{"id":34484,"date":"2024-12-07T11:56:30","date_gmt":"2024-12-07T03:56:30","guid":{"rendered":"https:\/\/17aitech.com\/?p=34484"},"modified":"2024-12-07T11:56:30","modified_gmt":"2024-12-07T03:56:30","slug":"%e6%b7%b1%e5%ba%a6%e8%a7%a3%e6%9e%90rag%e5%a4%a7%e6%a8%a1%e5%9e%8b%e7%9f%a5%e8%af%86%e5%86%b2%e7%aa%81%ef%bc%8c%e6%b8%85%e5%8d%8e%e8%a5%bf%e6%b9%96%e5%a4%a7%e5%ad%a6%e6%b8%af%e4%b8%ad%e6%96%87","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=34484","title":{"rendered":"\u6df1\u5ea6\u89e3\u6790RAG\u5927\u6a21\u578b\u77e5\u8bc6\u51b2\u7a81\uff0c\u6e05\u534e\u897f\u6e56\u5927\u5b66\u6e2f\u4e2d\u6587\u8054\u5408\u53d1\u5e03"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2024-07-10-9\" target=\"_blank\">\u6df1\u5ea6\u89e3\u6790RAG\u5927\u6a21\u578b\u77e5\u8bc6\u51b2\u7a81\uff0c\u6e05\u534e\u897f\u6e56\u5927\u5b66\u6e2f\u4e2d\u6587\u8054\u5408\u53d1\u5e03<\/a><\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-63075376b8270698f60ec81f649e0ae2.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-63075376b8270698f60ec81f649e0ae2.png\"><\/a><\/section>\n<blockquote data-author-name=\"\" data-content-utf8-length=\"166\" data-source-title=\"\" data-type=\"2\" data-url=\"\">\n<section>\n<section>AIxiv\u4e13\u680f\u662f<mark data-type=\"institutions\" data-id=\"9e96434f-5827-41e3-9b3c-36d39bc0d446\">\u673a\u5668\u4e4b\u5fc3<\/mark>\u53d1\u5e03\u5b66\u672f\u3001\u6280\u672f\u5185\u5bb9\u7684\u680f\u76ee\u3002\u8fc7\u53bb\u6570\u5e74\uff0c<mark data-type=\"institutions\" data-id=\"9e96434f-5827-41e3-9b3c-36d39bc0d446\">\u673a\u5668\u4e4b\u5fc3<\/mark>AIxiv\u4e13\u680f\u63a5\u6536\u62a5\u9053\u4e862000\u591a\u7bc7\u5185\u5bb9\uff0c\u8986\u76d6\u5168\u7403\u5404\u5927\u9ad8\u6821\u4e0e\u4f01\u4e1a\u7684\u9876\u7ea7\u5b9e\u9a8c\u5ba4\uff0c\u6709\u6548\u4fc3\u8fdb\u4e86\u5b66\u672f\u4ea4\u6d41\u4e0e\u4f20\u64ad\u3002\u5982\u679c\u60a8\u6709\u4f18\u79c0\u7684\u5de5\u4f5c\u60f3\u8981\u5206\u4eab\uff0c\u6b22\u8fce\u6295\u7a3f\u6216\u8005\u8054\u7cfb\u62a5\u9053\u3002\u6295\u7a3f\u90ae\u7bb1\uff1aliyazhou@jiqizhixin.com\uff1bzhaoyunfeng@jiqizhixin.com<\/section>\n<\/section>\n<\/blockquote>\n<p><strong>\u672c\u6587\u7ae0\u7684\u4f5c\u8005\u4e3a<mark data-type=\"institutions\" data-id=\"4349d6b9-40ff-4e23-a237-f9ace91c6c81\">\u6e05\u534e\u5927\u5b66<\/mark>\u4ea4\u53c9\u4fe1\u606f\u9662\u4e8c\u5e74\u7ea7\u7855\u58eb\u751f\u8bb8\u878d\u6b66\u548c\u4e00\u5e74\u7ea7\u535a\u58eb\u751f\u7941\u6cfd\u6db5\uff0c\u4ed6\u4eec\u4e5f\u662f\u672c\u7bc7\u7efc\u8ff0\u7684\u7684\u4e3b\u8981\u4f5c\u8005\u3002<\/strong><\/p>\n<p>\u968f\u7740<mark data-type=\"concepts\" data-id=\"2d28aa9c-942d-471d-bd96-8bfefb7144e0\">\u4eba\u5de5\u667a\u80fd<\/mark>\u548c\u5927\u578b\u6a21\u578b\u6280\u672f\u7684\u8fc5\u731b\u53d1\u5c55\uff0c\u68c0\u7d22\u589e<mark data-type=\"institutions\" data-id=\"6dcd60d7-34f7-4702-b719-5178a4bc83ef\">\u5f3a\u751f<\/mark>\u6210\uff08Retrieval-Augmented Generation, RAG\uff09\u5df2\u6210\u4e3a\u5927\u578b<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\u751f\u6210\u6587\u672c\u7684\u4e00\u79cd\u4e3b\u8981\u8303\u5f0f\u3002\u8fd9\u79cd\u6280\u672f\u7684\u4ee3\u8868 \u2014\u2014 \u68c0\u7d22\u589e\u5f3a\u7684\u5927\u578b<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\uff08Retrieval-Augmented Large Language Model, RALM\uff09\u2014\u2014 \u80fd\u591f\u76f4\u63a5\u5229\u7528\u68c0\u7d22\u5f97\u5230\u7684\u6587\u6863\u4fe1\u606f\u8fdb\u884c\u5185\u5bb9\u751f\u6210\uff0c\u65e0\u9700\u8fdb\u884c\u989d\u5916\u7684\u8bad\u7ec3\uff0c\u8fd9\u4e00\u4f18\u52bf\u4f7f\u5176\u5728\u5de5\u4e1a\u754c\u5f97\u5230\u4e86\u5e7f\u6cdb\u5e94\u7528\uff0c\u4f8b\u5982 New Bing \u641c\u7d22\u5f15\u64ce\u3002<\/p>\n<p>\u7136\u800c\uff0c\u81ea 2023 \u5e74\u8d77\uff0cRALM \u5728\u5904\u7406\u77e5\u8bc6\u51b2\u7a81\u65b9\u9762\u9762\u4e34\u7684\u95ee\u9898\u9010\u6e10\u6210\u4e3a\u7814\u7a76\u7684\u7126\u70b9\u3002\u77e5\u8bc6\u51b2\u7a81\u4e0d\u4ec5\u4e25\u91cd\u5f71\u54cd\u4e86\u6a21\u578b\u5728\u77e5\u8bc6\u5bc6\u96c6\u578b\u4efb\u52a1\u4e0a\u7684\u6027\u80fd\uff0c\u4e5f\u66b4\u9732\u4e86\u5176\u5728\u9762\u5bf9\u9519\u8bef\u4fe1\u606f\u65f6\u7684\u8106\u5f31\u6027\uff0c\u8fdb\u800c\u5bf9\u6a21\u578b\u7684\u5b89\u5168\u6027\u6784\u6210\u5a01\u80c1\uff0c\u5c24\u5176\u662f\u5728\u90a3\u4e9b\u5bf9\u4e8b\u5b9e\u51c6\u786e\u6027\u6709\u7740\u4e25\u683c\u8981\u6c42\u7684\u5e94\u7528\u573a\u666f\u4e2d\u3002\u77e5\u8bc6\u51b2\u7a81\u4e3b\u8981\u8868\u73b0\u5728\u6a21\u578b\u5185\u90e8\u7684<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u5316\u77e5\u8bc6\u4e0e\u5916\u90e8\u4e0a\u4e0b\u6587\u4fe1\u606f\u4e4b\u95f4\uff0c\u4ee5\u53ca\u5916\u90e8\u4e0a\u4e0b\u6587\u4fe1\u606f\u5185\u90e8\u7684\u4e0d\u4e00\u81f4\u6027\u3002\u6b64\u5916\uff0c\u7814\u7a76\u8005\u8fd8\u89c2\u5bdf\u5230\u6a21\u578b\u5185\u90e8<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u5316\u77e5\u8bc6\u4e4b\u95f4\u5b58\u5728\u51b2\u7a81\uff0c\u5373\u51fa\u73b0\u81ea\u76f8\u77db\u76fe\u7684\u73b0\u8c61\uff0c\u8fd9\u53ef\u80fd\u6e90\u4e8e\u6a21\u578b\u5728\u9884\u8bad\u7ec3\u9636\u6bb5\u5b66\u4e60\u5230\u4e86\u76f8\u4e92\u77db\u76fe\u7684\u4fe1\u606f\u3002<\/p>\n<p>\u6211\u4eec\u6765\u770b\u4e00\u4e2a\u5177\u4f53\u7684\u4f8b\u5b50\uff1a<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-f85a0339531610cd00bb93d14e028376.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-f85a0339531610cd00bb93d14e028376.png\"><\/a><\/p>\n<p>\u5728\u4e0a\u9762\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u5927\u6a21\u578b\u63a5\u53d7\u4e86\u4e00\u4e2a\u4e8b\u5b9e\u6027\u95ee\u9898\uff1a\u54ea\u53ea\u961f\u4f0d\u5728\u4e16\u754c\u676f\u4e2d\u83b7\u5f97\u4e86\u6700\u591a\u6b21\u7684\u51a0\u519b\uff1f\u5bf9\u4e8e\u8fd9\u4e2a\u95ee\u9898\uff0c\u4e00\u4e2a RALM \u53ef\u80fd\u4f1a\u68c0\u7d22\u7f51\u7edc\u4e0a\u3001\u5411\u91cf<mark data-type=\"concepts\" data-id=\"700f9c0f-1e8b-4fde-8bae-6de39c13f022\">\u6570\u636e\u5e93<\/mark>\u5185\u7684\u6587\u6863\uff0c\u540c\u65f6\u52a0\u4e0a\u7528\u6237\u4e4b\u524d\u7684\u63d0\u793a\u8bed\u7ec4\u6210\u7684\u5386\u53f2\u5bf9\u8bdd\u8bb0\u5f55\uff0c\u5171\u540c\u5f62\u6210\u4e86\u4e0a\u4e0b\u6587\u77e5\u8bc6\uff08Contextual Knowledge, Context\uff0c\u5728\u4e0a\u56fe\u7528\u9ec4\u8272\u4e88\u4ee5\u6807\u51fa\uff09\uff1b\u4e0e\u6b64\u540c\u65f6\uff0c\u5927\u6a21\u578b\u5728\u9884\u8bad\u7ec3\u4e2d\u4e5f\u770b\u5230\u4e86\u5173\u4e8e\u89e3\u7b54\u8fd9\u4e2a\u95ee\u9898\u7684\u4fe1\u606f\uff0c\u8fd9\u4e9b\u4fe1\u606f\u6784\u6210\u4e86\u5176<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u5316\u77e5\u8bc6\uff0c\u53c8\u79f0\u6a21\u578b\u7684 \u201c\u8bb0\u5fc6\u201d\uff08Parametric Knowledge\uff0cMemory\uff0c\u5728\u4e0a\u56fe\u7528\u84dd\u8272\u6807\u51fa\uff09\u3002\u6839\u636e\u51b2\u7a81\u4e24\u65b9\u4fe1\u606f\u7684\u6765\u6e90\uff0c\u6211\u4eec\u4fbf\u53ef \u201c\u4e24\u4e24\uff08\u53ef\u91cd\uff09\u7ec4\u5408\u201d \u5212\u5206\u4e3a\u4ee5\u4e0b\u4e09\u4e2a\u7c7b\u522b\uff1a<\/p>\n<ul>\n<li>\n<p>Context-Memory Conflict \u5373\u4e0a\u4e0b\u6587\u548c<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u77e5\u8bc6\u4e4b\u95f4\u7684\u51b2\u7a81\u3002\u4f8b\u5b50 1\uff1a\u6a21\u578b\u901a\u8fc7 Web \u68c0\u7d22\u83b7\u53d6\u7684\u77e5\u8bc6\u662f\u5373\u65f6\u7684\uff0c\u4f46\u5b66\u5230\u7684\u77e5\u8bc6\u5df2\u7ecf \u201c\u8fc7\u6c14\u201d\uff1b\u4f8b\u5b50 2\uff1a\u6a21\u578b\u83b7\u5f97\u4e86\u9519\u8bef\u7684\u5047\u4fe1\u606f\uff0c\u4e0e<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u77e5\u8bc6\u53d1\u751f\u4e86\u51b2\u7a81\u3002<\/p>\n<\/li>\n<li>\n<p>Inter-Context Conflict \u5373\u4e0a\u4e0b\u6587\u77e5\u8bc6\u5185\u90e8\u7684\u51b2\u7a81\u3002\u4f8b\u5b50\uff1a\u901a\u8fc7 Web \u68c0\u7d22\uff0c\u83b7\u5f97\u7684\u4fe1\u606f\u56e0\u4e3a\u53d1\u5e03\u7684\u65f6\u95f4\u4e0d\u540c\uff0c\u6216\u662f\u6df7\u5165\u4e86\u6076\u610f\u7684\u6709\u8bef\u4fe1\u606f\u800c\u81ea\u76f8\u51b2\u7a81\u3002<\/p>\n<\/li>\n<li>\n<p>Intra-Memory Conflict \u5373<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u5316\u77e5\u8bc6\u5185\u90e8\u7684\u51b2\u7a81\u3002\u4f8b\u5b50\uff1a\u5bf9\u4e8e\u4e8b\u5b9e\u6027\u95ee\u7b54\uff0c\u6a21\u578b\u5728\u8bed\u4e49\u76f8\u540c\u7684\u63d0\u793a\u4e00\u4e0b\u88ab\u6fc0\u53d1\u51fa\u4e0d\u540c\u7ed3\u679c\u7684\u7b54\u6848\uff0c\u4ea7\u751f\u51fa\u81ea\u76f8\u77db\u76fe\u7684\u6548\u679c\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u77e5\u8bc6\u51b2\u7a81\u6700\u65e9\u7684\u6587\u732e\u53ef\u4ee5\u8ffd\u6eaf\u5230 Longpre \u7b49\u4eba\u5728 EMNLP 2021 \u7684\u6587\u7ae0\uff1aEntity-based knowledge conflicts in question answering\u3002\u8fd9\u7bc7\u6587\u7ae0\u901a\u8fc7\u547d\u540d\u5b9e\u4f53\u66ff\u6362\u7684\u65b9\u6cd5\u5728\u5f00\u653e\u57df\u95ee\u7b54\uff08Open-Domain Question Answering\uff09\u6784\u9020\u4e86\u51b2\u7a81\u7684\u77e5\u8bc6\uff0c\u5e76\u5bf9\u5f53\u65f6\u7684<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\u8fdb\u884c\u4e86\u8bc4\u6d4b\u3002\u968f\u7740 2023 \u5e74\u5927\u578b<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\u7684\u5174\u8d77\u548c RAG \u8303\u5f0f\u5728\u5de5\u4e1a\u754c\u5e7f\u6cdb\u5e94\u7528\uff0c\u77e5\u8bc6\u51b2\u7a81\u7684\u7814\u7a76\u70ed\u5ea6\u9010\u6e10\u5347\u9ad8\uff0c\u56e0\u5176\u5f88\u5927\u7a0b\u5ea6\u4e0a\u964d\u4f4e\u4e86\u6a21\u578b\u5728\u5173\u952e\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\uff0c\u7279\u522b\u662f\u5bf9\u771f\u5b9e\u6027\u6709\u8981\u6c42\u7684\u4efb\u52a1\u3002<\/p>\n<p>\u8fd1\u671f\uff0c\u6765\u81ea<mark data-type=\"institutions\" data-id=\"4349d6b9-40ff-4e23-a237-f9ace91c6c81\">\u6e05\u534e\u5927\u5b66<\/mark>\u3001\u5251\u6865\u5927\u5b66\u3001\u897f\u6e56\u5927\u5b66\u3001\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\u7684\u7814\u7a76\u8005\u8054\u5408\u53d1\u5e03\u4e86\u4e00\u7bc7\u7efc\u8ff0\uff0c\u4ece\u8d77\u56e0\u3001\u8868\u73b0\u4ee5\u53ca\u89e3\u51b3\u65b9\u6848\u4e09\u4e2a\u65b9\u9762\uff0c\u5bf9\u4e09\u79cd\u4e0d\u540c\u7684\u77e5\u8bc6\u51b2\u7a81\u7c7b\u578b\u8fdb\u884c\u8be6\u7ec6\u63a2\u8ba8\uff0c\u5e2e\u52a9\u8bfb\u8005\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u5bf9\u8fd9\u4e00\u6311\u6218\u3002\u5728\u6211\u4eec\u770b\u6765\uff0c\u77e5\u8bc6\u51b2\u7a81\u65e2\u662f\u5bfc\u81f4\u5404\u79cd\u6a21\u578b\u4e0b\u6e38\u8868\u73b0\u7684\u539f\u56e0\uff0c\u4e5f\u662f\u4ece\u77e5\u8bc6\u81ea\u8eab\u548c\u6a21\u578b\u77e5\u8bc6\u5b66\u4e60\u4e2d\u5929\u7136\u590d\u6742\u6027\u4e2d\u5448\u73b0\u51fa\u7684\u6548\u679c\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-07188cb3284743c6a95c74849d4e8e3b.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-07188cb3284743c6a95c74849d4e8e3b.png\"><\/a><\/p>\n<ul>\n<li>\n<p>\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/abs\/2403.08319<\/p>\n<\/li>\n<li>\n<p>\u9879\u76ee\u5730\u5740\uff1ahttps:\/\/github.com\/pillowsofwind\/Knowledge-Conflicts-Survey<\/p>\n<\/li>\n<\/ul>\n<p>\u8fd9\u7bc7\u7efc\u8ff0\uff1a<\/p>\n<p>1. \u9996\u6b21\u7cfb\u7edf\u6027\u5730\u603b\u7ed3\u4e86\u77e5\u8bc6\u51b2\u7a81\u9886\u57df\u7684\u7814\u7a76\u5de5\u4f5c\uff1b<\/p>\n<p>2. \u5168\u9762\u5206\u6790\u4e86\u4e09\u79cd\u5927\u6a21\u578b\u53ef\u80fd\u906d\u9047\u7684\u51b2\u7a81\u7c7b\u578b\uff0c\u7279\u522b\u662f\u5bf9<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u5316\u77e5\u8bc6\u51b2\u7a81\u8fdb\u884c\u8ba8\u8bba\uff1b<\/p>\n<p>3. \u6211\u4eec\u4e0d\u4ec5\u63a2\u8ba8\u4e86\u6bcf\u79cd\u51b2\u7a81\u7684\u5206\u6790\uff0c\u8fd8\u4ece\u5176 \u201c\u751f\u547d\u5468\u671f\u201d \u7684\u89c6\u89d2\u51fa\u53d1\uff0c\u5ba1\u89c6\u4e86\u51b2\u7a81\u7684\u8d77\u56e0\u3001\u8868\u73b0\u4ee5\u53ca\u53ef\u80fd\u7684\u89e3\u51b3\u7b56\u7565\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-14d3b4f0151bf45f2742419dfe370574.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-14d3b4f0151bf45f2742419dfe370574.png\"><\/a><\/p>\n<p><strong>\u63a2\u7d22 Context-memory conflict\uff1a\u8d77\u56e0\u3001\u8868\u73b0\u4e0e\u89e3\u51b3\u65b9\u6848<\/strong><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-59c2e59167ff2d7caf1084adb13a09fa.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-59c2e59167ff2d7caf1084adb13a09fa.png\"><\/a><strong>\u8d77\u56e0<\/strong><\/p>\n<p>Context-Memory Conflict \u7684\u6838\u5fc3\u5728\u4e8e\u4e0a\u4e0b\u6587\u4fe1\u606f\u4e0e<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u5316\u77e5\u8bc6\u4e4b\u95f4\u7684\u5dee\u5f02\u3002\u8fd9\u79cd\u51b2\u7a81\u7684\u8d77\u56e0\u4e3b\u8981\u5206\u4e3a\u4e24\u4e2a\u65b9\u9762\uff1a\u65f6\u95f4\u9519\u4f4d\uff08Temporal Misalignment\uff09\u548c\u4fe1\u606f\u6c61\u67d3\uff08Misinformation Pollution\uff09\u3002<\/p>\n<p>1. \u65f6\u95f4\u9519\u4f4d\uff08Temporal Misalignment\uff09<\/p>\n<p>\u65f6\u95f4\u9519\u4f4d\u662f\u6307\u6a21\u578b\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u4f7f\u7528\u7684\u5386\u53f2\u6570\u636e\u65e0\u6cd5\u51c6\u786e\u53cd\u6620\u5f53\u524d\u6216\u672a\u6765\u7684\u73b0\u5b9e\u3002\u8fd9\u79cd\u73b0\u8c61\u5728\u5927<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\u4e2d\u5c24\u4e3a\u660e\u663e\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u6a21\u578b\u901a\u5e38\u5728\u5927\u91cf\u9759\u6001\u6570\u636e\u4e0a\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u800c\u8fd9\u4e9b\u6570\u636e\u53ef\u80fd\u5728\u73b0\u5b9e\u4e2d\u5df2\u7ecf\u8fc7\u65f6\u3002\u4f8b\u5982\uff0c\u4e00\u7bc7\u5173\u4e8e 2020 \u5e74\u5965\u8fd0\u4f1a\u7684\u6587\u7ae0\u5728 2024 \u5e74\u53ef\u80fd\u5df2\u7ecf\u4e0d\u518d\u51c6\u786e\uff0c\u7136\u800c\uff0c\u6a21\u578b\u53ef\u80fd\u4f9d\u7136\u4f9d\u8d56\u8fd9\u4e9b\u8fc7\u65f6\u7684\u4fe1\u606f\u8fdb\u884c\u9884\u6d4b\u548c\u56de\u7b54\u95ee\u9898\u3002\u7814\u7a76\u8868\u660e\uff0c<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\u7684\u6027\u80fd\u4f1a\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u800c\u4e0b\u964d\uff0c\u8bed\u8a00\u7684\u4f7f\u7528\u65b9\u5f0f\u3001\u6587\u5316\u53d8\u5316\u4ee5\u53ca\u77e5\u8bc6\u66f4\u65b0\u7b49\u90fd\u4f1a\u5f71\u54cd\u6a21\u578b\u5bf9\u5f53\u524d\u4fe1\u606f\u7684\u5904\u7406\u80fd\u529b\u3002<\/p>\n<p>2. \u4fe1\u606f\u6c61\u67d3\uff08Misinformation Pollution\uff09<\/p>\n<p>\u4fe1\u606f\u6c61\u67d3\u662f\u6307\u5916\u90e8\u4fe1\u606f\u4e2d\u5939\u6742\u7740\u9519\u8bef\u6216\u8bef\u5bfc\u6027\u7684\u4fe1\u606f\uff0c\u8fd9\u4e9b\u4e0d\u51c6\u786e\u7684\u6570\u636e\u4f1a\u5f71\u54cd\u6a21\u578b\u7684\u5224\u65ad\u548c\u51b3\u7b56\u80fd\u529b\u3002\u8fd9\u79cd\u60c5\u51b5\u5728\u4e92\u8054\u7f51\u65f6\u4ee3\u5c24\u4e3a\u666e\u904d\uff0c\u7f51\u7edc\u4e0a\u5145\u65a5\u7740\u5404\u79cd\u865a\u5047\u4fe1\u606f\u3001\u8c23\u8a00\u4ee5\u53ca\u6545\u610f\u7f16\u9020\u7684\u5047\u65b0\u95fb\u3002\u6076\u610f\u7528\u6237\u53ef\u80fd\u901a\u8fc7\u5728\u7f51\u7edc\u4e0a\u53d1\u5e03\u865a\u5047\u4fe1\u606f\uff0c\u5e72\u6270\u6a21\u578b\u7684\u5224\u65ad\u3002\u4f8b\u5982\uff0c\u6076\u610f\u653b\u51fb\u8005\u53ef\u4ee5\u5728\u793e\u4ea4\u5a92\u4f53\u4e0a\u53d1\u5e03\u865a\u5047\u7684\u533b\u7597\u4fe1\u606f\uff0c\u4ece\u800c\u8bef\u5bfc\u4f9d\u8d56\u8fd9\u4e9b\u4fe1\u606f\u8fdb\u884c\u5224\u65ad\u7684\u6a21\u578b\u3002\u4fe1\u606f\u6c61\u67d3\u4e0d\u4ec5\u4f1a\u5f71\u54cd\u6a21\u578b\u7684\u51c6\u786e\u6027\uff0c\u8fd8\u4f1a\u7834\u574f\u7528\u6237\u5bf9\u6a21\u578b\u7684\u4fe1\u4efb\u3002\u7814\u7a76\u8868\u660e\u6076\u610f\u7684\u865a\u5047\u4fe1\u606f\u4f1a\u663e\u8457\u524a\u5f31\u81ea\u52a8\u5316\u4e8b\u5b9e\u6838\u67e5\u7cfb\u7edf\u548c\u5f00\u653e\u57df<mark data-type=\"tech_tasks\" data-id=\"fca61fff-ab9b-4ee2-8716-bbd8e7a44507\">\u95ee\u7b54\u7cfb\u7edf<\/mark>\u7684\u51c6\u786e\u6027\u3002<\/p>\n<p><strong>\u8868\u73b0<\/strong><\/p>\n<p>\u5f53\u9762\u5bf9 Context-Memory Conflict \u65f6\uff0c\u6a21\u578b\u7684\u884c\u4e3a\u8868\u73b0\u51fa\u663e\u8457\u7684\u590d\u6742\u6027\u548c\u591a\u6837\u6027\u3002\u4ee5\u4e0b\u662f\u4e24\u79cd\u8868\u73b0\u5f62\u5f0f\uff1a<\/p>\n<p>1. \u4f9d\u8d56<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u5316\u77e5\u8bc6<\/p>\n<p>\u4e00\u4e9b\u6a21\u578b\u5728\u5904\u7406\u4e0a\u4e0b\u6587\u4e0e\u5185\u5b58\u77db\u76fe\u65f6\uff0c\u5f80\u5f80\u4f1a\u8fc7\u5ea6\u4f9d\u8d56\u5176\u5185\u90e8\u7684<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u77e5\u8bc6\uff0c\u800c\u5ffd\u89c6\u5916\u90e8\u63d0\u4f9b\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\u3002\u8fd9\u79cd\u884c\u4e3a\u5728\u65e9\u671f\u7684\u5f00\u653e\u57df\u95ee\u7b54\uff08ODQA\uff09\u7814\u7a76\u4e2d\u5f97\u5230\u4e86\u9a8c\u8bc1\u3002Longpre \u7b49\u4eba\uff082021\uff09\u53d1\u73b0 QA \u6a21\u578b\u5728\u9762\u5bf9\u4e0a\u4e0b\u6587\u4fe1\u606f\u4e0e\u5176\u5185\u90e8\u77e5\u8bc6\u51b2\u7a81\u65f6\uff0c\u503e\u5411\u4e8e\u4f9d\u8d56\u5185\u5b58\u77e5\u8bc6\u3002<\/p>\n<p>2. \u4f9d\u8d56\u4e0a\u4e0b\u6587\u4fe1\u606f<\/p>\n<p>\u53e6\u4e00\u65b9\u9762\uff0c\u67d0\u4e9b\u6a21\u578b\u5728\u9762\u5bf9\u5916\u90e8\u8bc1\u636e\u65f6\uff0c\u5373\u4f7f\u8fd9\u4e9b\u8bc1\u636e\u4e0e\u5176\u5185\u90e8\u8bb0\u5fc6\u76f8\u77db\u76fe\uff0c\u4e5f\u4f1a\u503e\u5411\u4e8e\u91c7\u4fe1\u5916\u90e8\u8bc1\u636e\u3002Chen \u7b49\u4eba\uff082022\uff09\u5728 QA \u6a21\u578b\u4e0a\u7684\u5b9e\u9a8c\u8868\u660e\u6a21\u578b\u503e\u5411\u4e8e\u4f9d\u8d56\u4e0a\u4e0b\u6587\u77e5\u8bc6\uff0c\u4e0e Longpre \u7b49\u4eba\u7684\u53d1\u73b0\u5f62\u6210\u5bf9\u6bd4\uff0c\u5176\u89e3\u91ca\u4e3a Longpre \u6784\u9020\u7684\u51b2\u7a81\u4fe1\u606f\u8fc7\u4e8e\u7b80\u5355\u3002\u6700\u8fd1\uff0cXie \u7b49\u4eba\uff082023\uff09\u901a\u8fc7\u64cd\u63a7\u5927\u6a21\u578b\u751f\u6210 \u201c\u66f4\u7b26\u5408<mark data-type=\"concepts\" data-id=\"95a97f4b-79d2-4bbc-91ae-300f074dff9f\">\u903b\u8f91<\/mark>\u201d \u7684\u51b2\u7a81\u4e0a\u4e0b\u6587\uff0c\u53d1\u73b0\u5927\u6a21\u578b\u5728\u9762\u5bf9\u5916\u90e8\u8bc1\u636e\u65f6\uff0c\u5373\u4f7f\u8fd9\u4e9b\u8bc1\u636e\u4e0e\u5176<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u77e5\u8bc6\u76f8\u77db\u76fe\uff0c\u4e5f\u66f4\u503e\u5411\u4e8e\u4fe1\u4efb\u5916\u90e8\u8bc1\u636e\u3002<\/p>\n<p><strong>\u89e3\u51b3\u65b9\u6848<\/strong><\/p>\n<p>\u4e3a\u4e86\u6709\u6548\u5e94\u5bf9 Context-Memory Conflict\uff0c\u7814\u7a76\u4eba\u5458\u63d0\u51fa\u4e86\u591a\u79cd\u89e3\u51b3\u65b9\u6848\uff0c\u8fd9\u4e9b\u65b9\u6848\u4e3b\u8981\u5206\u4e3a\u5728\u51b2\u7a81\u53d1\u751f\u524d\u7684\u9884\u9632\u63aa\u65bd\uff08pre-hoc strategies\uff09\u548c\u51b2\u7a81\u53d1\u751f\u540e\u7684\u5e94\u5bf9\u63aa\u65bd\uff08post-hoc strategies\uff09\u3002\u4ee5\u4e0b\u662f\u51e0\u79cd\u4e3b\u8981\u7684\u89e3\u51b3\u65b9\u6848\uff1a<\/p>\n<p>1. \u9884\u9632\u63aa\u65bd<\/p>\n<ul>\n<li>\n<p>\u6301\u7eed\u5b66\u4e60\uff08Continue Learning\uff09\uff1a\u901a\u8fc7\u6301\u7eed\u9884\u8bad\u7ec3\u6a21\u578b\u4ee5\u7eb3\u5165\u65b0\u7684\u548c\u66f4\u65b0\u7684\u6570\u636e\uff0c\u4ece\u800c\u51cf\u5c11\u65f6\u95f4\u9519\u4f4d\u5e26\u6765\u7684\u5f71\u54cd\u3002\u4f8b\u5982\uff0cLazaridou \u7b49\u4eba\uff082021\uff09\u5efa\u8bae\u901a\u8fc7\u6301\u7eed\u9884\u8bad\u7ec3\u6765\u66f4\u65b0\u6a21\u578b\u7684\u5185\u90e8\u77e5\u8bc6\uff0c\u4ee5\u8ddf\u4e0a\u6700\u65b0\u7684\u4fe1\u606f\u3002<\/p>\n<\/li>\n<li>\n<p>\u77e5\u8bc6\u7f16\u8f91\uff08Knowledge Editing\uff09\uff1a\u76f4\u63a5\u66f4\u65b0\u5df2\u8bad\u7ec3\u6a21\u578b\u7684<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u77e5\u8bc6\uff0c\u4ee5\u53cd\u6620\u6700\u65b0\u7684\u4fe1\u606f\u3002\u4f8b\u5982\uff0cDe Cao \u7b49\u4eba\uff082021\uff09\u63d0\u51fa\u4e86\u4e00\u79cd\u77e5\u8bc6\u7f16\u8f91\u65b9\u6cd5\uff0c\u65e8\u5728\u76f4\u63a5\u4fee\u6539\u6a21\u578b\u7684\u5185\u90e8\u77e5\u8bc6\uff0c\u4ee5\u7ea0\u6b63\u9519\u8bef\u6216\u8fc7\u65f6\u7684\u4fe1\u606f\u3002\u4f46\u662f\u77e5\u8bc6\u7f16\u8f91\u7684\u4e00\u4e2a\u5f0a\u7aef\u662f\u53ef\u80fd\u4f1a\u5bfc\u81f4\u6a21\u578b\u51fa\u73b0\u5185\u5728\u51b2\u7a81\u7684\u77e5\u8bc6\uff0c\u5373\u8bf1\u53d1\u540e\u9762\u6211\u4eec\u63d0\u5230\u7684 intra-memory conflict\u3002<\/p>\n<\/li>\n<\/ul>\n<p>2. \u5e94\u5bf9\u63aa\u65bd<\/p>\n<ul>\n<li>\n<p>\u5fae\u8c03\u6a21\u578b\uff08Fine-Tuning\uff09\uff1a\u901a\u8fc7\u5f15\u5165\u53cd\u4e8b\u5b9e\u548c\u65e0\u5173\u4e0a\u4e0b\u6587\u7b49\u65b9\u6cd5\uff0c\u52a0\u5f3a\u6a21\u578b\u5bf9\u4e0a\u4e0b\u6587\u7684\u63a7\u5236\u80fd\u529b\u548c\u9c81\u68d2\u6027\u3002\u4f8b\u5982\uff0cLi \u7b49\u4eba\uff082022\uff09\u63d0\u51fa\u7684\u77e5\u8bc6<mark data-type=\"concepts\" data-id=\"1ccbfcc7-1b56-44d6-b64b-729d855abcb1\">\u611f\u77e5<\/mark>\u7ec6\u8c03\uff08KAFT\uff09\u65b9\u6cd5\uff0c\u901a\u8fc7\u5728\u6807\u51c6\u8bad\u7ec3\u6570\u636e\u96c6\u4e2d\u5f15\u5165\u53cd\u4e8b\u5b9e\u548c\u65e0\u5173\u4e0a\u4e0b\u6587\uff0c\u589e\u5f3a\u4e86\u6a21\u578b\u5728\u9762\u5bf9\u51b2\u7a81\u4fe1\u606f\u65f6\u7684\u9c81\u68d2\u6027\u3002<\/p>\n<\/li>\n<li>\n<p>\u63d0\u793a\u8bed\u6280\u672f\uff08Prompting\uff09\uff1a\u901a\u8fc7\u4e13\u95e8\u8bbe\u8ba1\u7684\u63d0\u793a\u8bed\u7b56\u7565\uff0c\u589e\u5f3a\u6a21\u578b\u5bf9\u4e0a\u4e0b\u6587\u7684\u4f9d\u8d56\u3002\u4f8b\u5982\uff0cZhou \u7b49\u4eba\uff082023\uff09\u63d0\u51fa\u4e86\u7b80\u6d01\u7684 context-faithful prompting \u7684\u6280\u672f\uff0c\u663e\u8457\u63d0\u5347\u4e86\u6a21\u578b\u5728\u4e0a\u4e0b\u6587\u654f\u611f\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\u3002<\/p>\n<\/li>\n<li>\n<p>\u77e5\u8bc6\u63d2\u5165\uff08Knowledge Plug-in\uff09\uff1a\u901a\u8fc7\u63d2\u4ef6\u6a21\u5757\u5b58\u50a8\u66f4\u65b0\u7684\u77e5\u8bc6\uff0c\u786e\u4fdd\u539f\u59cb\u6a21\u578b\u4e0d\u53d7\u5f71\u54cd\u3002\u4f8b\u5982\uff0cLee \u7b49\u4eba\uff082022\uff09\u63d0\u51fa\u7684\u6301\u7eed\u66f4\u65b0 QA\uff08CuQA\uff09\u65b9\u6cd5\uff0c\u901a\u8fc7\u77e5\u8bc6\u63d2\u4ef6\u589e\u5f3a\u6a21\u578b\u7684\u77e5\u8bc6\u66f4\u65b0\u80fd\u529b\uff0c\u800c\u4e0d\u5f71\u54cd\u5176\u539f\u6709<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u3002<\/p>\n<\/li>\n<li>\n<p>\u89e3\u7801\u6280\u672f\uff08Decoding\uff09\uff1a\u901a\u8fc7\u8c03\u6574\u89e3\u7801\u7b56\u7565\uff0c\u51cf\u5c11\u6a21\u578b\u5728\u77e5\u8bc6\u51b2\u7a81\u60c5\u51b5\u4e0b\u751f\u6210\u5e7b\u89c9\u7684\u6982\u7387\u3002\u4f8b\u5982\uff0cShi \u7b49\u4eba\uff082023\uff09\u63d0\u51fa\u7684\u4e0a\u4e0b\u6587<mark data-type=\"concepts\" data-id=\"1ccbfcc7-1b56-44d6-b64b-729d855abcb1\">\u611f\u77e5<\/mark>\u89e3\u7801\uff08CAD\uff09\u65b9\u6cd5\uff0c\u901a\u8fc7\u653e\u5927\u8f93\u51fa\u6982\u7387\u7684\u5dee\u5f02\uff0c\u4f18\u5148\u8003\u8651\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u4ece\u800c\u51cf\u5c11\u6a21\u578b\u5728\u51b2\u7a81\u4fe1\u606f\u4e0b\u7684\u8bef\u5bfc\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u7ed3\u5408\u8fd9\u4e9b\u9884\u9632\u548c\u5e94\u5bf9\u63aa\u65bd\uff0c\u53ef\u4ee5\u4ece\u4e0d\u540c\u89d2\u5ea6\u63d0\u9ad8\u6a21\u578b\u5728\u5904\u7406 Context-Memory Conflict \u65f6\u7684\u51c6\u786e\u6027\u548c\u9c81\u68d2\u6027\uff0c\u4ece\u800c\u63d0\u5347\u6a21\u578b\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u8868\u73b0\u548c\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n<p><strong>\u63a2\u7d22 Inter-Context Conflict\uff1a\u8d77\u56e0\u3001\u8868\u73b0\u4e0e\u89e3\u51b3\u65b9\u6848<\/strong><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-01d9fd405fc7c9a705e24a1fa871093b.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-01d9fd405fc7c9a705e24a1fa871093b.png\"><\/a><\/p>\n<p><strong>\u8d77\u56e0<\/strong><\/p>\n<p>Inter-Context \u51b2\u7a81\u662f\u6307\u5728\u4e0d\u540c\u5916\u90e8\u4fe1\u606f\u6574\u5408\u8fc7\u7a0b\u4e2d\u51fa\u73b0\u7684\u77db\u76fe\uff0c\u5c3d\u7ba1\u8fd9\u4e9b\u5916\u90e8\u4fe1\u606f\u80fd\u4e30\u5bcc\u5927\u6a21\u578b\u7684\u56de\u7b54\uff0c\u4f46\u4e5f\u53ef\u80fd\u5bfc\u81f4\u4e0a\u4e0b\u6587\u4e4b\u95f4\u7684\u4fe1\u606f\u51b2\u7a81\u3002\u8fd9\u79cd\u51b2\u7a81\u7684\u53d1\u751f\u4e3b\u8981\u662f\u56e0\u4e3a\u5916\u90e8\u4fe1\u606f\u4e2d\u53ef\u80fd\u5305\u542b\u9519\u8bef\u4fe1\u606f\uff08Misinformation\uff09\u548c\u8fc7\u65f6\u4fe1\u606f\uff08Outdated <mark data-type=\"institutions\" data-id=\"6bc5e4f6-94eb-45d5-a1e8-b236decc51ca\">Infor<\/mark>mation\uff09\u3002<\/p>\n<p>1. \u9519\u8bef\u4fe1\u606f\uff08Misinformation\uff09<\/p>\n<p>\u68c0\u7d22\u589e<mark data-type=\"institutions\" data-id=\"6dcd60d7-34f7-4702-b719-5178a4bc83ef\">\u5f3a\u751f<\/mark>\u6210\u6280\u672f\uff08RAG\uff09\u901a\u8fc7\u6574\u5408\u5916\u90e8\u4fe1\u606f\u6765\u63d0\u5347\u5927\u6a21\u578b\u7684\u54cd\u5e94\u8d28\u91cf\uff0c\u7136\u800c\u8fd9\u4e9b\u5916\u90e8\u4fe1\u606f\u53ef\u80fd\u542b\u6709\u865a\u5047\u5185\u5bb9\u3002\u4f8b\u5982\uff0c\u53ef\u80fd\u4f1a\u6df7\u5165\u4f2a\u9020\u65b0\u95fb\u6216\u7531 AI \u751f\u6210\u7684\u8bef\u5bfc\u6027\u5185\u5bb9\uff0c\u5bfc\u81f4\u68c0\u7d22\u5230\u7684\u4fe1\u606f\u4e4b\u95f4\u4ea7\u751f\u51b2\u7a81\u3002\u9762\u5bf9\u8fd9\u4e9b\u51b2\u7a81\uff0c\u6a21\u578b\u5982\u4f55\u5904\u7406\u662f\u4e00\u4e2a\u91cd\u8981\u6311\u6218\u3002\u82e5\u4e0d\u80fd\u6709\u6548\u89e3\u51b3\u8fd9\u4e9b\u51b2\u7a81\uff0c\u53ef\u80fd\u5bfc\u81f4\u6a21\u578b\u751f\u6210\u7684\u5185\u5bb9\u4e0d\u51c6\u786e\uff0c\u8fdb\u800c\u52a0\u5267\u865a\u5047\u4fe1\u606f\u7684\u4f20\u64ad\uff0c\u8fdb\u4e00\u6b65\u6df7\u6dc6\u4fe1\u606f\u3002<\/p>\n<p>2. \u8fc7\u65f6\u4fe1\u606f\uff08Outdated <mark data-type=\"institutions\" data-id=\"6bc5e4f6-94eb-45d5-a1e8-b236decc51ca\">Infor<\/mark>mation\uff09<\/p>\n<p>\u968f\u7740\u65f6\u95f4\u63a8\u79fb\uff0c\u4e8b\u5b9e\u4f1a\u53d1\u751f\u53d8\u5316\u3002\u5927\u6a21\u578b\u5728\u68c0\u7d22\u5916\u90e8\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u540c\u65f6\u5305\u542b\u6700\u65b0\u548c\u8fc7\u65f6\u4fe1\u606f\u7684\u6587\u6863\u3002\u8fd9\u79cd\u4fe1\u606f\u7684\u65f6\u95f4\u5dee\u5f02\u4f1a\u5bfc\u81f4\u4e0a\u4e0b\u6587\u4e4b\u95f4\u7684\u51b2\u7a81\u3002\u4f8b\u5982\uff0c\u5173\u4e8e\u67d0\u4e2a\u4e8b\u4ef6\u7684\u6700\u65b0\u53d1\u5c55\u4e0e\u8fc7\u65f6\u7684\u4fe1\u606f\u4e4b\u95f4\u7684\u77db\u76fe\uff0c\u4f1a\u5f71\u54cd\u6a21\u578b\u7684\u54cd\u5e94\u51c6\u786e\u6027\u3002\u8fc7\u65f6\u7684\u4fe1\u606f\u4e0d\u4ec5\u4f1a\u4f7f\u6a21\u578b\u7684\u56de\u7b54\u53d8\u5f97\u4e0d\u51c6\u786e\uff0c\u8fd8\u53ef\u80fd\u5bfc\u81f4\u7528\u6237\u5bf9\u6a21\u578b\u5931\u53bb\u4fe1\u4efb\u3002<\/p>\n<p><strong>\u8868\u73b0<\/strong><\/p>\n<p>\u5728\u9762\u5bf9 Inter-Context Conflict \u65f6\uff0c\u5927\u6a21\u578b\u5728\u88ab\u52a8\u548c\u4e3b\u52a8\u4e24\u79cd\u89d2\u5ea6\u4e0b\u90fd\u8868\u73b0\u51fa\u4e86\u7279\u5b9a\u7684\u884c\u4e3a\u7279\u5f81\uff1a<\/p>\n<p>1. \u6027\u80fd\u5f71\u54cd\uff08Performance Impact\uff09<\/p>\n<p>\u9519\u8bef\u6216\u8fc7\u65f6\u4fe1\u606f\u4f1a\u663e\u8457\u5f71\u54cd\u5927\u6a21\u578b\u7684\u6027\u80fd\u3002\u4f8b\u5982\uff0cChen \u7b49\uff082022\uff09\u7684\u7814\u7a76\u4e5f\u6307\u51fa\uff0c\u5f53\u6a21\u578b\u5728\u9047\u5230\u77db\u76fe\u7684\u4fe1\u606f\u65f6\uff0c\u4f46\u5b83\u4eec\u66f4\u503e\u5411\u4e8e\u4fe1\u4efb\u4e0e\u95ee\u9898\u76f4\u63a5\u76f8\u5173\u7684\u4fe1\u606f\u548c\u6a21\u578b\u5185\u90e8\u7684<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u77e5\u8bc6\u3002Pan \u7b49\uff082023a\uff09\u901a\u8fc7\u5c06\u4f2a\u9020\u7684\u7ef4\u57fa\u767e\u79d1\u6587\u7ae0\u63d2\u5165\u771f\u5b9e\u7684\u7ef4\u57fa\u767e\u79d1<mark data-type=\"concepts\" data-id=\"930c591c-a35b-4761-83ef-22ef12aa3c5f\">\u8bed\u6599\u5e93<\/mark>\uff0c\u53d1\u73b0\u73b0\u6709<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\u5728\u9762\u5bf9\u865a\u5047\u4fe1\u606f\u653b\u51fb\u65f6\u8868\u73b0\u4e0d\u4f73\u3002Xie \u7b49\uff082023\uff09\u7684\u7814\u7a76\u8fdb\u4e00\u6b65\u63ed\u793a\uff0c\u5927\u6a21\u578b\u5bf9\u4e0e\u6a21\u578b<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u8bb0\u5fc6\u4e00\u81f4\u7684\u8bc1\u636e\u5b58\u5728\u663e\u8457\u504f\u597d\uff0c\u5c24\u5176\u662f\u5f53\u8fd9\u4e9b\u8bc1\u636e\u6d89\u53ca\u5e38\u89c1\u5b9e\u4f53\u6216\u5f97\u5230\u5927\u91cf\u6587\u6863\u652f\u6301\u65f6\u3002<\/p>\n<p>2. \u68c0\u6d4b\u80fd\u529b\uff08Detection Ability\uff09<\/p>\n<p>\u68c0\u6d4b\u4e0a\u4e0b\u6587\u4e2d\u7684\u77db\u76fe\u4fe1\u606f\u4e5f\u662f\u4e00\u9879\u91cd\u8981\u4efb\u52a1\u3002Li \u7b49\uff082023a\uff09\u5206\u6790\u4e86 GPT-4\u3001PaLM-2 \u548c Llama 2 \u5728\u65b0\u95fb\u3001\u6545\u4e8b\u548c\u7ef4\u57fa\u767e\u79d1\u6587\u7ae0\u4e2d\u68c0\u6d4b\u77db\u76fe\u6587\u4ef6\u7684\u80fd\u529b\uff0c\u7ed3\u679c\u663e\u793a\u5e73\u5747\u68c0\u6d4b<mark data-type=\"concepts\" data-id=\"8be77eae-12da-4e9e-9a88-b7f5bae98c2e\">\u51c6\u786e\u7387<\/mark>\u8f83\u4f4e\u3002Wan \u7b49\uff082024\uff09\u7684\u7814\u7a76\u5219\u63ed\u793a\uff0c\u73b0\u6709\u6a21\u578b\u5728\u8bc4\u4f30\u6587\u6863\u53ef\u4fe1\u5ea6\u65f6\uff0c\u5f80\u5f80\u9ad8\u5ea6\u4f9d\u8d56\u4e0e<mark data-type=\"concepts\" data-id=\"bf740558-f0f7-41a8-87a0-e695a97563b3\">\u67e5\u8be2<\/mark>\u76f8\u5173\u7684\u6587\u6863\u5185\u5bb9\uff0c\u4f46\u5ffd\u7565\u4e86\u4eba\u7c7b\u8ba4\u4e3a\u91cd\u8981\u7684\u6587\u4f53\u7279\u5f81\uff0c\u5982\u79d1\u5b66\u5f15\u7528\u6216\u4e2d\u7acb\u7684\u8bed\u6c14\u3002Jin \u7b49\u4eba\uff082024a\uff09\u53d1\u73b0\u5927\u6a21\u578b\u504f\u7231\u5728\u4e0a\u4e0b\u6587\u4e2d\u51fa\u73b0\u9891\u7387\u6700\u9ad8\u7684\u8bc1\u636e\uff0c\u5e76\u5bf9\u4e0e\u5176\u5185\u90e8\u8bb0\u5fc6\u4e00\u81f4\u7684\u5916\u90e8\u4fe1\u606f\u8868\u73b0\u51fa\u660e\u663e\u503e\u5411\u3002<\/p>\n<p><strong>\u89e3\u51b3\u65b9\u6848<\/strong><\/p>\n<p>\u4e3a\u4e86\u6709\u6548\u5e94\u5bf9 Inter-Context Conflict\uff0c\u7814\u7a76\u4eba\u5458\u4ece\u591a\u79cd\u89d2\u5ea6\u63d0\u51fa\u4e86\u89e3\u51b3\u65b9\u6848\uff0c\u8fd9\u4e9b\u65b9\u6848\u4e3b\u8981\u5206\u4e3a\u6d88\u9664\u51b2\u7a81\uff08Eliminating Conflict\uff09\u548c\u63d0\u9ad8\u9c81\u68d2\u6027\uff08Improving Robustness\uff09\u4e24\u4e2a\u65b9\u9762\uff0c\u4ece\u4e3b\u52a8\u548c\u88ab\u52a8\u4e24\u4e2a\u89d2\u5ea6\u89e3\u51b3 Inter-Context Conflict\u3002<\/p>\n<p>1. \u6d88\u9664\u51b2\u7a81\uff08Eliminating Conflict\uff09<\/p>\n<ul>\n<li>\n<p>\u4e13\u7528\u6a21\u578b\uff08Specialized Models\uff09\uff1a\u4e13\u95e8\u8bad\u7ec3\u4e00\u4e2a\u6a21\u578b\u6765\u66f4\u597d\u5730\u5904\u7406\u7279\u5b9a\u7c7b\u578b\u7684\u51b2\u7a81\u3002\u5982 Pielka \u7b49\uff082022\uff09\u5efa\u8bae\u5728\u5b66\u4e60\u8fc7\u7a0b\u4e2d\u52a0\u5165<mark data-type=\"concepts\" data-id=\"e495445a-c189-4783-b0fb-17dcd3bfc9de\">\u8bed\u8a00\u5b66<\/mark>\u77e5\u8bc6\uff0c\u901a\u8fc7\u5f15\u5165\u8bed\u6cd5\u548c\u8bed\u4e49\u7279\u5f81\u6765\u589e\u5f3a\u5bf9\u77db\u76fe\u4fe1\u606f\u7684\u8bc6\u522b\uff0c\u4ee5\u63d0\u9ad8\u6a21\u578b\u5bf9\u77db\u76fe\u68c0\u6d4b\u7684\u80fd\u529b\u3002<\/p>\n<\/li>\n<li>\n<p>\u901a\u7528\u6a21\u578b\uff08General Models\uff09\uff1a\u4f7f\u7528\u901a\u7528\u6a21\u578b\u6765\u5b8c\u6210\u51b2\u7a81\u6d88\u9664\u3002Chern \u7b49\uff082023\uff09\u63d0\u51fa\u4e86\u4e00\u4e2a\u6574\u5408\u4e86\u591a\u79cd\u5de5\u5177\uff08\u5982 Google Search\u3001Google Scholar \u7b49\uff09\u7684\u4e8b\u5b9e\u6838\u67e5\u6846\u67b6\uff0c\u7528\u4e8e\u68c0\u6d4b\u6587\u672c\u4e2d\u7684\u4e8b\u5b9e\u9519\u8bef\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u4f9d\u8d56\u4e8e\u6a21\u578b\u7684\u5185\u90e8\u77e5\u8bc6\uff0c\u8fd8\u7ed3\u5408\u4e86\u5916\u90e8\u68c0\u7d22\u5230\u7684\u4fe1\u606f\uff0c\u63d0\u4f9b\u66f4\u4e3a\u5168\u9762\u7684\u4e8b\u5b9e\u9a8c\u8bc1\u3002<\/p>\n<\/li>\n<\/ul>\n<p>2. \u63d0\u9ad8\u9c81\u68d2\u6027\uff08Improving Robustness\uff09<\/p>\n<ul>\n<li>\n<p>\u8bad\u7ec3\u65b9\u6cd5\uff08Training Approach\uff09\uff1a\u4ece\u8bad\u7ec3\u7b97\u6cd5\u4e0a\u63d0\u5347\u6a21\u578b\u5728\u9762\u4e34\u51b2\u7a81\u4e0a\u4e0b\u6587\u65f6\u7684\u9c81\u68d2\u6027\u3002Hong \u7b49\uff082023\uff09\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u5fae\u8c03\u65b9\u6cd5\uff0c\u901a\u8fc7\u540c\u65f6\u8bad\u7ec3\u5224\u522b\u5668\u548c\u89e3\u7801\u5668\u6765\u63d0\u9ad8\u6a21\u578b\u7684\u9c81\u68d2\u6027\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u5728\u9762\u5bf9\u51b2\u7a81\u4fe1\u606f\u65f6\u7684\u7a33\u5b9a\u6027\uff0c\u8fd8\u80fd\u589e\u5f3a\u5176\u5904\u7406\u590d\u6742\u4fe1\u606f\u7684\u80fd\u529b\u3002<\/p>\n<\/li>\n<li>\n<p><mark data-type=\"concepts\" data-id=\"bf740558-f0f7-41a8-87a0-e695a97563b3\">\u67e5\u8be2<\/mark>\u589e\u5f3a\uff08Query Augmentation\uff09\uff1a\u5728\u63a8\u7406\u9636\u6bb5\u901a\u8fc7\u8fdb\u4e00\u6b65\u5f15\u5165\u5916\u754c\u77e5\u8bc6\u6765\u63d0\u5347\u6a21\u578b\u7684\u9c81\u68d2\u6027\u3002Weller \u7b49\uff082022\uff09\u63d0\u51fa\u4e86\u4e00\u79cd<mark data-type=\"concepts\" data-id=\"bf740558-f0f7-41a8-87a0-e695a97563b3\">\u67e5\u8be2<\/mark>\u589e\u5f3a\u6280\u672f\uff0c\u63d0\u793a GPT-3 \u4ece\u539f\u59cb<mark data-type=\"concepts\" data-id=\"bf740558-f0f7-41a8-87a0-e695a97563b3\">\u67e5\u8be2<\/mark>\u4e2d\u63d0\u53d6\u65b0\u7684\u95ee\u9898\uff0c\u901a\u8fc7\u751f\u6210\u591a\u4e2a\u4e0e\u539f\u59cb\u95ee\u9898\u76f8\u5173\u7684<mark data-type=\"concepts\" data-id=\"bf740558-f0f7-41a8-87a0-e695a97563b3\">\u67e5\u8be2<\/mark>\uff0c\u6a21\u578b\u53ef\u4ee5\u4ece\u591a\u4e2a\u89d2\u5ea6\u9a8c\u8bc1\u7b54\u6848\u7684\u6b63\u786e\u6027\uff0c\u4ece\u800c\u51cf\u5c11\u7531\u4e8e\u5355\u4e00\u4fe1\u606f\u6e90\u5bfc\u81f4\u7684\u9519\u8bef\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u63d0\u9ad8\u4e86\u6a21\u578b\u5e94\u5bf9\u51b2\u7a81\u4fe1\u606f\u7684\u80fd\u529b\uff0c\u8fd8\u589e\u52a0\u4e86\u5176\u56de\u7b54\u7684\u51c6\u786e\u6027\u548c\u53ef\u9760\u6027\u3002<\/p>\n<\/li>\n<\/ul>\n<p>Inter-Context Conflict \u662f\u77e5\u8bc6\u51b2\u7a81\u4e2d\u7684\u91cd\u8981\u4e00\u73af\u3002\u5927\u6a21\u578b\u5982\u4f55\u5904\u7406\u76f8\u4e92\u51b2\u7a81\u7684\u4fe1\u606f\u662f\u4e00\u4e2a\u5173\u952e\u4efb\u52a1\u3002\u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u53ef\u4ee5\u4ece\u4e0d\u540c\u89d2\u5ea6\u63d0\u9ad8\u6a21\u578b\u5728\u5904\u7406 Inter-Context Conflict \u65f6\u7684\u51c6\u786e\u6027\u548c\u9c81\u68d2\u6027\u3002<\/p>\n<p><strong>\u63a2\u7d22 Intra-Memory Conflict\uff1a\u8d77\u56e0\u3001\u8868\u73b0\u4e0e\u89e3\u51b3\u65b9\u6848<\/strong><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-6ba4e5baaad558a43f01922d2c197c49.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-6ba4e5baaad558a43f01922d2c197c49.png\"><\/a><\/p>\n<p><strong>\u8d77\u56e0<\/strong><\/p>\n<p>Intra-Memory Conflict \u662f\u6307\u6a21\u578b\u5728\u9762\u5bf9\u8bed\u4e49\u76f8\u540c\u4f46\u53e5\u6cd5\u4e0d\u540c\u7684\u8f93\u5165\u65f6\uff0c\u8868\u73b0\u51fa\u4e0d\u4e00\u81f4\u7684\u884c\u4e3a\u3002\u8fd9\u79cd\u51b2\u7a81\u7684\u4e3b\u8981\u539f\u56e0\u53ef\u4ee5\u5206\u4e3a\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\uff1a<\/p>\n<p>1. \u8bad\u7ec3<mark data-type=\"concepts\" data-id=\"930c591c-a35b-4761-83ef-22ef12aa3c5f\">\u8bed\u6599\u5e93<\/mark>\u7684\u504f\u5dee\uff08Bias in Training Corpora\uff09<\/p>\n<p>LLMs \u7684\u4e3b\u8981\u77e5\u8bc6\u83b7\u53d6\u9636\u6bb5\u662f\u5728\u9884\u8bad\u7ec3\u671f\u95f4\u5b8c\u6210\u7684\uff0c\u800c\u8fd9\u4e9b\u9884\u8bad\u7ec3\u6570\u636e\u901a\u5e38\u662f\u4ece\u4e92\u8054\u7f51\u4e0a\u6293\u53d6\u7684\u3002\u8fd9\u4e9b\u6570\u636e\u6765\u6e90\u5e7f\u6cdb\uff0c\u5305\u62ec\u793e\u4ea4\u5a92\u4f53\u3001\u65b0\u95fb\u6587\u7ae0\u3001\u767e\u79d1\u5168\u4e66\u7b49\uff0c\u5176\u8d28\u91cf\u53c2\u5dee\u4e0d\u9f50\uff0c\u53ef\u80fd\u5305\u542b\u4e0d\u51c6\u786e\u6216\u8bef\u5bfc\u6027\u7684\u4fe1\u606f\u3002\u8fd9\u4e9b\u9519\u8bef\u4fe1\u606f\u4f1a\u88ab\u6a21\u578b\u8bb0\u4f4f\u5e76\u5728\u63a8\u7406\u65f6\u653e\u5927\uff0c\u5bfc\u81f4\u6a21\u578b\u5185\u7684\u77e5\u8bc6\u51fa\u73b0\u51b2\u7a81\uff0c\u8fd9\u4f1a\u5bfc\u81f4\u6a21\u578b\u5728\u56de\u7b54\u76f8\u5173\u95ee\u9898\u65f6\u51fa\u73b0\u591a\u79cd\u76f8\u4e92\u77db\u76fe\u7684\u7b54\u6848\u3002\u540c\u65f6\uff0c\u5927\u6a21\u578b\u5b58\u5728\u5bf9\u8bad\u7ec3\u6570\u636e\u7684\u8868\u9762\u5173\u8054\u8fdb\u884c\u7f16\u7801\u7684\u60c5\u51b5\uff0c\u8fd9\u4f1a\u5bfc\u81f4\u6a21\u578b\u4f9d\u636e\u8868\u9762\u7684\u865a\u5047\u76f8\u5173\u6027\u8fdb\u884c\u5224\u65ad\u3002\u7531\u4e8e\u5bf9\u865a\u5047\u76f8\u5173\u6027\u7684\u4f9d\u8d56\uff0c\u5f53\u9047\u5230\u53e5\u6cd5\u7ed3\u6784\u4e0d\u540c\u4f46\u8bed\u4e49\u76f8\u540c\u7684\u63d0\u793a\u65f6\uff0c\u6a21\u578b\u53ef\u80fd\u4f1a\u7ed9\u51fa\u4e0d\u540c\u7684\u7b54\u6848\u3002<\/p>\n<p>2. \u89e3\u7801\u7b56\u7565\uff08Decoding Strategy\uff09<\/p>\n<p>\u5927\u6a21\u578b\u7684\u8f93\u51fa\u662f\u901a\u8fc7\u5bf9\u53ef\u80fd\u7684\u4e0b\u4e00\u4e2a\u8bcd\u8fdb\u884c<mark data-type=\"concepts\" data-id=\"390f4777-ec4d-4d4e-890b-fcb64dcb764c\">\u6982\u7387\u5206\u5e03<\/mark>\u91c7\u6837\u800c\u5f97\u51fa\u7684\u3002\u4e0d\u540c\u7684\u91c7\u6837\u65b9\u6cd5\uff08\u5982\u8d2a\u5fc3\u91c7\u6837\u3001top-p \u91c7\u6837\u3001top-k \u91c7\u6837\u7b49\uff09\u4f1a\u5bfc\u81f4\u751f\u6210\u5185\u5bb9\u7684\u968f\u673a\u6027\u3002\u4f8b\u5982\uff0c\u5728\u4f7f\u7528 top-k \u91c7\u6837\u65f6\uff0c\u6a21\u578b\u4f1a\u4ece\u6982\u7387\u6700\u9ad8\u7684 k \u4e2a\u5019\u9009\u8bcd\u4e2d\u968f\u673a\u9009\u62e9\u4e0b\u4e00\u4e2a\u8bcd\uff0c\u8fd9\u79cd\u968f\u673a\u6027\u589e\u52a0\u4e86\u8f93\u51fa\u7684\u4e0d\u786e\u5b9a\u6027\uff0c\u4f7f\u5f97\u76f8\u540c\u7684\u8f93\u5165\u5728\u4e0d\u540c\u6b21\u63a8\u7406\u4e2d\u53ef\u80fd\u5f97\u5230\u4e0d\u540c\u7684\u7ed3\u679c\u3002<\/p>\n<p>3. \u77e5\u8bc6\u7f16\u8f91\uff08Knowledge Editing\uff09<\/p>\n<p>\u4e3a\u4e86\u9ad8\u6548\u5730\u4fee\u6539\u5927\u6a21\u578b\u4e2d\u7684\u77e5\u8bc6\uff0c\u7814\u7a76\u4eba\u5458\u63d0\u51fa\u4e86\u77e5\u8bc6\u7f16\u8f91\u6280\u672f\u3002\u8fd9\u4e9b\u6280\u672f\u65e8\u5728\u9ad8\u6548\u5730\u4fee\u6539\u6a21\u578b\u4e2d\u5c0f\u8303\u56f4\u7684\u77e5\u8bc6\uff0c\u800c\u4e0d\u9700\u8981\u91cd\u65b0\u8bad\u7ec3\u6574\u4e2a\u6a21\u578b\u3002\u7136\u800c\uff0c\u8fd9\u4e9b\u7f16\u8f91\u65b9\u6cd5\u53ef\u80fd\u5bfc\u81f4\u77e5\u8bc6\u7684\u4e00\u81f4\u6027\u96be\u4ee5\u4fdd\u8bc1\u3002\u4f8b\u5982\uff0c\u901a\u8fc7\u77e5\u8bc6\u7f16\u8f91\u4fee\u6539\u67d0\u4e00\u4e8b\u5b9e\uff08\u5982\u67d0\u4e00\u79d1\u5b66\u53d1\u73b0\u7684\u5177\u4f53\u7ec6\u8282\uff09\uff0c\u4f46\u672a\u80fd\u540c\u6b65\u66f4\u65b0\u4e0e\u4e4b\u76f8\u5173\u7684\u6240\u6709\u77e5\u8bc6\uff0c\u53ef\u80fd\u5bfc\u81f4\u6a21\u578b\u5728\u9762\u5bf9\u4e0d\u540c\u95ee\u9898\u65f6\u4ea7\u751f\u4e0d\u4e00\u81f4\u7684\u54cd\u5e94\u3002\u540c\u65f6\uff0c\u4fee\u6539\u540e\u7684\u77e5\u8bc6\u53ef\u80fd\u65e0\u6cd5\u6709\u6548\u5730\u5728\u4e0d\u540c\u60c5\u5883\u4e0b\u5e94\u7528\uff0c\u4ece\u800c\u5bfc\u81f4\u6a21\u578b\u5728\u5904\u7406\u540c\u4e00\u77e5\u8bc6\u7684\u4e0d\u540c\u8868\u8fbe\u65f6\u4ea7\u751f\u4e0d\u4e00\u81f4\u7684\u56de\u7b54\u3002<\/p>\n<p><strong>\u8868\u73b0<\/strong><\/p>\n<p>Intra-Memory Conflict \u4f1a\u5bf9\u5927\u6a21\u578b\u7684\u8868\u73b0\u4ea7\u751f\u663e\u8457\u5f71\u54cd\uff0c\u4e3b\u8981\u4f53\u73b0\u5728\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\uff1a<\/p>\n<p>1. \u81ea\u6211\u4e0d\u4e00\u81f4\u6027\uff08Self-Inconsistency\uff09<\/p>\n<p>\u81ea\u6211\u4e0d\u4e00\u81f4\u6027\u662f\u6307\u6a21\u578b\u5728\u9762\u5bf9<mark data-type=\"tech_tasks\" data-id=\"c5f31aa8-6f98-4fe6-99f0-c21e2fb46a69\">\u8bed\u4e49\u7b49\u4ef7<\/mark>\u4f46\u53e5\u6cd5\u4e0d\u540c\u7684\u95ee\u9898\u65f6\uff0c\u751f\u6210\u7684\u56de\u7b54\u4e0d\u4e00\u81f4\u3002\u4f8b\u5982\uff0c\u7814\u7a76\u8868\u660e\uff0c\u5373\u4fbf\u662f GPT-4 \u8fd9\u6837\u7684\u5148\u8fdb\u6a21\u578b\uff0c\u5728\u5904\u7406\u5e38\u8bc6\u6027\u95ee\u9898\u65f6\uff0c\u4ecd\u7136\u6709 13% \u7684\u56de\u7b54\u5b58\u5728\u4e0d\u4e00\u81f4\u6027\u3002\u8fd9\u610f\u5473\u7740\u7528\u6237\u63d0\u51fa\u540c\u6837\u7684\u95ee\u9898\uff0c\u4f46\u6362\u79cd\u8bf4\u6cd5\u65f6\uff0c\u53ef\u80fd\u4f1a\u5f97\u5230\u4e0d\u540c\u7684\u56de\u7b54\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u6a21\u578b\u5728\u56de\u5fc6\u77e5\u8bc6\u65f6\uff0c\u53ef\u80fd\u66f4\u591a\u4f9d\u8d56\u4e8e\u8bad\u7ec3\u6570\u636e\u4e2d\u8bcd\u8bed\u7684\u8868\u9762\u5173\u8054\uff0c\u800c\u4e0d\u662f\u5bf9\u77e5\u8bc6\u7684\u771f\u6b63\u7406\u89e3\u3002\u4f8b\u5982\uff0c\u4e00\u4e2a\u6a21\u578b\u53ef\u80fd\u4f1a\u9519\u8bef\u5730\u5173\u8054\u67d0\u4e9b\u9ad8\u9891\u5171\u73b0\u7684\u8bcd\u8bed\uff0c\u5bfc\u81f4\u751f\u6210\u7684\u56de\u7b54\u504f\u79bb\u9884\u671f\u3002\u8fd9\u79cd\u9519\u8bef\u5173\u8054\u8fdb\u4e00\u6b65\u52a0\u5267\u4e86\u6a21\u578b\u56de\u7b54\u7684\u81ea\u6211\u4e0d\u4e00\u81f4\u6027\u3002<\/p>\n<p>2. \u77e5\u8bc6\u7684\u6f5c\u5728\u8868\u793a\uff08Latent Representation of Knowledge\uff09<\/p>\n<p>\u5927\u6a21\u578b\u5185\u90e8\u7684\u591a\u5c42 Transformer \u67b6\u6784\u5bfc\u81f4\u4e0d\u540c\u5c42\u6b21\u5b58\u50a8\u7740\u4e0d\u540c\u7684\u77e5\u8bc6\u8868\u793a\u3002\u8fd9\u79cd\u5206\u6563\u7684\u77e5\u8bc6\u8868\u793a\u4f1a\u5bfc\u81f4\u6a21\u578b\u5728\u751f\u6210\u8fc7\u7a0b\u4e2d\u65e0\u6cd5\u51c6\u786e\u8868\u8fbe\u5df2\u7ecf\u5b58\u50a8\u7684\u77e5\u8bc6\u3002\u4f8b\u5982\uff0c\u6d45\u5c42\u6b21\u53ef\u80fd\u5b58\u50a8\u7684\u662f\u4f4e\u7ea7\u4fe1\u606f\uff0c\u800c\u6df1\u5c42\u6b21\u5b58\u50a8\u7684\u662f\u8bed\u4e49\u4fe1\u606f\u3002\u8fd9\u79cd\u591a\u5c42\u8868\u793a\u7684\u5206\u6563\u5bfc\u81f4\u6a21\u578b\u5728\u9762\u5bf9\u4e0d\u540c\u95ee\u9898\u65f6\uff0c\u53ef\u80fd\u65e0\u6cd5\u534f\u8c03\u4e0d\u540c\u5c42\u6b21\u7684\u77e5\u8bc6\uff0c\u8fdb\u800c\u4ea7\u751f\u4e0d\u4e00\u81f4\u7684\u56de\u7b54\u3002<\/p>\n<p>3. \u8de8\u8bed\u8a00\u4e0d\u4e00\u81f4\u6027\uff08Cross-lingual Inconsistency\uff09<\/p>\n<p>\u7531\u4e8e\u5927\u6a21\u578b\u5728\u4e0d\u540c\u8bed\u8a00\u4e2d\u7ef4\u62a4\u7740\u4e0d\u540c\u7684\u77e5\u8bc6\u96c6\u5408\uff0c\u8fd9\u5bfc\u81f4\u4e86\u8de8\u8bed\u8a00\u7684\u4e00\u81f4\u6027\u95ee\u9898\u3002\u4f8b\u5982\uff0c\u540c\u4e00\u4e2a\u4e8b\u5b9e\u5728\u4e0d\u540c\u8bed\u8a00\u4e2d\u53ef\u80fd\u4f1a\u5f97\u5230\u4e0d\u540c\u7684\u56de\u7b54\uff0c\u8fd9\u79cd\u73b0\u8c61\u5728\u8de8\u8bed\u8a00\u77e5\u8bc6\u95ee\u7b54\u4e2d\u5c24\u4e3a\u660e\u663e\u3002\u4f8b\u5982\uff0c\u4e00\u4e2a\u5728\u82f1\u8bed\u4e2d\u8bad\u7ec3\u7684\u6a21\u578b\u53ef\u80fd\u4f1a\u5bf9\u67d0\u4e2a\u4e8b\u5b9e\u6709\u51c6\u786e\u7684\u56de\u7b54\uff0c\u4f46\u5728\u897f\u73ed\u7259\u8bed\u4e2d\u5374\u7ed9\u51fa\u4e0d\u540c\u7684\u7b54\u6848\u3002<\/p>\n<p><strong>\u89e3\u51b3\u65b9\u6848<\/strong><\/p>\n<p>\u9488\u5bf9\u5185\u90e8\u8bb0\u5fc6\u51b2\u7a81\uff0c\u7814\u7a76\u4eba\u5458\u63d0\u51fa\u4e86\u591a\u79cd\u89e3\u51b3\u65b9\u6848\uff0c\u4e3b\u8981\u53ef\u4ee5\u5206\u4e3a\u4ee5\u4e0b\u51e0\u7c7b\uff1a<\/p>\n<p>1. \u63d0\u5347\u4e00\u81f4\u6027\uff08Improving Consistency\uff09<\/p>\n<ul>\n<li>\n<p>\u5fae\u8c03\uff08Fine-tuning\uff09\uff1a\u901a\u8fc7\u5f15\u5165\u4e00\u81f4\u6027<mark data-type=\"concepts\" data-id=\"4c38563a-2d9b-439e-bfb4-21d209eeff3e\">\u635f\u5931\u51fd\u6570<\/mark>\uff0c\u5e76\u7ed3\u5408\u6807\u51c6\u7684<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\u8bad\u7ec3\u635f\u5931\uff0c\u8fdb\u884c\u5fae\u8c03\uff0c\u63d0\u5347\u6a21\u578b\u7684\u77e5\u8bc6\u4e00\u81f4\u6027\u3002\u4f8b\u5982\uff0cLi \u7b49\u4eba\uff082023\uff09\u5219\u5229\u7528\u6a21\u578b\u751f\u6210\u7684\u56de\u7b54\u5bf9\u5176\u8fdb\u884c\u9a8c\u8bc1\uff0c\u7b5b\u9009\u51fa\u4e00\u81f4\u6027\u8f83\u9ad8\u7684\u56de\u7b54\u5bf9\u8fdb\u884c\u5fae\u8c03\uff0c\u8fdb\u4e00\u6b65\u63d0\u5347\u751f\u6210\u7684\u7b54\u6848\u7684\u4e00\u81f4\u6027\u3002<\/p>\n<\/li>\n<li>\n<p>\u63d2\u4ef6\uff08Plug-in\uff09\uff1a\u901a\u8fc7\u6a21\u5757\u63d2\u5165\u7684\u6574\u5408\u65b9\u6cd5\u63d0\u9ad8\u6a21\u578b\u7684\u4e00\u81f4\u6027\u3002\u4f8b\u5982\uff0cJang \u548c Lukasiewicz\uff082023\uff09\u63d0\u51fa\u901a\u8fc7\u5229\u7528\u5b57\u5178\u4e2d\u7684\u8bcd\u4e49\u5bf9\u6a21\u578b\u8fdb\u884c\u8bad\u7ec3\uff0c\u589e\u5f3a\u5176\u5bf9\u7b26\u53f7\u610f\u4e49\u7684\u7406\u89e3\u3002\u7136\u540e\u5c06\u8fd9\u4e9b\u589e\u5f3a\u7684<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u4e0e\u73b0\u6709<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\u7684<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u5408\u5e76\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u4e00\u81f4\u6027\u3002<\/p>\n<\/li>\n<li>\n<p>\u8f93\u51fa\u96c6\u6210\uff08Output Ensemble\uff09\uff1a\u901a\u8fc7\u5bf9\u591a\u6b21\u8f93\u51fa\u8fdb\u884c\u7efc\u5408\uff0c\u4ece\u800c\u83b7\u5f97\u4e00\u4e2a\u6700\u6b63\u786e\u7684\u7b54\u6848\u3002Mitchell \u7b49\u4eba\uff082022\uff09\u63d0\u51fa\u4e86\u8fd9\u79cd\u53cc\u6a21\u578b\u67b6\u6784\uff0c\u901a\u8fc7\u8bc4\u4f30\u7b54\u6848\u95f4\u7684<mark data-type=\"concepts\" data-id=\"95a97f4b-79d2-4bbc-91ae-300f074dff9f\">\u903b\u8f91<\/mark>\u4e00\u81f4\u6027\u6765\u9009\u62e9\u6700\u53ef\u4fe1\u7684\u6700\u7ec8\u7b54\u6848\uff0c\u51cf\u5c11\u6a21\u578b\u751f\u6210\u7684\u4e0d\u4e00\u81f4\u6027\u3002<\/p>\n<\/li>\n<\/ul>\n<p>2. \u63d0\u5347\u4e8b\u5b9e\u51c6\u786e\u6027\uff08Improving Factuality\uff09<\/p>\n<p>\u63d0\u5347\u6a21\u578b\u54cd\u5e94\u7684\u771f\u5b9e\u6027\uff0c\u4ece\u800c\u51cf\u5c11\u6a21\u578b\u81ea\u8eab\u4e0d\u4e00\u81f4\u7684\u53d1\u751f\u3002\u4f8b\u5982\uff0cLi \u7b49\u4eba\uff082023\uff09\u63d0\u51fa\u4e86\u4e00\u79cd\u77e5\u8bc6\u63a2\u6d4b\u65b9\u6cd5\uff0c\u901a\u8fc7\u8bc6\u522b\u6a21\u578b<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u4e2d\u5305\u542b\u7684\u771f\u5b9e\u77e5\u8bc6\uff0c\u5e76\u5728\u63a8\u7406\u9636\u6bb5\u6cbf\u7740\u8fd9\u4e9b\u771f\u5b9e\u77e5\u8bc6\u76f8\u5173\u7684\u65b9\u5411\u8c03\u6574\u6fc0\u6d3b\uff0c\u4ece\u800c\u51cf\u5c11\u751f\u6210\u8fc7\u7a0b\u4e2d\u7684\u4e8b\u5b9e\u9519\u8bef\u3002<\/p>\n<p>\u5185\u90e8\u8bb0\u5fc6\u51b2\u7a81\u662f LLMs \u7814\u7a76\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u6311\u6218\uff0c\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\u9700\u8981\u4ece\u8bad\u7ec3\u3001\u751f\u6210\u548c\u540e\u5904\u7406\u7b49\u591a\u4e2a\u9636\u6bb5\u5165\u624b\u3002\u867d\u7136\u76ee\u524d\u7684\u89e3\u51b3\u65b9\u6848\u5df2\u7ecf\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u7f13\u89e3\u4e86\u8fd9\u4e00\u95ee\u9898\uff0c\u4f46\u4ecd\u6709\u8bb8\u591a\u6311\u6218\u9700\u8981\u514b\u670d\u3002<\/p>\n<p><strong>\u8ba8\u8bba 1\uff1a\u6a21\u578b\u5e94\u5f53\u5982\u4f55\u54cd\u5e94\u51b2\u7a81\uff1f<\/strong><\/p>\n<p>\u7406\u60f3\u60c5\u51b5\u4e0b\uff0c\u6a21\u578b\u5728\u9047\u5230\u77e5\u8bc6\u51b2\u7a81\u65f6\u5e94\u80fd\u591f\u8bc6\u522b\u51b2\u7a81\u5e76\u63d0\u4f9b\u660e\u786e\u7684\u7b54\u6848\u3002\u7136\u800c\uff0c\u7814\u7a76\u53d1\u73b0\u73b0\u6709\u6a21\u578b\u5728\u8bc6\u522b\u51b2\u7a81\u5b58\u5728\u65b9\u9762\u8868\u73b0\u8f83\u597d\uff0c\u4f46\u5728\u786e\u5b9a\u5177\u4f53\u51b2\u7a81\u6bb5\u843d\u5e76\u751f\u6210\u6709\u533a\u5206\u7684\u7b54\u6848\u65b9\u9762\u4ecd\u5b58\u5728\u6311\u6218\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u6709\u4e9b\u7814\u7a76\u8005\u8ba4\u4e3a\u6211\u4eec\u4e0d\u5e94\u8be5\u5c06 \u201c\u5904\u7406\u51b2\u7a81\u201d \u7684\u4efb\u52a1\u5b8c\u5168\u4e22\u7ed9\u5927\u6a21\u578b\u4ee3\u8868\u7684 AI\uff0c\u800c\u662f\u5e94\u8be5\u5c06\u8fd9\u4e2a\u6743\u529b\u638c\u63e1\u5728\u4eba\u7c7b\u624b\u4e2d\u3002<\/p>\n<p><strong>\u8ba8\u8bba 2<\/strong><strong>\uff1a\u5f53\u524d\u6311\u6218\u548c\u540e\u7eed\u7814\u7a76\u65b9\u5411<\/strong><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-eb0c24327d508d3885f5c9db5c59d15f.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-eb0c24327d508d3885f5c9db5c59d15f.png\"><\/a><\/p>\n<p>1. \u5b9e\u9645\u73af\u5883\u4e2d\u7684\u77e5\u8bc6\u51b2\u7a81\uff1a<\/p>\n<p>\u7814\u7a76\u5e94\u5173\u6ce8\u77e5\u8bc6\u51b2\u7a81\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\u81ea\u7136\u53d1\u751f\u7684\u60c5\u51b5\uff0c\u5982\u5728\u4ece\u7f51\u7edc\u76f4\u63a5\u68c0\u7d22\u6587\u6863\u7684\u68c0\u7d22\u589e\u5f3a<mark data-type=\"tech_tasks\" 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