna\uff08\u5f15\u65872\uff09\u7b49\u6a21\u578b\u4f9d\u8d56\u4e8eBERT\u6837\u5f0f\u7684\u7f16\u7801\u5668\uff08\u901a\u5e38\u9650\u5236\u4e3a512\u4e2a\u6807\u8bb0\uff09\u8fdb\u884c\u6807\u8bb0\u7ea7\u5206\u7c7b\u3002\u8fd9\u4e9b\u65b9\u6cd5\u901a\u5e38\u6bd4\u5728\u63a8\u7406\u65f6\u8fd0\u884c\u5b8c\u6574\u7684LLM\u66f4\u6709\u6548\uff0c\u4f46\u53d7\u5230\u77ed\u4e0a\u4e0b\u6587\u7a97\u53e3\u548c\u9488\u5bf9\u8f83\u5c0f\u8f93\u5165\u4f18\u5316\u7684\u6ce8\u610f\u673a\u5236\u7684\u9650\u5236\u3002<\/li>\n<\/ul>\n<h3>\u9002\u7528\u4e8e\u957f\u4e0a\u4e0b\u6587\u7684ModernBERT<\/h3>\n<p>ModernBERT\uff08\u5f15\u65873\uff09\u662fBERT\u7684\u76f4\u63a5\u66ff\u4ee3\u54c1\uff0c\u5b83\u662f\u4e00\u79cd\u5148\u8fdb\u7684\u4ec5\u7f16\u7801\u5668\u7684\u8f6c\u6362\u5668\u67b6\u6784\uff0c\u5728\u539f\u59cbBERT\u6a21\u578b\u4e0a\u878d\u5165\u4e86\u51e0\u9879\u73b0\u4ee3\u8bbe\u8ba1\u6539\u8fdb\uff0c\u4f8b\u5982\u5b83\u4f7f\u7528\u65cb\u8f6c\u4f4d\u7f6e\u5d4c\u5165\uff08RoPe\uff09\u6765\u5904\u7406\u6700\u591a8,192\u4e2a\u6807\u8bb0\u7684\u5e8f\u5217\uff0c\u4f7f\u7528\u53d6\u6d88\u586b\u5145\u4f18\u5316\u6765\u6d88\u9664\u586b\u5145\u6807\u8bb0\u4e0a\u6d6a\u8d39\u7684\u8ba1\u7b97\uff0c\u4f7f\u7528GeGLU\u6fc0\u6d3b\u5c42\u6765\u589e\u5f3a\u8868\u73b0\u529b\uff0c\u5e76\u4f7f\u7528\u4ea4\u66ff\u6ce8\u610f\u529b\u6765\u5b9e\u73b0\u66f4\u9ad8\u6548\u7684\u6ce8\u610f\u529b\u8ba1\u7b97\u3002<\/p>\n<p>LettuceDetect\u5229\u7528ModernBERT\u7684\u6269\u5c55\u4e0a\u4e0b\u6587\u7a97\u53e3\u6784\u5efa\u7528\u4e8e\u5e7b\u89c9\u68c0\u6d4b\u7684\u6807\u8bb0\u7ea7\u5206\u7c7b\u5668\u3002\u8fd9\u79cd\u65b9\u6cd5\u907f\u5f00\u4e86\u65e7\u7248\u57fa\u4e8eBERT\u7684\u6a21\u578b\u7684\u8bb8\u591a\u9650\u5236\uff08\u4f8b\u5982\uff0c\u77ed\u4e0a\u4e0b\u6587\u8fb9\u754c\uff09\uff0c\u5e76\u907f\u514d\u4e86\u5927\u578b\u57fa\u4e8eLLM\u7684\u68c0\u6d4b\u5668\u7684\u63a8\u7406\u5f00\u9500\u3002\u6211\u4eec\u7684\u5b9e\u9a8c\u8868\u660e\uff0cLettuceDetect\u7684\u6027\u80fd\u4f18\u4e8e\u5176\u4ed6\u57fa\u4e8e\u7f16\u7801\u5668\u7684\u7cfb\u7edf\uff0c\u540c\u65f6\u4ecd\u80fd\u4e0e\u7ecf\u8fc7\u5fae\u8c03\u7684LLM\u68c0\u6d4b\u5668\u76f8\u5ab2\u7f8e\uff0c\u800c\u8ba1\u7b97\u6210\u672c\u4ec5\u4e3a\u540e\u8005\u7684\u4e00\u5c0f\u90e8\u5206\u3002<\/p>\n<h2>\u6570\u636e<\/h2>\n<p>RAGTruth\u662f\u7b2c\u4e00\u4e2a\u5927\u578b\u5f00\u6e90\uff08MIT\u8bb8\u53ef\u8bc1\uff09\u57fa\u51c6\uff0c\u4e13\u95e8\u7528\u4e8e\u8bc4\u4f30\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u8bbe\u7f6e\u4e2d\u7684\u5e7b\u89c9\u68c0\u6d4b\u3002\u5b83\u5305\u542b18,000\u4e2a\u5e26\u6ce8\u91ca\u7684\u6837\u672c\uff0c\u6db5\u76d6\u591a\u4e2a\u4efb\u52a1\uff1a<\/p>\n<ul data-id=\"u738a58b-RE7k22Uk\">\n<li data-id=\"ld70c578-5y7MBWIY\">\u95ee\u7b54\uff08QA\uff09\uff1a\u4eceMS MARCO\u6570\u636e\u96c6\u4e2d\u62bd\u6837\uff0c\u5176\u4e2d\u6bcf\u4e2a\u95ee\u9898\u6700\u591a\u68c0\u7d22\u4e09\u4e2a\u6587\u6863\uff0c\u5e76\u63d0\u793aLLM\u7ed9\u51fa\u7b54\u6848\u3002<\/li>\n<li data-id=\"ld70c578-IeVjyCBl\">\u6570\u636e\u5230\u6587\u672c\u751f\u6210\uff1a\u57fa\u4e8eYelp\u5f00\u653e\u6570\u636e\u96c6\uff0c\u5176\u4e2dLLM\u4e3a\u62bd\u6837\u4f01\u4e1a\u751f\u6210\u8bc4\u8bba\u3002<\/li>\n<li data-id=\"ld70c578-AEPFRrNj\">\u65b0\u95fb\u6458\u8981\uff1a\u4f7f\u7528\u6765\u81eaCNN\/DailyMail\u7684\u968f\u673a\u6587\u6863\uff0c\u4fc3\u4f7fLLM\u63d0\u4f9b\u6458\u8981\u3002<\/li>\n<\/ul>\n<p>\u5176\u4e2d\uff0cRAGTruth\u4e2d\u7684\u6bcf\u4e2a\u6837\u672c\u5305\u62ec\uff1a<\/p>\n<ul data-id=\"u738a58b-LHGN7ZmK\">\n<li data-id=\"ld70c578-X5hnzNCz\">\u4e00\u4e2a\u95ee\u9898\u548c\u4e00\u4e2a\u63d0\u793a\uff1b<\/li>\n<li data-id=\"ld70c578-xOKOZ9UR\">\u4e00\u4e2a\u6216\u591a\u4e2a\u53c2\u8003\u6bb5\u843d\u6216\u4e0a\u4e0b\u6587\u6587\u6863\uff1b<\/li>\n<li data-id=\"ld70c578-PYtNLeLi\">LLM\u751f\u6210\u7684\u54cd\u5e94\uff1b<\/li>\n<li data-id=\"ld70c578-fS5QoeUF\">\u8de8\u5ea6\u7ea7\u522b\u7684\u4eba\u5de5\u6ce8\u91ca\uff0c\u8868\u660e\u7b54\u6848\u7684\u4efb\u4f55\u90e8\u5206\u662f\u5426\u6ca1\u6709\u4e8b\u5b9e\u4f9d\u636e\u6216\u4e0e\u53c2\u8003\u6bb5\u843d\u76f8\u77db\u76fe\u3002<\/li>\n<\/ul>\n<p>\u4e0b\u9762\u662f\u6765\u81eaRAGTruth\u7684\u8bf4\u660e\u6027\u6837\u672c\uff0c\u5c55\u793a\u4e86\u5e7b\u89c9\u7684\u4e00\u4e2a\u5b9e\u4f8b\uff1a<\/p>\n<h4>\u63d0\u51fa\u95ee\u9898\uff1a<\/h4>\n<p>\u5982\u4f55\u89e3\u91ca\u56db\u5206\u4f4d\u6570\uff1f<\/p>\n<h4>\u53c2\u8003\u8d44\u6599\uff1a<\/h4>\n<p>\u7b2c2\u6bb5\uff1a<\/p>\n<p>\u7b2c\u4e8c\u56db\u5206\u4f4d\u6570\uff08Q2\uff09\u66f4\u5e38\u88ab\u79f0\u4e3a\u4e2d\u4f4d\u6570\uff0c\u5b83\u5c06\u6570\u636e\u5206\u6210\u4e24\u534a\uff0850%\uff09\u3002<\/p>\n<p>\u4e2d\u4f4d\u6570\u5c06\u6570\u636e\u5206\u4e3a\u4e0b\u534a\u90e8\u5206\u548c\u4e0a\u534a\u90e8\u5206\u3002<\/p>\n<p>\u7b2c\u4e09\u56db\u5206\u4f4d\u6570\uff08Q3\uff09\u4e5f\u79f0\u4e3a\u4e0a\u56db\u5206\u4f4d\u6570\uff0c\u5c06\u6570\u636e\u7684\u6700\u4f4e75%\uff08\u6216\u6700\u9ad825%\uff09\u5206\u5f00\u3002<\/p>\n<p>\uff08\u2026\u2026\uff09<\/p>\n<p>\u56de\u590d\u5982\u4e0b\uff1a<\/p>\n<p>\u7b2c\u4e00\u4e2a\u56db\u5206\u4f4d\u6570\uff08Q1\uff09\u5c06\u6570\u636e\u4e2d\u6700\u4f4e\u768425%\u5206\u6210\u4e24\u90e8\u5206\uff0c\u800c\u7b2c\u4e8c\u4e2a\u56db\u5206\u4f4d\u6570\uff08Q2\uff09\u5c06\u6570\u636e\u5206\u6210\u4e24\u4e2a\u76f8\u7b49\u7684\u90e8\u5206\uff0c\u4e2d\u4f4d\u6570\u662f\u4e0b\u534a\u90e8\u5206\u7684\u4e2d\u95f4\u503c\u3002\u6700\u540e\uff0c\u7b2c\u4e09\u4e2a\u56db\u5206\u4f4d\u6570\uff08Q3\uff09\u5c06\u6570\u636e\u4e2d\u6700\u9ad8\u768475%\u5206\u6210\u4e24\u90e8\u5206\u3002<\/p>\n<p>\uff08\u2026\u2026\uff09<\/p>\n<h4>\u6ce8\u89e3<\/h4>\n<p>\u8de8\u5ea6\uff1a\u201c\u6700\u9ad875%\u201d<\/p>\n<p>\u7c7b\u578b\uff1a\u660e\u663e\u51b2\u7a81<\/p>\n<p>\u539f\u56e0\uff1a<\/p>\n<p>\u539f\u6587\uff1a\u201c\u6700\u4f4e75%\uff08\u6216\u6700\u9ad825%\uff09\u201d<\/p>\n<p>\u751f\u6210\u6587\u672c\uff1a\u201c\u6700\u9ad875%\u201d<\/p>\n<p>\u6b64\u6837\u672c\u5c55\u793a\u4e86\u4e00\u4e2aRAGTruth\u6ce8\u91ca\uff0c\u6d89\u53ca\u7b54\u6848\u4e2d\u4e0e\u53c2\u8003\u6bb5\u843d\u76f8\u51b2\u7a81\u7684\u7279\u5b9a\u8de8\u5ea6\uff0c\u63d0\u4f9b\u4e86\u5e7b\u89c9\u7684\u7c7b\u578b\uff08\u4f8b\u5982\uff0c\u660e\u663e\u51b2\u7a81\uff09\u548c\u4eba\u7c7b\u53ef\u8bfb\u7684\u7406\u7531\u3002\u6211\u4eec\u7684\u65b9\u6cd5\u4ec5\u4f7f\u7528\u4e8c\u8fdb\u5236\u6ce8\u91ca\uff0c\u800c\u4e0d\u4f7f\u7528\u5e7b\u89c9\u6ce8\u91ca\u7684\u7c7b\u578b\u3002<\/p>\n<h2>\u65b9\u6cd5<\/h2>\n<p><img data-dominant-color=\"c9d0d8\" data-has-transparency=\"true\" style=\"--dominant-color: #c9d0d8;\" loading=\"lazy\" decoding=\"async\" class=\"has-transparency alignnone size-full wp-image-25100\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/03\/88a6ce41fb69.png\" width=\"553\" height=\"536\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/03\/88a6ce41fb69.png 553w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/03\/88a6ce41fb69-300x291.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/03\/88a6ce41fb69-150x145.png 150w\" sizes=\"auto, (max-width: 553px) 100vw, 553px\" \/><\/p>\n<p>\u4f5c\u8005\u81ea\u5236\u56fe\u7247<\/p>\n<p>\u8fd9\u91cc\u7ed9\u51fa\u7684\u662fLettuceDetect\u67b6\u6784\u7684\u4e00\u79cd\u9ad8\u7ea7\u63cf\u8ff0\u3002\u8fd9\u91cc\uff0c\u7ed9\u51fa\u4e86\u4e00\u4e2a\u6837\u672c\u95ee\u9898\u3001\u4e0a\u4e0b\u6587\u548c\u7b54\u6848\u4e09\u5143\u7ec4\u3002\u9996\u5148\uff0c\u5bf9\u6587\u672c\u8fdb\u884c\u6807\u8bb0\uff0c\u7136\u540eLettuceDetect\u6267\u884c\u6807\u8bb0\u7ea7\u5206\u7c7b\u3002\u95ee\u9898\u548c\u4e0a\u4e0b\u6587\u4e2d\u7684\u6807\u8bb0\u90fd\u88ab\u5c4f\u853d\uff08\u56fe\u4e2d\u7528\u7ea2\u7ebf\u8868\u793a\uff09\uff0c\u4ee5\u4fbf\u5c06\u5b83\u4eec\u6392\u9664\u5728\u635f\u5931\u51fd\u6570\u4e4b\u5916\u3002\u7b54\u6848\u4e2d\u7684\u6bcf\u4e2a\u6807\u8bb0\u90fd\u4f1a\u6536\u5230\u4e00\u4e2a\u6982\u7387\uff0c\u8868\u660e\u5b83\u662f\u5e7b\u89c9\u7684\u8fd8\u662f\u88ab\u652f\u6301\u7684\u3002\u5bf9\u4e8e\u8de8\u5ea6\u7ea7\u68c0\u6d4b\uff0c\u6211\u4eec\u5c06\u5e7b\u89c9\u6982\u7387\u9ad8\u4e8e0.5\u7684\u8fde\u7eed\u6807\u8bb0\u5408\u5e76\u4e3a\u5355\u4e2a\u9884\u6d4b\u8de8\u5ea6\u3002<\/p>\n<p>\u6211\u4eec\u5728RAGTruth\u6570\u636e\u96c6\u4e0a\u8bad\u7ec3ModernBERT-base\u548cModernBERT-large\u53d8\u4f53\u4f5c\u4e3a\u6807\u8bb0\u5206\u7c7b\u6a21\u578b\u3002\u6a21\u578b\u7684\u8f93\u5165\u662fContext\u3001Question\u548cAnswer\u6bb5\u7684\u4e32\u8054\uff0c\u5e26\u6709\u4e13\u95e8\u7684\u6807\u8bb0([CLS])\uff08\u7528\u4e8e\u4e0a\u4e0b\u6587\uff09\u548c([SEP])\uff08\u4f5c\u4e3a\u5206\u9694\u7b26\uff09\u3002\u4e3a\u4e86\u4fbf\u4e8e\u8ba1\u7b97\uff0c\u6211\u4eec\u5c06\u5e8f\u5217\u957f\u5ea6\u9650\u5236\u4e3a4,096\u4e2a\u6807\u8bb0\uff0c\u4f46ModernBERT\u7406\u8bba\u4e0a\u6700\u591a\u53ef\u4ee5\u5904\u74068,192\u4e2a\u6807\u8bb0\u3002<\/p>\n<h3>\u6807\u8bb0\u5316\u548c\u6570\u636e\u5904\u7406<\/h3>\n<ul data-id=\"u738a58b-rMp0ib6M\">\n<li data-id=\"ld70c578-Z6Xl89R2\">\u6807\u8bb0\u5316\uff1a\u6211\u4eec\u4f7f\u7528\u8f6c\u6362\u5668\u5e93\u4e2d\u7684AutoTokenizer\u6765\u5904\u7406\u5b50\u8bcd\u6807\u8bb0\u5316\uff0c\u5e76\u9002\u5f53\u5730\u63d2\u5165[CLS]\u548c[SEP]\u3002<\/li>\n<li data-id=\"ld70c578-9iJZivpr\">\u6807\u7b7e\uff1a<\/li>\n<\/ul>\n<p>A.\u4e0a\u4e0b\u6587\/\u95ee\u9898\u6807\u8bb0\u88ab\u5c4f\u853d\uff08\u5373\u5728PyTorch\u4e2d\u5206\u914d-100\u7684\u6807\u7b7e\uff09\uff0c\u56e0\u6b64\u5b83\u4eec\u4e0d\u4f1a\u5bfc\u81f4\u635f\u5931\u3002<\/p>\n<p>B.\u6bcf\u4e2a\u7b54\u6848\u6807\u8bb0\u90fd\u4f1a\u6536\u5230\u4e00\u4e2a\u6807\u7b7e0\uff08\u652f\u6301\uff09\u62161\uff08\u5e7b\u89c9\uff09\u3002<\/p>\n<h3>\u6a21\u578b\u67b6\u6784<\/h3>\n<p>\u6211\u4eec\u7684\u6a21\u578b\u57fa\u4e8eHugging Face\u7684AutoModelForTokenClassification\u6784\u5efa\uff0c\u4f7f\u7528ModernBERT\u4f5c\u4e3a\u7f16\u7801\u5668\uff0c\u5e76\u5728\u5176\u4e0a\u8bbe\u7f6e\u5206\u7c7b\u5934\u3002\u4e0e\u4e4b\u524d\u4e00\u4e9b\u57fa\u4e8e\u7f16\u7801\u5668\u7684\u65b9\u6cd5\uff08\u4f8b\u5982\uff0c\u5728NLI\u4efb\u52a1\u4e0a\u8fdb\u884c\u9884\u8bad\u7ec3\u7684\u65b9\u6cd5\uff09\u4e0d\u540c\uff0c\u6211\u4eec\u7684\u65b9\u6cd5\u4ec5\u4f7f\u7528ModernBERT\uff0c\u6ca1\u6709\u989d\u5916\u7684\u9884\u8bad\u7ec3\u9636\u6bb5\u3002<\/p>\n<h3>\u8bad\u7ec3\u914d\u7f6e<\/h3>\n<ul data-id=\"u738a58b-NSZUgKKR\">\n<li data-id=\"ld70c578-rWYCST1s\">\u4f18\u5316\u5668\uff1aAdamW\uff0c\u5b66\u4e60\u7387\u4e3a1*10^-5\uff0c\u6743\u91cd\u8870\u51cf\u4e3a0.01\u3002<\/li>\n<li data-id=\"ld70c578-Zt6E50UI\">\u786c\u4ef6\uff1a\u5355\u4e2aNVIDIA A100 GPU\u3002<\/li>\n<li data-id=\"ld70c578-xIDzNNgV\">\u4e16\u4ee3\uff08Epochs\uff09\uff1a\u603b\u51716\u4e2a\u8bad\u7ec3\u4e16\u4ee3\u3002<\/li>\n<li data-id=\"ld70c578-Qm6rOQlj\">\u6279\u5904\u7406\uff1a<\/li>\n<\/ul>\n<p>A.\u6279\u6b21\u5927\u5c0f\u4e3a8\uff1b<\/p>\n<p>B.\u4f7f\u7528PyTorch DataLoader\u52a0\u8f7d\u6570\u636e\uff08\u542f\u7528\u6570\u636e\u6df7\u6d17\u529f\u80fd\uff09\uff1b<\/p>\n<p>C.\u901a\u8fc7DataCollatorForTokenClassification\u8fdb\u884c\u52a8\u6001\u586b\u5145\uff0c\u4ee5\u6709\u6548\u5904\u7406\u53ef\u53d8\u957f\u5ea6\u5e8f\u5217\u3002<\/p>\n<p>\u5728\u8bad\u7ec3\u671f\u95f4\uff0c\u6211\u4eec\u4f1a\u76d1\u63a7\u9a8c\u8bc1\u62c6\u5206\u4e2d\u7684\u7b26\u53f7\u7ea7F1\u5206\u6570\uff0c\u5e76\u4f7f\u7528safetensors\u683c\u5f0f\u4fdd\u5b58\u68c0\u67e5\u70b9\u3002\u8bad\u7ec3\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u4f1a\u5c06\u8868\u73b0\u6700\u4f73\u7684\u6a21\u578b\u4e0a\u4f20\u5230Hugging Face\u4f9b\u516c\u4f17\u8bbf\u95ee\u3002<\/p>\n<p>\u5728\u63a8\u7406\u65f6\uff0c\u6a21\u578b\u4f1a\u8f93\u51fa\u7b54\u6848\u4e2d\u6bcf\u4e2a\u6807\u8bb0\u7684\u5e7b\u89c9\u6982\u7387\u3002\u6211\u4eec\u805a\u5408\u8d85\u8fc70.5\u9608\u503c\u7684\u8fde\u7eed\u6807\u8bb0\u4ee5\u751f\u6210\u8de8\u5ea6\u7ea7\u9884\u6d4b\uff0c\u51c6\u786e\u6307\u793a\u7b54\u6848\u7684\u54ea\u4e9b\u90e8\u5206\u53ef\u80fd\u4ea7\u751f\u5e7b\u89c9\u3002\u4e0a\u56fe\u8bf4\u660e\u4e86\u6b64\u5de5\u4f5c\u6d41\u7a0b\u3002<\/p>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5bf9\u6a21\u578b\u7684\u6027\u80fd\u8fdb\u884c\u66f4\u8be6\u7ec6\u7684\u8bc4\u4f30\u3002<\/p>\n<h2>\u6d4b\u8bd5\u7ed3\u679c<\/h2>\n<p>\u6211\u4eec\u5728RAGTruth\u6d4b\u8bd5\u96c6\u4e0a\u5bf9\u6240\u6709\u4efb\u52a1\u7c7b\u578b\uff08\u95ee\u7b54\u3001\u6570\u636e\u8f6c\u6587\u672c\u548c\u6458\u8981\uff09\u7684\u6a21\u578b\u8fdb\u884c\u4e86\u8bc4\u4f30\u3002\u5bf9\u4e8e\u6bcf\u4e2a\u793a\u4f8b\uff0cRAGTruth\u90fd\u5305\u542b\u624b\u52a8\u6ce8\u91ca\u7684\u8de8\u5ea6\uff0c\u4ee5\u6307\u793a\u5e7b\u89c9\u5185\u5bb9\u3002<\/p>\n<h3>\u793a\u4f8b\u7ea7\u7ed3\u679c<\/h3>\n<p>\u6211\u4eec\u9996\u5148\u8bc4\u4f30\u6837\u672c\u7ea7\u522b\u7684\u95ee\u9898\uff1a\u751f\u6210\u7684\u7b54\u6848\u662f\u5426\u5305\u542b\u4efb\u4f55\u5e7b\u89c9\uff1f\u6211\u4eec\u7684\u5927\u578b\u6a21\u578b\uff08lettucedetect-large-v1\uff09\u7684\u603b\u4f53F1\u5f97\u5206\u8fbe\u523079.22%\uff0c\u8d85\u8fc7\u4e86\uff1a<\/p>\n<ul data-id=\"u738a58b-NKNP3jtr\">\n<li data-id=\"ld70c578-cQ4TwWOZ\">GPT-4\uff0863.4%\uff09\uff1b<\/li>\n<li data-id=\"ld70c578-1ZmAS9lf\">Luna\uff0865.4%\uff09\uff08\u4e4b\u524d\u6700\u5148\u8fdb\u7684\u57fa\u4e8e\u7f16\u7801\u5668\u7684\u6a21\u578b\uff09\uff1b<\/li>\n<li data-id=\"ld70c578-cpNel1Kv\">RAGTruth\u8bba\u6587\u4e2d\u63d0\u51fa\u4e86\u7ecf\u8fc7\u5fae\u8c03\u7684Llama-2-13B\uff0878.7%\uff09\u3002<\/li>\n<\/ul>\n<p>\u5b83\u4ec5\u6b21\u4e8eRAG-HAT\u8bba\u6587\uff08\u5f15\u658715\uff09\u4e2d\u7ecf\u8fc7\u5fae\u8c03\u7684Llama-3-8B\uff0883.9%\uff09\uff0c\u4f46LettuceDetect\u660e\u663e\u66f4\u5c0f\uff0c\u8fd0\u884c\u901f\u5ea6\u66f4\u5feb\u3002\u540c\u65f6\uff0c\u6211\u4eec\u7684\u57fa\u7840\u6a21\u578b\uff08lettucedetect-base-v1\uff09\u5728\u4f7f\u7528\u8f83\u5c11\u53c2\u6570\u7684\u60c5\u51b5\u4e0b\u4ecd\u4fdd\u6301\u4e86\u6781\u9ad8\u7684\u7ade\u4e89\u529b\u3002<\/p>\n<p><img data-dominant-color=\"ececec\" data-has-transparency=\"true\" style=\"--dominant-color: #ececec;\" loading=\"lazy\" decoding=\"async\" class=\"has-transparency alignnone size-full wp-image-25101\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/03\/393f9556448e.png\" width=\"554\" height=\"150\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/03\/393f9556448e.png 554w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/03\/393f9556448e-300x81.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/03\/393f9556448e-150x41.png 150w\" sizes=\"auto, (max-width: 554px) 100vw, 554px\" \/><\/p>\n<p>\u4f5c\u8005\u672c\u4eba\u63d0\u4f9b\u56fe\u7247<\/p>\n<p>\u4e0a\u8868\u662f\u4e00\u5f20\u6bd4\u8f83\u8868\uff0c\u8bf4\u660e\u4e86LettuceDetect\u4e0e\u57fa\u4e8e\u63d0\u793a\u7684\u65b9\u6cd5\uff08\u4f8b\u5982GPT-4\uff09\u548c\u57fa\u4e8e\u7f16\u7801\u5668\u7684\u66ff\u4ee3\u89e3\u51b3\u65b9\u6848\uff08\u4f8b\u5982Luna\uff09\u7684\u5bf9\u6bd4\u60c5\u51b5\u3002\u603b\u4f53\u800c\u8a00\uff0clettucedetect-large-v1\u548clettucedect-base-v1\u662f\u6027\u80fd\u975e\u5e38\u51fa\u8272\u7684\u6a21\u578b\uff0c\u540c\u65f6\u5728\u63a8\u7406\u8bbe\u7f6e\u4e2d\u4e5f\u975e\u5e38\u6709\u6548\u3002<\/p>\n<h3>\u8de8\u5ea6\u7ea7\u7ed3\u679c<\/h3>\n<p>\u9664\u4e86\u68c0\u6d4b\u7b54\u6848\u662f\u5426\u5305\u542b\u5e7b\u89c9\u4e4b\u5916\uff0c\u6211\u4eec\u8fd8\u68c0\u67e5\u4e86LettuceDetect\u8bc6\u522b\u4e0d\u652f\u6301\u5185\u5bb9\u7684\u786e\u5207\u8de8\u5ea6\u7684\u80fd\u529b\u3002\u5728\u8fd9\u91cc\uff0cLettuceDetect\u5728\u62a5\u544a\u8de8\u5ea6\u7ea7\u522b\u6027\u80fd\u7684\u6a21\u578b\u4e2d\u53d6\u5f97\u4e86\u6700\u5148\u8fdb\u7684\u7ed3\u679c\uff0c\u5927\u5927\u4f18\u4e8eRAGTruth\u8bba\u6587\uff08\u5f15\u65871\uff09\u548c\u5176\u4ed6\u57fa\u7ebf\u4e2d\u7ecf\u8fc7\u5fae\u8c03\u7684Llama-2-13B\u6a21\u578b\u3002<\/p>\n<p><img data-dominant-color=\"eaeaea\" data-has-transparency=\"true\" style=\"--dominant-color: #eaeaea;\" loading=\"lazy\" decoding=\"async\" class=\"has-transparency alignnone size-full wp-image-25102\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/03\/162f1c24af29.png\" width=\"554\" height=\"95\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/03\/162f1c24af29.png 554w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/03\/162f1c24af29-300x51.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2025\/03\/162f1c24af29-150x26.png 150w\" sizes=\"auto, (max-width: 554px) 100vw, 554px\" \/><\/p>\n<p>\u4f5c\u8005\u672c\u4eba\u63d0\u4f9b\u56fe\u7247<\/p>\n<p>\u5927\u591a\u6570\u65b9\u6cd5\uff08\u4f8b\u5982RAG-HAT\uff08\u5f15\u658715\uff09\uff09\u90fd\u6ca1\u6709\u62a5\u544a\u8de8\u5ea6\u7ea7\u6307\u6807\uff0c\u56e0\u6b64\u6211\u4eec\u5728\u8fd9\u91cc\u4e0d\u4e0e\u5b83\u4eec\u8fdb\u884c\u6bd4\u8f83\u3002<\/p>\n<h3>\u63a8\u7406\u6548\u7387<\/h3>\n<p>lettucedetect-base-v1\u548clettucedetect-large-v1\u6240\u9700\u7684\u53c2\u6570\u90fd\u6bd4\u5178\u578b\u7684\u57fa\u4e8eLLM\u7684\u68c0\u6d4b\u5668\uff08\u4f8b\u5982GPT-4\u6216Llama-3-8B\uff09\u5c11\uff0c\u5e76\u4e14\u53ef\u4ee5\u5728\u5355\u4e2aNVIDIA A100 GPU\u4e0a\u6bcf\u79d2\u5904\u740630-60\u4e2a\u6837\u672c\u3002\u8fd9\u4f7f\u5f97\u5b83\u4eec\u9002\u7528\u4e8e\u5de5\u4e1a\u5de5\u4f5c\u8d1f\u8f7d\u3001\u5b9e\u65f6\u9762\u5411\u7528\u6237\u7684\u7cfb\u7edf\u548c\u8d44\u6e90\u53d7\u9650\u7684\u73af\u5883\u3002<\/p>\n<p>\u603b\u4f53\u800c\u8a00\uff0c\u8fd9\u4e9b\u7ed3\u679c\u8868\u660eLettuceDetect\u5177\u6709\u826f\u597d\u7684\u5e73\u8861\u6027\uff1a\u4e0e\u57fa\u4e8eLLM\u7684\u5927\u578b\u8bc4\u5224\u7cfb\u7edf\u76f8\u6bd4\uff0c\u5b83\u4ee5\u6781\u5c0f\u7684\u89c4\u6a21\u548c\u6210\u672c\u5b9e\u73b0\u4e86\u63a5\u8fd1\u6700\u5148\u8fdb\u7684\u51c6\u786e\u5ea6\uff0c\u540c\u65f6\u63d0\u4f9b\u4e86\u7cbe\u786e\u7684\u6807\u8bb0\u7ea7\u5e7b\u89c9\u68c0\u6d4b\u3002<\/p>\n<h2>\u5f00\u53d1\u5b9e\u6218<\/h2>\n<p>\u5b89\u88c5\u8f6f\u4ef6\u5305\uff1a<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_0\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\">pip install lettucedetect<\/code><\/pre>\n<ul id=\"code_id_0\" class=\"pre-numbering\">\n<li>1.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u7136\u540e\uff0c\u4f60\u53ef\u4ee5\u6309\u5982\u4e0b\u65b9\u5f0f\u4f7f\u7528\u8be5\u5305\uff1a<\/p>\n<div>\n<div class=\"hljs-cto\">\n<div class=\"hljs-cto\"><button class=\"copy_btn disable\" data-clipboard-target=\"#code_id_1\">\u590d\u5236<\/button><\/p>\n<div class=\"code-toolbar\">\n<pre class=\"has-pre-numbering language-plain\" tabindex=\"0\"><code class=\"language-plain\">from lettucedetect.models.inference import HallucinationDetector\r\n#\u5bf9\u4e8e\u57fa\u4e8e\u8f6c\u6362\u5668\u7684\u65b9\u6cd5\uff1a\r\ndetector = HallucinationDetector(\r\n method=\"transformer\", model_path=\"KRLabsOrg\/lettucedect-base-modernbert-en-v1\"\r\n)\r\ncontexts = [\"France is a country in Europe. The capital of France is Paris. The population of France is 67 million.\",]\r\nquestion = \"What is the capital of France? What is the population of France?\"\r\nanswer = \"The capital of France is Paris. The population of France is 69 million.\"\r\n#\u5f97\u5230\u8de8\u5ea6\u7ea7\u7684\u9884\u6d4b\uff0c\u8868\u660e\u7b54\u6848\u7684\u54ea\u4e00\u90e8\u5206\u88ab\u8ba4\u4e3a\u662f\u5e7b\u89c9\u3002\r\npredictions = detector.predict(cnotallow=contexts, questinotallow=question, answer=answer, output_format=\"spans\")\r\nprint(\"Predictions:\", predictions)\r\n#\u9884\u6d4b\u7ed3\u679c\u662f\uff1a[{'start': 31, 'end': 71, 'confidence': 0.9944414496421814, 'text': ' The population of France is 69 million.'}]<\/code><\/pre>\n<ul id=\"code_id_1\" class=\"pre-numbering\">\n<li>1.<\/li>\n<li>2.<\/li>\n<li>3.<\/li>\n<li>4.<\/li>\n<li>5.<\/li>\n<li>6.<\/li>\n<li>7.<\/li>\n<li>8.<\/li>\n<li>9.<\/li>\n<li>10.<\/li>\n<li>11.<\/li>\n<li>12.<\/li>\n<\/ul>\n<div class=\"toolbar\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2>\u7ed3\u8bba<\/h2>\n<p>\u6211\u4eec\u5728\u672c\u6587\u4e2d\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u6211\u4eec\u56e2\u961f\u7814\u53d1\u7684LettuceDetect\uff0c\u8fd9\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u4e14\u9ad8\u6548\u7684RAG\u7cfb\u7edf\u5e7b\u89c9\u68c0\u6d4b\u6846\u67b6\u3002\u901a\u8fc7\u5229\u7528ModernBERT\u7684\u6269\u5c55\u4e0a\u4e0b\u6587\u529f\u80fd\uff0c\u6211\u4eec\u7684\u6a21\u578b\u5728RAGTruth\u57fa\u51c6\u4e0a\u5b9e\u73b0\u4e86\u5f3a\u52b2\u7684\u6027\u80fd\uff0c\u540c\u65f6\u4fdd\u6301\u4e86\u8f83\u9ad8\u7684\u63a8\u7406\u6548\u7387\u3002\u8fd9\u9879\u5de5\u4f5c\u4e3a\u672a\u6765\u7684\u7814\u7a76\u65b9\u5411\u5960\u5b9a\u4e86\u57fa\u7840\uff0c\u4f8b\u5982\u6269\u5c55\u5230\u5176\u4ed6\u6570\u636e\u96c6\u3001\u652f\u6301\u591a\u79cd\u8bed\u8a00\u4ee5\u53ca\u63a2\u7d22\u66f4\u5148\u8fdb\u7684\u67b6\u6784\u3002\u5373\u4f7f\u5728\u8fd9\u4e2a\u9636\u6bb5\uff0cLettuceDetect\u4e5f\u8bc1\u660e\u4e86\u4f7f\u7528\u7cbe\u7b80\u7684\u3001\u4e13\u95e8\u6784\u5efa\u7684\u57fa\u4e8e\u7f16\u7801\u5668\u7684\u6a21\u578b\u53ef\u4ee5\u5b9e\u73b0\u6709\u6548\u7684\u5e7b\u89c9\u68c0\u6d4b\u3002<\/p>\n<h2>\u5f15\u6587<\/h2>\n<p>\u30101\u3011Niu\u7b49\u4eba\uff0c2024\uff0cRAGTruth: A Dataset for Hallucination Detection in Retrieval-Augmented Generation\uff08RAGTruth\uff1a\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u4e2d\u7684\u5e7b\u89c9\u68c0\u6d4b\u6570\u636e\u96c6\uff09\u3002<\/p>\n<p>\u30102\u3011Luna: A Simple and Effective Encoder-Based Model for Hallucination Detection in Retrieval-Augmented Generation\uff08Luna\uff1a\u4e00\u79cd\u7b80\u5355\u6709\u6548\u7684\u57fa\u4e8e\u7f16\u7801\u5668\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u5e7b\u89c9\u68c0\u6d4b\u6a21\u578b\uff09\u3002<\/p>\n<p>\u30103\u3011ModernBERT: A Modern BERT Model for Long-Context Processing\uff08ModernBERT\uff1a\u7528\u4e8e\u957f\u4e0a\u4e0b\u6587\u5904\u7406\u7684\u73b0\u4ee3BERT\u6a21\u578b\uff09\u3002<\/p>\n<p>\u30104\u3011GPT-4 report\uff08GPT-4\u62a5\u544a\uff09\u3002<\/p>\n<p>\u30105\u3011Llama-3 report\uff08Llama-3\u62a5\u544a\uff09\u3002<\/p>\n<p>\u30106\u3011Mistral 7B\u3002<\/p>\n<p>\u30107\u3011Kaddour\u7b49\u4eba\uff0c2023\uff0cChallenges and Applications of Large Language Models\uff08\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u6311\u6218\u4e0e\u5e94\u7528\uff09\u3002<\/p>\n<p>\u30108\u3011Huang\u7b49\u4eba\uff0c2025\uff0cA Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions\uff08\u5927\u578b\u8bed\u8a00\u6a21\u578b\u4e2d\u7684\u5e7b\u89c9\u8c03\u67e5\uff1a\u539f\u7406\u3001\u5206\u7c7b\u3001\u6311\u6218\u548c\u672a\u51b3\u95ee\u9898\uff09\u3002<\/p>\n<p>\u30109\u3011Gao\u7b49\u4eba\uff0c2024\uff0cRetrieval-Augmented Generation for Large Language Models: A Survey\uff08\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff1a\u4e00\u9879\u8c03\u67e5\uff09\u3002<\/p>\n<p>\u301010\u3011Ji\u7b49\u4eba\uff0c2023\uff0cSurvey of Hallucination in Natural Language Generation\uff08\u81ea\u7136\u8bed\u8a00\u751f\u6210\u4e2d\u7684\u5e7b\u89c9\u7814\u7a76\uff09\u3002<\/p>\n<p>\u301011\u3011Sun\u7b49\u4eba\uff0c2025\uff0cReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability\uff08ReDeEP\uff1a\u901a\u8fc7\u673a\u68b0\u53ef\u89e3\u91ca\u6027\u68c0\u6d4b\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u4e2d\u7684\u5e7b\u89c9\uff09\u3002<\/p>\n<p>\u301012\u3011Manakul\u7b49\u4eba\uff0c2023\uff0cSelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models\uff08SelfCheckGPT\uff1a\u7528\u4e8e\u751f\u6210\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u96f6\u8d44\u6e90\u9ed1\u76d2\u5e7b\u89c9\u68c0\u6d4b\uff09\u3002<\/p>\n<p>\u301013\u3011Cohen\u7b49\u4eba\uff0c2023\uff0cLM vs LM: Detecting Factual Errors via Cross Examination\uff08LM vs LM\uff1a\u901a\u8fc7\u4ea4\u53c9\u8be2\u95ee\u68c0\u6d4b\u4e8b\u5b9e\u9519\u8bef\uff09\u3002<\/p>\n<p>\u301014\u3011Friel\u7b49\u4eba\uff0c2023\uff0cChainpoll: A high efficacy method for LLM hallucination detection\uff08Chainpoll\uff1a\u4e00\u79cd\u9ad8\u6548\u7684LLM\u5e7b\u89c9\u68c0\u6d4b\u65b9\u6cd5\uff09\u3002<\/p>\n<p>\u301015\u3011Song\u7b49\u4eba\uff0c2024\uff0cRAG-HAT: A Hallucination-Aware Tuning Pipeline for {LLM} in Retrieval-Augmented Generation\uff08RAG-HAT\uff1a\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u4e2d\u7528\u4e8eLLM\u7684\u5e7b\u89c9\u611f\u77e5\u8c03\u6574\u7ba1\u9053\uff09\u3002<\/p>\n<p>\u301016\u3011Devlin\u7b49\u4eba\uff0c2019\uff0cBERT: Pre-training of Deep Bidirectional Transformers for Language Understanding\uff08BERT\uff1a\u7528\u4e8e\u8bed\u8a00\u7406\u89e3\u7684\u6df1\u5ea6\u53cc\u5411Transformer\u9884\u8bad\u7ec3\uff09\u3002<\/p>\n<p>\u6587\u7ae0\u6765\u81ea\uff1a51CTO<\/p>\n<\/div>\n<\/div>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_25097\" class=\"pvc_stats total_only  \" data-element-id=\"25097\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.0\" viewBox=\"0 0 502 315\" preserveAspectRatio=\"xMidYMid meet\"><g transform=\"translate(0,332) scale(0.1,-0.1)\" fill=\"\" stroke=\"none\"><path d=\"M2394 3279 l-29 -30 -3 -207 c-2 -182 0 -211 15 -242 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70 36 67 87 -16 290 -86 209 -89 214 -129 231 -35 14 -42 15 -82 7z\"\/><path d=\"M3689 3066 c-15 -9 -33 -30 -42 -48 -48 -103 -147 -355 -147 -375 0 -98 131 -148 192 -74 13 15 57 108 97 206 80 196 84 226 37 273 -30 30 -99 39 -137 18z\"\/><path d=\"M583 2784 c-38 -19 -67 -74 -58 -113 9 -42 211 -354 242 -373 16 -10 45 -18 66 -18 51 0 107 52 107 100 0 39 -1 41 -124 234 -80 126 -108 162 -133 173 -41 17 -61 16 -100 -3z\"\/><path d=\"M4250 2784 c-14 -9 -74 -91 -133 -183 -95 -150 -107 -173 -107 -213 0 -55 33 -94 87 -104 67 -13 90 8 211 198 130 202 137 225 78 284 -27 27 -42 34 -72 34 -22 0 -50 -8 -64 -16z\"\/><path d=\"M2275 2693 c-553 -48 -1095 -270 -1585 -649 -135 -104 -459 -423 -483 -476 -23 -49 -22 -139 2 -186 73 -142 361 -457 571 -626 285 -228 642 -407 990 -497 242 -63 336 -73 660 -74 310 0 370 5 595 52 535 111 1045 392 1455 803 122 121 250 273 275 326 19 41 19 137 0 174 -41 79 -309 363 -465 492 -447 370 -946 591 -1479 653 -113 14 -422 18 -536 8z m395 -428 c171 -34 330 -124 456 -258 112 -119 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src=\"https:\/\/aif.amtbbs.org\/wp-content\/plugins\/page-views-count\/ajax-loader-2x.gif\" border=0 \/><\/p>\n<div class=\"pvc_clear\"><\/div>\n","protected":false},"author":56,"featured_media":25099,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,23,20,80],"tags":[1188,1052,1613],"class_list":["post-25097","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-23","category-20","category-80","tag-rag","tag-1052","tag-1613"],"_links":{"self":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/25097","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/users\/56"}],"replies":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/comments?post=25097"}],"version-history":[{"count":1,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/25097\/revisions"}],"predecessor-version":[{"id":25103,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/25097\/revisions\/25103"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media\/25099"}],"wp:attachment":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media?parent=25097"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/categories?post=25097"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/tags?post=25097"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}