{"id":1156649,"date":"2025-11-25T02:07:08","date_gmt":"2025-11-25T10:07:08","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&#038;p=1156649"},"modified":"2025-11-25T02:08:05","modified_gmt":"2025-11-25T10:08:05","slug":"new-arrival-in-research-33","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/new-arrival-in-research-33\/","title":{"rendered":"NeurIPS\u4e0a\u65b0 | \u5927\u6a21\u578b\u80fd\u529b\u4e0e\u5bf9\u9f50\uff1a\u8fc8\u5411\u5b89\u5168\u53ef\u9760\u7684\u901a\u7528\u667a\u80fd"},"content":{"rendered":"\n<p>\u7f16\u8005\u6309\uff1a\u6b22\u8fce\u9605\u8bfb\u201c\u79d1\u7814\u4e0a\u65b0\u201d\u680f\u76ee\uff01\u201c\u79d1\u7814\u4e0a\u65b0\u201d\u6c47\u805a\u4e86\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u6700\u65b0\u7684\u521b\u65b0\u6210\u679c\u4e0e\u79d1\u7814\u52a8\u6001\u3002\u5728\u8fd9\u91cc\uff0c\u4f60\u53ef\u4ee5\u5feb\u901f\u6d4f\u89c8\u7814\u7a76\u9662\u7684\u4eae\u70b9\u8d44\u8baf\uff0c\u4fdd\u6301\u5bf9\u524d\u6cbf\u9886\u57df\u7684\u654f\u9510\u55c5\u89c9\u3002<\/p>\n\n\n\n<p>\u5168\u7403\u9876\u7ea7\u4eba\u5de5\u667a\u80fd\u76db\u4f1a NeurIPS 2025 \u5373\u5c06\u62c9\u5f00\u5e37\u5e55\u3002\u5728\u672c\u5c4a\u5927\u4f1a\u4e0a\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u5171\u670930\u591a\u7bc7\u8bba\u6587\u88ab\u63a5\u6536\u3002\u8fd9\u4e9b\u7814\u7a76\u6d89\u53ca\u4ece\u5927\u6a21\u578b\u57fa\u7840\u7406\u8bba\u5230\u524d\u6cbf\u5e94\u7528\u7684\u5404\u4e2a\u65b9\u9762\u3002<\/p>\n\n\n\n<p>\u6211\u4eec\u5c06\u901a\u8fc7\u56db\u671f\u201cNeurIPS\u4e0a\u65b0\u201d\uff0c\u6df1\u5165\u89e3\u8bfb\u5165\u9009\u7684\u7814\u7a76\u5de5\u4f5c\uff0c\u6db5\u76d6<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/articles\/new-arrival-in-research-32\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u5927\u6a21\u578b\u67b6\u6784\u4e0e\u52a0\u901f<\/a>\u3001\u5927\u6a21\u578b\u80fd\u529b\u4e0e\u5bf9\u9f50\u3001\u751f\u6210\u5f0f AI \u4e0e\u5177\u8eab\u667a\u80fd\u3001AI \u521b\u65b0\u5e94\u7528\u7b49\u3002<\/p>\n\n\n\n<p>\u7b2c\u4e8c\u671f\uff0c\u6211\u4eec\u5c06\u805a\u7126\u4e8e\u5927\u6a21\u578b\u7684\u201c\u5927\u8111\u201d\u4e0e\u201c\u4ef7\u503c\u89c2\u201d\uff0c\u63a2\u8ba8\u5982\u4f55\u5c06 LLMs \u7684\u667a\u80fd\u63a8\u5411\u65b0\u7684\u9ad8\u5ea6\uff0c\u5e76\u786e\u4fdd\u5176\u5b89\u5168\u3001\u53ef\u63a7\u3002 \u968f\u7740\u6a21\u578b\u89c4\u6a21\u7684\u4e0d\u65ad\u6269\u5927\uff0cLLMs \u5c55\u73b0\u51fa\u60ca\u4eba\u7684\u63a8\u7406\u548c\u6d8c\u73b0\u80fd\u529b\uff0c\u4f46\u5982\u4f55\u5c06\u8fd9\u79cd\u80fd\u529b\u8f6c\u5316\u4e3a\u7a33\u5b9a\u3001\u53ef\u9760\u3001\u4e14\u7b26\u5408\u4eba\u7c7b\u591a\u7ef4\u5ea6\u4ef7\u503c\u89c2\u7684\u901a\u7528\u667a\u80fd\uff0c\u6210\u4e3a\u5f53\u524d\u6700\u5927\u7684\u6311\u6218\u3002\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u4e13\u6ce8\u4e8e\u89e3\u51b3 LLMs \u7684\u9ad8\u7ea7\u8ba4\u77e5\u80fd\u529b\u3001\u590d\u6742\u63a8\u7406\u673a\u5236\uff0c\u4ee5\u53ca\u786e\u4fdd\u6a21\u578b\u5728\u9762\u5bf9\u6b67\u4e49\u548c\u566a\u58f0\u6570\u636e\u65f6\u7684\u4ef7\u503c\u5bf9\u9f50\u95ee\u9898\u3002\u8fd9\u4e9b\u7814\u7a76\u7a81\u7834\u4e0d\u4ec5\u5c06 LLMs \u7684\u667a\u80fd\u8fb9\u754c\u62d3\u5c55\u5230\u66f4\u590d\u6742\u7684\u4ee3\u7406\uff08agent\uff09\u4efb\u52a1\u548c\u591a\u6a21\u6001\u573a\u666f\uff0c\u66f4\u81f4\u529b\u4e8e\u6784\u5efa\u4e00\u4e2a\u5b89\u5168\u3001\u53ef\u4fe1\u8d56\u7684 AI \u751f\u6001\uff0c\u4e3a LLMs \u7684\u5927\u89c4\u6a21\u5b9e\u9645\u5e94\u7528\u5960\u5b9a\u575a\u5b9e\u7684\u4fe1\u4efb\u57fa\u7840\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>\u672c\u671f\u5185\u5bb9\u901f\u89c8<\/strong><\/p>\n\n\n\n<p>01. \u5927\u6a21\u578b\u7684\u6a21\u578b\u94fe\u5b66\u4e60<\/p>\n\n\n\n<p>02. \u68c0\u7d22\u94fe\u589e\u5f3a\u751f\u6210<\/p>\n\n\n\n<p>03. \u57fa\u4e8e\u53cd\u4e8b\u5b9e\u63a8\u7406\u7684\u53ef\u63a7\u591a\u5143\u5316\u4ef7\u503c\u5bf9\u9f50<\/p>\n\n\n\n<p>04. NaDRO\uff1a\u5229\u7528\u53cc\u91cd\u5956\u52b1\u7b56\u7565\u8bad\u7ec3\u542b\u566a\u6570\u636e\u4e0b\u7684 LLMs<\/p>\n\n\n\n<p>05. LLMs \u4e2d\u7684\u4e2a\u6027\u5316\u5b89\u5168\uff1a\u57fa\u51c6\u4e0e\u57fa\u4e8e\u89c4\u5212\u7684\u667a\u80fd\u4f53\u65b9\u6cd5<\/p>\n\n\n\n<p>06. \u5956\u52b1\u63a8\u7406\u6a21\u578b<\/p>\n\n\n\n<p>07. \u57fa\u4e8e\u5927\u578b\u6df7\u5408\u63a8\u7406\u6a21\u578b\u7684\u6309\u9700\u601d\u7ef4\u673a\u5236<\/p>\n\n\n\n<p>08. \u8fc8\u5411\u601d\u7ef4\u6700\u4f18\u6269\u5c55\uff1a\u4f18\u5316 LLMs \u63a8\u7406\u7684\u6d4b\u8bd5\u65f6\u8ba1\u7b97\u8d44\u6e90<\/p>\n\n\n\n<p>09. \u63ed\u793a\u8bed\u8a00\u6a21\u578b\u7684\u5b66\u4e60\u5fc3\u667a\uff1a\u4ece\u8ba4\u77e5\u6846\u67b6\u5230\u5b9e\u8bc1\u7814\u7a76<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"01-\u5927\u6a21\u578b\u7684\u6a21\u578b\u94fe\u5b66\u4e60\">01. \u5927\u6a21\u578b\u7684\u6a21\u578b\u94fe\u5b66\u4e60<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"867\" height=\"338\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-1.png\" alt=\"paper screenshot\" class=\"wp-image-1156654\" style=\"width:640px;height:auto\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-1.png 867w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-1-300x117.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-1-768x299.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-1-240x94.png 240w\" sizes=\"auto, (max-width: 867px) 100vw, 867px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/arxiv.org\/abs\/2505.11820\">https:\/\/arxiv.org\/abs\/2505.11820<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u968f\u7740 LLMs \u5728\u590d\u6742\u4efb\u52a1\u4e2d\u7684\u5e94\u7528\u8d8a\u6765\u8d8a\u6df1\u5165\uff0c\u6211\u4eec\u4e0d\u4ec5\u9762\u4e34\u6a21\u578b\u80fd\u529b\u7684\u74f6\u9888\uff0c\u4e5f\u9762\u4e34\u7740\u8bad\u7ec3\u6210\u672c\u9ad8\u3001\u6269\u5c55\u4e0d\u7075\u6d3b\u3001\u63a8\u7406\u8d44\u6e90\u9700\u6c42\u5927\u7b49\u5b9e\u9645\u9650\u5236\u3002\u4f20\u7edf\u7684 LLMs \u5f80\u5f80\u662f\u201c\u56fa\u5b9a\u89c4\u6a21\u201d\u7684\uff1a\u4e00\u65e6\u6a21\u578b\u53c2\u6570\u89c4\u6a21\u786e\u5b9a\uff0c\u8bad\u7ec3\u548c\u63a8\u7406\u90fd\u5fc5\u987b\u5728\u8fd9\u4e2a\u56fa\u5b9a\u5bb9\u91cf\u4e0a\u8fd0\u884c\uff0c\u7f3a\u4e4f\u6839\u636e\u4efb\u52a1\u590d\u6742\u5ea6\u6216\u8ba1\u7b97\u8d44\u6e90\u7075\u6d3b\u8c03\u6574\u7684\u80fd\u529b\u3002\u5982\u4f55\u6784\u5efa\u4e00\u79cd\u80fd\u591f\u5728\u4e0d\u540c\u89c4\u6a21\u4e4b\u95f4\u5e73\u6ed1\u5207\u6362\u5e76\u80fd\u4ee5\u66f4\u4f4e\u6210\u672c\u6269\u5c55\u80fd\u529b\u7684\u6a21\u578b\u67b6\u6784\uff0c\u662f\u4e0b\u4e00\u4ee3 LLMs \u8bbe\u8ba1\u7684\u5173\u952e\u6311\u6218\u3002<\/p>\n\n\n\n<p>\u8be5\u7814\u7a76\u63d0\u51fa\u4e86 Chain-of-Language-Model\uff08CoLM\uff09 \u6846\u67b6\u3002\u4e0e\u4f20\u7edf Transformer \u4e0d\u540c\uff0cCoLM \u5e76\u4e0d\u662f\u7b80\u5355\u5730\u53e0\u52a0\u66f4\u591a\u5c42\u6216\u66f4\u5bbd\u7684\u9690\u85cf\u7ef4\u5ea6\uff0c\u800c\u662f\u57fa\u4e8e Chain-of-Representation\uff08CoR\uff09 \u7684\u601d\u60f3\uff0c\u5c06\u6bcf\u5c42\u7684\u9690\u85cf\u8868\u793a\u62c6\u5206\u4e3a\u591a\u4e2a\u5177\u6709\u56e0\u679c\u987a\u5e8f\u7684\u201c\u94fe\u5f0f\u5b50\u8868\u793a\uff08chains\uff09\u201d\u3002\u6bcf\u6761 chain \u53ea\u80fd\u4f9d\u8d56\u4e8e\u524d\u5e8f chains\uff0c\u4ece\u800c\u5f62\u6210\u4e00\u79cd\u201c\u4ece\u57fa\u7840\u80fd\u529b\u5230\u9ad8\u7ea7\u80fd\u529b\u9010\u7ea7\u6784\u5efa\u201d\u7684\u7ed3\u6784\u3002\u57fa\u4e8e\u6b64\uff0c\u6a21\u578b\u53ef\u4ee5\u5728\u8bad\u7ec3\u548c\u63a8\u7406\u4e2d\u7075\u6d3b\u542f\u7528\u4e0d\u540c\u6570\u91cf\u7684 chains\uff0c\u542f\u7528\u66f4\u591a chains \u80fd\u63d0\u5347\u80fd\u529b\uff0c\u542f\u7528\u8f83\u5c11 chains \u5219\u53ef\u5f97\u5230\u66f4\u8f7b\u91cf\u7684\u5b50\u6a21\u578b\u3002\u6b64\u5916\uff0c\u8bba\u6587\u63d0\u51fa\u7684 CoLM-Air \u53d8\u4f53\u901a\u8fc7\u5171\u4eab KV \u8868\u793a\uff0c\u4ec5\u5728\u7b2c\u4e00\u6761 chain \u4e2d\u8ba1\u7b97 key\/value\uff0c\u518d\u5c06\u5176\u5171\u4eab\u7ed9\u6240\u6709 chain\uff0c\u5927\u5e45\u964d\u4f4e\u4e86\u63a8\u7406\u5f00\u9500\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"672\" height=\"796\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-2.png\" alt=\"diagram\" class=\"wp-image-1156655\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-2.png 672w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-2-253x300.png 253w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-2-152x180.png 152w\" sizes=\"auto, (max-width: 672px) 100vw, 672px\" \/><figcaption class=\"wp-element-caption\">\u56fe1\uff1aCoLM \u6846\u67b6\u56fe<\/figcaption><\/figure>\n\n\n\n<p>\u4f9d\u6258\u8fd9\u79cd\u94fe\u5f0f\u7ed3\u6784\uff0cCoLM \u5728\u6a21\u578b\u4f38\u7f29\u6027\u548c\u6548\u7387\u65b9\u9762\u8868\u73b0\u7a81\u51fa\u3002\u5b83\u652f\u6301\u6e10\u8fdb\u5f0f\u6269\u5c55\uff08progressive scaling\uff09\u53ef\u4ee5\u5148\u8bad\u7ec3\u4e00\u4e2a\u8f83\u5c0f\u89c4\u6a21\u7684\u6a21\u578b\uff0c\u518d\u901a\u8fc7\u589e\u52a0\u65b0\u7684 chains \u65e0\u7f1d\u6269\u5c55\u80fd\u529b\uff1b\u4e5f\u652f\u6301\u5f39\u6027\u63a8\u7406\uff08elastic inference\uff09\u3002\u8fd9\u5728\u63a8\u7406\u9636\u6bb5\u53ef\u4ee5\u6839\u636e\u8d44\u6e90\u9884\u7b97\u9009\u62e9\u4e0d\u540c\u7684 chain \u6570\u91cf\uff0c\u4ece\u800c\u83b7\u5f97\u4e0d\u540c\u89c4\u6a21\u7684\u6a21\u578b\u53d8\u4f53\u3002\u5728\u590d\u6742\u4efb\u52a1\u573a\u666f\u4e2d\uff0c\u8fd9\u79cd\u80fd\u529b\u5e26\u6765\u4e86\u66f4\u9ad8\u7684\u7075\u6d3b\u6027\u4e0e\u9c81\u68d2\u6027\uff0c\u540c\u65f6\u8ba9\u7cfb\u7edf\u7ed3\u6784\u66f4\u900f\u660e\u3001\u66f4\u6613\u5206\u6790\u3002CoLM \u4e3a\u6784\u5efa\u53ef\u6269\u5c55\u3001\u53ef\u8c03\u8282\u3001\u4e14\u6210\u672c\u53cb\u597d\u7684\u4e0b\u4e00\u4ee3 LLMs \u67b6\u6784\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5168\u65b0\u7684\u5b66\u4e60\u8303\u5f0f\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"02-\u68c0\u7d22\u94fe\u589e\u5f3a\u751f\u6210\">02. \u68c0\u7d22\u94fe\u589e\u5f3a\u751f\u6210<\/h3>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"315\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-3-1024x315.png\" alt=\"paper screenshot\" class=\"wp-image-1156656\" style=\"width:663px;height:auto\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-3-1024x315.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-3-300x92.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-3-768x237.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-3-240x74.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-3.png 1052w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/arxiv.org\/abs\/2501.14342\">https:\/\/arxiv.org\/abs\/2501.14342<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u4f20\u7edf\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u901a\u8fc7\u5916\u90e8\u77e5\u8bc6\u5e93\u5f25\u8865\u4e86 LLMs \u77e5\u8bc6\u65f6\u6548\u6027\u548c\u4e8b\u5b9e\u51c6\u786e\u6027\u7684\u4e0d\u8db3\u3002\u7136\u800c\uff0c\u5728\u5904\u7406\u6d89\u53ca\u591a\u4e2a\u6b65\u9aa4\u3001\u590d\u6742\u903b\u8f91\u5224\u65ad\u6216\u9700\u8981\u6574\u5408\u591a\u4e2a\u96f6\u6563\u4fe1\u606f\u6e90\u7684\u590d\u6742\u95ee\u9898\u65f6\uff0c\u6807\u51c6\u7684 RAG \u6d41\u7a0b\u5f80\u5f80\u8868\u73b0\u4e0d\u4f73\uff0c\u56e0\u4e3a\u5b83\u901a\u5e38\u53ea\u8fdb\u884c\u4e00\u6b21\u6027\u68c0\u7d22\u548c\u4e00\u6b21\u6027\u751f\u6210\u3002\u8fd9\u5176\u4e2d\u7684\u6311\u6218\u5728\u4e8e\u5982\u4f55\u6784\u5efa\u4e00\u4e2a\u591a\u6b65\u3001\u53ef\u8fed\u4ee3\u7684 RAG \u6d41\u7a0b\uff0c\u4f7f\u5176\u80fd\u50cf\u4eba\u7c7b\u89e3\u51b3\u590d\u6742\u95ee\u9898\u4e00\u6837\uff0c\u9010\u6b65\u63d0\u95ee\u3001\u9010\u6b65\u68c0\u7d22\u3001\u9010\u6b65\u6574\u5408\u4fe1\u606f\u3002<\/p>\n\n\n\n<p>\u5bf9\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86 Chain-of-Retrieval Augmented Generation (CoRAG) \u6846\u67b6\u3002CoRAG \u5c06 RAG \u8fc7\u7a0b\u8f6c\u5316\u4e3a\u4e00\u4e2a\u591a\u6b65\u9aa4\u7684\u63a8\u7406\u94fe\u3002\u5728\u5904\u7406\u590d\u6742\u95ee\u9898\u65f6\uff0c\u6a21\u578b\u4f1a\u8fdb\u884c\u591a\u6b21\u52a8\u6001\u68c0\u7d22\uff0c\u6bcf\u4e00\u6b21\u68c0\u7d22\u90fd\u4f1a\u57fa\u4e8e\u4e0a\u4e00\u6b65\u7684\u63a8\u7406\u7ed3\u679c\u548c\u65b0\u7684\u5b50\u95ee\u9898\u3002\u8fd9\u79cd\u94fe\u5f0f\u7ed3\u6784\u5141\u8bb8\u6a21\u578b\u5728\u751f\u6210\u7b54\u6848\u7684\u8fc7\u7a0b\u4e2d\uff0c\u52a8\u6001\u5730\u8fdb\u884c\u67e5\u8be2\u91cd\u5199\u3001\u6574\u5408\u591a\u6b65\u68c0\u7d22\u7ed3\u679c\uff0c\u5e76\u7528\u5176\u9a8c\u8bc1\u6216\u4fee\u6b63\u4e4b\u524d\u7684\u63a8\u7406\u3002\u5728\u6d4b\u8bd5\u9636\u6bb5\uff0c\u53ef\u901a\u8fc7\u591a\u79cd\u89e3\u7801\u7b56\u7565\u6765\u5b9e\u73b0\u4ee5\u7b97\u529b\u6362\u6027\u80fd\uff0c\u5b9e\u9a8c\u7ed3\u679c\u5c55\u73b0\u4e86\u826f\u597d\u7684\u7f29\u653e\u5b9a\u5f8b\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"988\" height=\"652\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-4.png\" alt=\"diagram\" class=\"wp-image-1156657\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-4.png 988w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-4-300x198.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-4-768x507.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-4-240x158.png 240w\" sizes=\"auto, (max-width: 988px) 100vw, 988px\" \/><figcaption class=\"wp-element-caption\">\u56fe2\uff1aCoRAG \u6846\u67b6\u56fe<\/figcaption><\/figure>\n\n\n\n<p>CoRAG \u5728\u9700\u8981\u590d\u6742\u591a\u8df3\u63a8\u7406\u3001\u77e5\u8bc6\u6574\u5408\u548c\u4e8b\u5b9e\u4ea4\u53c9\u9a8c\u8bc1\u7684\u95ee\u7b54\u57fa\u51c6\u4efb\u52a1\u4e0a\uff0c\u53d6\u5f97\u4e86\u8fdc\u8d85\u4f20\u7edf RAG \u548c\u6807\u51c6 Chain-of-Thought \u7684\u6027\u80fd\u3002\u5b83\u6709\u6548\u5730\u63d0\u5347\u4e86 LLMs \u5728\u5904\u7406\u590d\u6742\u4e8b\u5b9e\u6027\u95ee\u9898\u65f6\u7684\u51c6\u786e\u6027\u3001\u900f\u660e\u5ea6\u548c\u53ef\u8ffd\u6eaf\u6027\u3002\u8fd9\u4e00\u6846\u67b6\u4e3a\u6784\u5efa\u9ad8\u5ea6\u53ef\u9760\u3001\u80fd\u591f\u5904\u7406\u590d\u6742\u73b0\u5b9e\u4e16\u754c\u77e5\u8bc6\u6311\u6218\u7684 LLMs \u5e94\u7528\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"03-\u57fa\u4e8e\u53cd\u4e8b\u5b9e\u63a8\u7406\u7684\u53ef\u63a7\u591a\u5143\u5316\u4ef7\u503c\u5bf9\u9f50\">03. \u57fa\u4e8e\u53cd\u4e8b\u5b9e\u63a8\u7406\u7684\u53ef\u63a7\u591a\u5143\u5316\u4ef7\u503c\u5bf9\u9f50<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"679\" height=\"326\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-5.png\" alt=\"paper screenshot\" class=\"wp-image-1156658\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-5.png 679w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-5-300x144.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-5-240x115.png 240w\" sizes=\"auto, (max-width: 679px) 100vw, 679px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.arxiv.org\/abs\/2510.18526\">https:\/\/www.arxiv.org\/abs\/2510.18526<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u968f\u7740 LLMs \u9010\u6e10\u878d\u5165\u591a\u5143\u6587\u5316\u3001\u793e\u7fa4\u4e0e\u4e2a\u4f53\u7684\u771f\u5b9e\u4f7f\u7528\u573a\u666f\uff0c\u4f20\u7edf\u4ee5\u201c\u5355\u4e00\u5e73\u5747\u504f\u597d\u201d\uff08\u5982\u5b89\u5168\u3001\u6709\u7528\uff09\u4f5c\u4e3a\u76ee\u6807\u7684\u4eba\u7c7b\u53cd\u9988\u5f3a\u5316\u5b66\u4e60\uff08RLHF\uff09\u5df2\u7ecf\u96be\u4ee5\u9002\u5e94\u4e30\u5bcc\u4e14\u591a\u6837\u7684\u4eba\u7c7b\u504f\u597d\u3002\u56e0\u6b64\uff0c\u63a2\u7a76 LLMs \u7684\u591a\u5143\u4ef7\u503c\u89c2\u5bf9\u9f50\u6210\u4e3a\u4e00\u4e2a\u5173\u952e\u95ee\u9898\u3002\u7136\u800c\uff0c\u73b0\u6709\u5de5\u4f5c\u4ecd\u7136\u9762\u4e34\u4e24\u5927\u6838\u5fc3\u6311\u6218\uff1a\u4ef7\u503c\u89c2\u590d\u6742\u6027\uff0c\u901a\u5e38\u5c06\u591a\u4e2a\u4ef7\u503c\u7ef4\u5ea6\u89c6\u4e3a\u76f8\u4e92\u72ec\u7acb\u4e14\u540c\u7b49\u91cd\u8981\uff0c\u5ffd\u7565\u5b83\u4eec\u76f8\u4e92\u4e4b\u95f4\u7684\u7ed3\u6784\u6027\u4f9d\u8d56\u5173\u7cfb\u548c\u4f18\u5148\u7ea7\u5dee\u5f02\uff1b\u4ef7\u503c\u53ef\u63a7\u6027\uff0c\u96be\u4ee5\u7cbe\u786e\u5730\u6307\u5bfc\u6a21\u578b\u9075\u5faa\u7279\u5b9a\u7684\u4f26\u7406\u8fb9\u754c\u6216\u4ef7\u503c\u504f\u597d\u3002\u8fd9\u65e0\u6cd5\u6ee1\u8db3\u73b0\u5b9e\u4e16\u754c\u4e2d\u591a\u5143\u5316\uff08pluralistic\uff09\u4e14\u9700\u8981\u53ef\u63a7\u5f15\u5bfc\uff08steerable\uff09\u7684\u590d\u6742\u4ef7\u503c\u89c2\u9700\u6c42\u3002<\/p>\n\n\n\n<p>\u672c\u7bc7\u8bba\u6587\u63d0\u51fa\u4e86 COUPLE \u6846\u67b6 (COUnterfactual reasoning for PLuralistic valuE alignment)\uff0c\u8be5\u65b9\u6cd5\u4f7f\u7528\u7ed3\u6784\u56e0\u679c\u6a21\u578b\uff08SCM\uff09\u8868\u793a\u591a\u4e2a\u4ef7\u503c\u7ef4\u5ea6\u4e4b\u95f4\u7684\u590d\u6742\u4f9d\u8d56\u5173\u7cfb\uff08value complexity\uff09\uff0c\u5e76\u5efa\u6a21\u8fd9\u4e9b\u4ef7\u503c\u7ef4\u5ea6\u5bf9\u884c\u4e3a\u7684\u56e0\u679c\u5f71\u54cd\u3002\u7136\u540e\u5229\u7528\u53cd\u4e8b\u5b9e\u63a8\u7406\uff08counterfactual reasoning\uff09\uff0c\u901a\u8fc7\u5bf9 SCM \u4e2d\u7684\u4ef7\u503c\u7ef4\u5ea6\u8fdb\u884c\u5e72\u9884\uff08intervention\uff09\uff0c\u751f\u6210\u7b26\u5408\u4efb\u610f\u76ee\u6807\u4ef7\u503c\u914d\u7f6e\uff08value objectives\uff09\u7684\u8f93\u51fa\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"385\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-6-1024x385.png\" alt=\"diagram\" class=\"wp-image-1156659\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-6-1024x385.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-6-300x113.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-6-768x289.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-6-240x90.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-6.png 1047w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe3\uff1aCOUPLE \u6846\u67b6\u56fe<\/figcaption><\/figure>\n\n\n\n<p>\u63a8\u7406\u9636\u6bb5\u53ef\u4ee5\u901a\u8fc7\u8bbe\u5b9a\u7279\u5b9a\u7684\u76ee\u6807\u4ef7\u503c\u7ec4\u5408\uff08counterfactual value profile\uff09\u6765\u5f15\u5bfc\u6a21\u578b\u884c\u4e3a\uff0c\u5b9e\u73b0\u5bf9\u4e0d\u540c\u4ef7\u503c\u4f18\u5148\u7ea7\uff08\u5305\u62ec\u8fb9\u7f18\u6216\u5f31\u52bf\u4ef7\u503c\uff09\u7684\u7cbe\u786e\u63a7\u5236\u3002\u56e0\u4e3a\u8fd9\u79cd\u5e72\u9884\u662f\u57fa\u4e8e\u7ed3\u6784\u56e0\u679c\u6a21\u578b\uff08\u800c\u4e0d\u662f\u7b80\u5355\u63d0\u793a\uff09\uff0cCOUPLE \u80fd\u63d0\u4f9b\u66f4\u7ec6\u7c92\u5ea6\u7684\u53ef\u63a7\u6027\uff0c\u540c\u65f6\u5177\u6709\u8f83\u5f3a\u7684\u53ef\u89e3\u91ca\u6027\u3002<\/p>\n\n\n\n<p>\u5b9e\u9a8c\u4e2d\uff0cCOUPLE \u5728\u4e24\u4e2a\u5177\u6709\u4e0d\u540c\u4ef7\u503c\u4f53\u7cfb\u7684\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u4e86\u8bc4\u4f30\uff0c\u7ed3\u679c\u663e\u793a\u5b83\u5728\u5bf9\u9f50\u590d\u6742\u4ef7\u503c\u76ee\u6807\u4e0a\u4f18\u4e8e\u4f20\u7edf\u5bf9\u9f50\u65b9\u6cd5\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"04-nadro-\u5229\u7528\u53cc\u91cd\u5956\u52b1\u7b56\u7565\u8bad\u7ec3\u542b\u566a\u6570\u636e\u4e0b\u7684-llms\">04. NaDRO\uff1a\u5229\u7528\u53cc\u91cd\u5956\u52b1\u7b56\u7565\u8bad\u7ec3\u542b\u566a\u6570\u636e\u4e0b\u7684 LLMs<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"847\" height=\"357\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-7.png\" alt=\"paper screenshot\" class=\"wp-image-1156660\" style=\"width:670px;height:auto\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-7.png 847w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-7-300x126.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-7-768x324.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-7-240x101.png 240w\" sizes=\"auto, (max-width: 847px) 100vw, 847px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/nadro-leveraging-dual-reward-strategies-for-llms-training-on-noisy-data\/\">https:\/\/www.microsoft.com\/en-us\/research\/publication\/nadro-leveraging-dual-reward-strategies-for-llms-training-on-noisy-data\/<\/a><\/p>\n\n\n\n<p>\u5927\u8bed\u8a00\u6a21\u578b\u5728\u590d\u6742\u63a8\u7406\u4e0a\u8868\u73b0\u4f18\u5f02\uff0c\u53ef\u4e00\u65e6\u8fdb\u5165\u957f\u7a0b\u51b3\u7b56\uff0c\u8bad\u7ec3\u5e38\u53d7\u9ad8\u8d28\u91cf\u6807\u6ce8\u7a00\u7f3a\u4e0e\u4fe1\u7528\u5206\u914d\u56f0\u96be\u63a3\u8098\u3002\u8bb8\u591a\u4efb\u52a1\u5e76\u4e0d\u5b58\u5728\u552f\u4e00\u6b63\u786e\u52a8\u4f5c\uff0c\u5373\u4f7f\u5b58\u5728\u4e5f\u96be\u4ee5\u5728\u6709\u9650\u8ba1\u7b97\u5185\u7cbe\u786e\u8bc4\u4f30\uff0c\u76d1\u7763\u4fe1\u53f7\u4e5f\u56e0\u800c\u542b\u7cca\u4e14\u5e26\u566a\uff0c\u8fd9\u4e0d\u4ec5\u653e\u5927\u4e86\u65b9\u5dee\uff0c\u8fd8\u6613\u8bf1\u53d1\u201c\u5956\u52b1\u6295\u673a\u201d\uff0c\u5bfc\u81f4\u8bad\u7ec3\u4e0d\u7a33\u5b9a\u4e0e\u6027\u80fd\u53d7\u635f\u3002<\/p>\n\n\n\n<p>\u4e3a\u5e94\u5bf9\u566a\u58f0\u76d1\u7763\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa Noise\u2011Aware Dual\u2011Reward Optimization\uff08NaDRO\uff09\uff0c\u4ee5\u53cc\u91cd\u5956\u52b1\u5728\u4e0d\u5b8c\u7f8e\u76d1\u7763\u4e0b\u63d0\u5347\u7a33\u5065\u6027\u4e0e\u6548\u7387\u3002\u504f\u597d\u5f0f\u7ed3\u679c\u5956\u52b1\uff08POR\uff09\u4e0d\u56de\u5f52\u566a\u58f0\u663e\u8457\u7684\u7edd\u5bf9\u5206\u6570\uff0c\u800c\u662f\u57fa\u4e8e\u66f4\u7a33\u5065\u7684\u504f\u597d\u6392\u5e8f\u5b66\u4e60\uff0c\u5c06\u52a8\u4f5c\u6309\u540d\u6b21\u8fdb\u884c top\u2011k \u5212\u5206\u5e76\u7ebf\u6027\u7f29\u653e\u5956\u52b1\uff0c\u5728\u6709\u539f\u5219\u7684\u504f\u5dee-\u65b9\u5dee\u6743\u8861\u4e0b\u53ef\u5927\u5e45\u964d\u4f4e\u8bad\u7ec3\u65b9\u5dee\uff0c\u63d0\u5347\u7a33\u5b9a\u6027\u3002\u4e0a\u4e0b\u6587\u611f\u77e5\u5956\u52b1\uff08CPR\uff09\u8981\u6c42\u6a21\u578b\u5728\u51b3\u7b56\u524d\u5bf9\u5f53\u524d\u95ee\u9898\u72b6\u6001\u8fdb\u884c\u5fc5\u8981\u7684\u5b9a\u6027\u8bc4\u4f30\uff08\u5982\u95ee\u9898\u7c7b\u578b\u3001\u72b6\u6001\u3001\u5f53\u524d\u6210\u672c\u7b49\uff09\uff0c\u63d0\u4f9b\u5bc6\u96c6\u3001\u5373\u65f6\u3001\u4e14\u4e0e\u6700\u7ec8\u7ed3\u679c\u76f8\u5bf9\u72ec\u7acb\u7684\u8fc7\u7a0b\u4fe1\u53f7\uff0c\u7f13\u89e3\u7a00\u758f\u4e0e\u5ef6\u8fdf\u53cd\u9988\u5e76\u6291\u5236\u201c\u5956\u52b1\u6295\u673a\u201d\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"334\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-8-1-1024x334.png\" alt=\"diagram\" class=\"wp-image-1156665\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-8-1-1024x334.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-8-1-300x98.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-8-1-768x250.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-8-1-240x78.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-8-1.png 1298w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe4\uff1a\u4f7f\u7528 NaDRO \u6846\u67b6\u6765\u8bad\u7ec3 LLMs<\/figcaption><\/figure>\n\n\n\n<p>\u591a\u4e2a\u7ec4\u5408\u4f18\u5316\u95ee\u9898\u7684\u7b97\u6cd5\u9009\u62e9\u573a\u666f\uff08\u5982 TSP\u3001CVRP\uff09\u7684\u5b9e\u9a8c\u8868\u660e\uff0c\u7ecf NaDRO \u5fae\u8c03\u7684\u4e2d\u7b49\u89c4\u6a21\u6a21\u578b\uff08Qwen 7B\u3001Llama 3\u20118B\uff09\u5728\u591a\u9879\u57fa\u51c6\u4e0a\u53d6\u5f97\u663e\u8457\u4e14\u7a33\u5065\u7684\u63d0\u5347\uff0c\u6574\u4f53\u4f18\u4e8e GPT\u20114o\u3001GPT\u2011o3\u3001Deepseek\u2011R1\uff0c\u5e76\u4e0e\u591a\u79cd metaheuristics \u4fdd\u6301\u5f3a\u7ade\u4e89\u529b\u3002NaDRO \u80fd\u6709\u6548\u5229\u7528\u542b\u7cca\u4e0e\u5e26\u566a\u7684\u76d1\u7763\uff0c\u964d\u4f4e\u5bf9\u5b8c\u7f8e\u6807\u6ce8\u7684\u4f9d\u8d56\uff0c\u5927\u5927\u5f3a\u5316\u957f\u7a0b\u51b3\u7b56\u4e2d\u7684\u7b56\u7565\u5b66\u4e60\u80fd\u529b\uff0c\u4f7f\u4e2d\u7b49\u89c4\u6a21\u6a21\u578b\u5728\u590d\u6742\u7ec4\u5408\u4f18\u5316\u4efb\u52a1\u4e0a\u53d6\u5f97\u9886\u5148\u8868\u73b0\uff0c\u5e76\u4e3a\u7269\u6d41\u3001\u8fd0\u7b79\u7b49\u771f\u5b9e\u573a\u666f\u63d0\u4f9b\u517c\u5177\u5b9e\u7528\u4ef7\u503c\u4e0e\u53ef\u6269\u5c55\u6027\u7684\u8def\u5f84\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"05-llms-\u4e2d\u7684\u4e2a\u6027\u5316\u5b89\u5168-\u57fa\u51c6\u4e0e\u57fa\u4e8e\u89c4\u5212\u7684\u667a\u80fd\u4f53\u65b9\u6cd5\">05. LLMs \u4e2d\u7684\u4e2a\u6027\u5316\u5b89\u5168\uff1a\u57fa\u51c6\u4e0e\u57fa\u4e8e\u89c4\u5212\u7684\u667a\u80fd\u4f53\u65b9\u6cd5<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"853\" height=\"414\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-9.png\" alt=\"paper screenshot\" class=\"wp-image-1156662\" style=\"width:617px;height:auto\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-9.png 853w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-9-300x146.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-9-768x373.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-9-240x116.png 240w\" sizes=\"auto, (max-width: 853px) 100vw, 853px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/arxiv.org\/abs\/2505.18882\">https:\/\/arxiv.org\/abs\/2505.18882<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u5f53\u524d LLMs \u7684\u5b89\u5168\u5bf9\u9f50\u65b9\u6cd5\u5927\u591a\u91c7\u7528\u201c\u4e00\u5200\u5207\u201d\u7684\u7b56\u7565\uff0c\u56e0\u8ffd\u6c42\u6240\u6709\u7528\u6237\u7684\u666e\u904d\u5b89\u5168\uff0c\u800c\u5ffd\u7565\u4e86\u4e2a\u4f53\u6216\u7fa4\u4f53\u7684\u5dee\u5f02\u5316\u5b89\u5168\u9700\u6c42\u4e0e\u504f\u597d\u3002\u8fd9\u4f7f\u5f97\u6a21\u578b\u5728\u9762\u5bf9\u7279\u5b9a\u6587\u5316\u80cc\u666f\u3001\u4e13\u4e1a\u9886\u57df\u6216\u4e2a\u4f53\u654f\u611f\u5ea6\u65f6\uff0c\u96be\u4ee5\u63d0\u4f9b\u65e2\u5b89\u5168\u53c8\u5b9e\u7528\u7684\u8f93\u51fa\u3002\u540c\u65f6\uff0c\u6d4b\u8bd5\u8fd9\u79cd\u4e2a\u6027\u5316\u5b89\u5168\u6a21\u578b\u7684\u5de5\u5177\u4e5f\u4e25\u91cd\u7f3a\u4e4f\u3002<\/p>\n\n\n\n<p>\u4e3a\u4e86\u89e3\u51b3\u4e0a\u8ff0\u95ee\u9898\uff0c\u8be5\u7814\u7a76\u9996\u5148\u6784\u5efa\u4e86\u4e00\u4e2a\u5927\u89c4\u6a21\u3001\u591a\u7ef4\u5ea6\u7684\u4e2a\u6027\u5316\u5b89\u5168\u57fa\u51c6 PENGUIN\uff08Personalized Evaluation of Nuanced Generation Under Individual Needs\uff09\uff0c\u7528\u4e8e\u7cfb\u7edf\u5730\u8bc4\u4f30 LLMs \u5728\u9075\u5faa\u4e0d\u540c\u4e2a\u4f53\u5b89\u5168\u7ea6\u675f\u65f6\u7684\u8868\u73b0\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u65e0\u9700\u8bad\u7ec3\u7684\u4ee3\u7406\u6846\u67b6 RAISE\uff08Risk-Aware Information Selection Engine\uff09\uff0c\u65e8\u5728\u89e3\u51b3\u5b9e\u9645\u573a\u666f\u4e2d\u7528\u6237\u4e0d\u613f\u4e00\u6b21\u6027\u63d0\u4f9b\u5168\u90e8\u9690\u79c1\u5c5e\u6027\u7684\u96be\u9898\u3002RAISE \u5c06\u7528\u6237\u5c5e\u6027\u91c7\u96c6\u8fc7\u7a0b\u5efa\u6a21\u4e3a\u9a6c\u5c14\u53ef\u592b\u51b3\u7b56\u8fc7\u7a0b\uff08MDP\uff09\uff0c\u5229\u7528 LLM-guided Monte Carlo Tree Search\uff08MCTS\uff09\u8fdb\u884c\u79bb\u7ebf\u89c4\u5212\uff0c\u5e76\u5728\u6709\u9650\u4ea4\u4e92\u9884\u7b97\u4e0b\u52a8\u6001\u51b3\u5b9a\u4e0b\u4e00\u6b65\u8be2\u95ee\u54ea\u4e2a\u5c5e\u6027\uff0c\u4ee5\u6700\u5927\u5316\u9884\u671f\u5b89\u5168\u5f97\u5206\u3002\u5728\u7ebf\u4e0a\u4ea4\u4e92\u9636\u6bb5\uff0cRAISE \u7ed3\u5408 \u201cabstention module\u201d \u6765\u5224\u65ad\u5f53\u524d\u5df2\u77e5\u4fe1\u606f\u662f\u5426\u8db3\u4ee5\u5b89\u5168\u751f\u6210\u54cd\u5e94\uff0c\u82e5\u4e0d\u8db3\u5219\u7ee7\u7eed\u8be2\u95ee\u6216\u76f4\u63a5\u62d2\u7edd\u3002<\/p>\n\n\n\n<p>\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5728\u4ec5\u5141\u8bb8\u5e73\u57472.7\u6b21\u4ea4\u4e92\u7684\u4e25\u683c\u9884\u7b97\u4e0b\uff0cRAISE \u5728 PENGUIN \u57fa\u51c6\u4e0a\u5c06\u5b89\u5168\u5f97\u5206\u8f83\u57fa\u7ebf\u6a21\u578b\u63d0\u5347\u6700\u9ad831.6%\uff0c\u663e\u8457\u4f18\u4e8e\u968f\u673a\u8be2\u95ee\u3001\u5168\u95ee\u3001\u751a\u81f3\u4eba\u7c7b\u8868\u73b0\u7b49\u7b56\u7565\u3002\u540c\u65f6\uff0cRAISE \u751f\u6210\u7684\u54cd\u5e94\u5728\u5b9e\u7528\u6027\u548c\u8fde\u8d2f\u6027\u4e0a\u4e0e\u65e0\u7ea6\u675f\u57fa\u7ebf\u51e0\u4e4e\u65e0\u635f\uff0c\u8bc1\u660e\u4e86\u89c4\u5212\u5f0f\u667a\u80fd\u4fe1\u606f\u91c7\u96c6\u7684\u53ef\u884c\u6027\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"777\" height=\"455\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-10.jpg\" alt=\"diagram\" class=\"wp-image-1156663\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-10.jpg 777w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-10-300x176.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-10-768x450.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-10-480x280.jpg 480w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-10-240x141.jpg 240w\" sizes=\"auto, (max-width: 777px) 100vw, 777px\" \/><figcaption class=\"wp-element-caption\">\u56fe5\uff1a\uff08\u4e0a\uff09PENGUIN \u6570\u636e\u96c6\u793a\u610f\u56fe\uff1b\uff08\u4e0b\uff09RAISE \u6846\u67b6\u56fe<\/figcaption><\/figure>\n\n\n\n<p>PENGUIN \u57fa\u51c6\u9996\u6b21\u4e3a\u4e2a\u6027\u5316\u5b89\u5168\u7814\u7a76\u63d0\u4f9b\u4e86\u91cf\u5316\u8bc4\u4f30\u5de5\u5177\uff0c\u57fa\u4e8e\u89c4\u5212\u7684\u4ee3\u7406\u65b9\u6cd5\u5728\u9075\u5faa\u4e2a\u6027\u5316\u5b89\u5168\u7ea6\u675f\u65b9\u9762\u8868\u73b0\u51fa\u663e\u8457\u4f18\u8d8a\u6027\u3002\u8fd9\u8bc1\u660e\u4e86\u901a\u8fc7\u5c06\u5b89\u5168\u673a\u5236\u5177\u8eab\u5316\u4e3a\u4ee3\u7406\u7684\u89c4\u5212\u548c\u51b3\u7b56\u8fc7\u7a0b\uff0cLLMs \u80fd\u591f\u66f4\u7075\u6d3b\u3001\u66f4\u7cbe\u786e\u5730\u9002\u5e94\u548c\u9075\u5faa\u4e0d\u540c\u7684\u5b89\u5168\u7b56\u7565\uff0c\u4ece\u800c\u5728\u4fdd\u969c\u7528\u6237\u5b9e\u7528\u6027\u7684\u540c\u65f6\uff0c\u5b9e\u73b0\u9ad8\u5ea6\u5b9a\u5236\u5316\u7684\u5b89\u5168\u9632\u62a4\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"06-\u5956\u52b1\u63a8\u7406\u6a21\u578b\">06. \u5956\u52b1\u63a8\u7406\u6a21\u578b<\/h3>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"350\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-11-1-1024x350.png\" alt=\"paper screenshot\" class=\"wp-image-1156666\" style=\"width:603px;height:auto\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-11-1-1024x350.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-11-1-300x102.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-11-1-768x262.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-11-1-240x82.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-11-1.png 1083w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/arxiv.org\/abs\/2505.14674\">https:\/\/arxiv.org\/abs\/2505.14674<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u5728 LLMs \u7684\u5bf9\u9f50\u4e0e\u540e\u8bad\u7ec3\u9636\u6bb5\uff0c\u5956\u52b1\u6a21\u578b\uff08Reward Model, RM\uff09\u626e\u6f14\u7740\u81f3\u5173\u91cd\u8981\u7684\u201c\u88c1\u5224\u201d\u89d2\u8272\u3002\u957f\u671f\u4ee5\u6765\uff0c\u5956\u52b1\u6a21\u578b\u8bad\u7ec3\u4e3a\u4e00\u4e2a\u6807\u91cf\u5956\u52b1\u6a21\u578b\uff0c\u8bfb\u5165\u4e00\u6bb5\u6587\u672c\uff0c\u76f4\u63a5\u8f93\u51fa\u4e00\u4e2a\u6807\u91cf\u5206\u6570\uff0c\u7531\u4e8e\u7f3a\u4e4f\u6df1\u5ea6\u601d\u8003\u8fc7\u7a0b\uff0c\u8fd9\u4f7f\u5176\u5728\u9762\u5bf9\u590d\u6742\u4efb\u52a1\u7684\u5956\u52b1\u95ee\u9898\u65f6\u529b\u4e0d\u4ece\u5fc3\u3002<\/p>\n\n\n\n<p>\u8be5\u7814\u7a76\u63d0\u51fa\u5956\u52b1\u63a8\u7406\u6a21\u578b\uff08Reward Reasoning Models, RRM\uff09\uff0c\u53ef\u4ee5\u901a\u8fc7\u6d88\u8017\u66f4\u591a\u7684\u63a8\u7406\u7b97\u529b\uff0c\u6765\u6362\u53d6\u66f4\u7cbe\u51c6\u7684\u8bc4\u4f30\u8d28\u91cf\u3002\u9762\u5bf9\u8d8a\u96be\u7684\u5956\u52b1\u95ee\u9898\uff0cRRM \u53ef\u4ee5\u201c\u601d\u8003\u201d\u5f97\u8d8a\u4e45\u6765\u8fdb\u884c\u8bc4\u5224\u3002\u4e3a\u4e86\u8bad\u7ec3\u5956\u52b1\u63a8\u7406\u6a21\u578b\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\u7684\u6846\u67b6\uff0c\u8be5\u6846\u67b6\u4e0d\u4f9d\u8d56\u6602\u8d35\u7684\u4eba\u5de5\u63a8\u7406\u6807\u6ce8\uff0c\u800c\u662f\u6784\u5efa\u4e86\u4e00\u4e2a\u57fa\u4e8e\u89c4\u5219\u7684\u5956\u52b1\u73af\u5883\uff0c\u4f7f\u5f97\u6a21\u578b\u53ef\u4ee5\u5728\u73af\u5883\u4e2d\u8bd5\u9519\uff0c\u6f14\u5316\u51fa\u4f18\u79c0\u7684\u5956\u52b1\u63a8\u7406\u7b56\u7565\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"420\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-12-1024x420.png\" alt=\"graphical user interface, text, application, chat or text message\" class=\"wp-image-1156667\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-12-1024x420.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-12-300x123.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-12-768x315.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-12-240x98.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-12.png 1075w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe6\uff1aRRM \u793a\u610f\u56fe<\/figcaption><\/figure>\n\n\n\n<p>\u5b9e\u9a8c\u8868\u660e\uff0cRRM \u5728\u591a\u9879\u5956\u52b1\u8bc4\u6d4b\u57fa\u51c6\u4e0a\u4f18\u4e8e\u6807\u91cf\u5956\u52b1\u6a21\u578b\u548c J1\u3001GRM \u7b49\u751f\u6210\u5f0f\u5956\u52b1\u6a21\u578b\u3002\u6b64\u5916\uff0c\u5b9e\u9a8c\u8fd8\u8be6\u7ec6\u7814\u7a76\u4e86 RRM \u7684\u6d4b\u8bd5\u65f6\u8ba1\u7b97\u7684\u7f29\u653e\u6548\u5e94\uff0c\u5728\u63a8\u7406\u957f\u5ea6\u62d3\u5c55\u3001\u63a8\u7406\u6b21\u6570\u62d3\u5c55\u7b49\u7ef4\u5ea6\u4e0a\u90fd\u663e\u793a\uff0c RRM \u53ef\u4ee5\u5229\u7528\u66f4\u591a\u7684\u6d4b\u8bd5\u65f6\u8ba1\u7b97\u63d0\u5347\u5956\u52b1\u63a8\u7406\u7684\u6027\u80fd\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"07-\u57fa\u4e8e\u5927\u578b\u6df7\u5408\u63a8\u7406\u6a21\u578b\u7684\u6309\u9700\u601d\u7ef4\u673a\u5236\">07. \u57fa\u4e8e\u5927\u578b\u6df7\u5408\u63a8\u7406\u6a21\u578b\u7684\u6309\u9700\u601d\u7ef4\u673a\u5236<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"844\" height=\"340\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-13.png\" alt=\"paper screenshot\" class=\"wp-image-1156668\" style=\"width:641px;height:auto\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-13.png 844w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-13-300x121.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-13-768x309.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-13-240x97.png 240w\" sizes=\"auto, (max-width: 844px) 100vw, 844px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/openreview.net\/forum?id=fDjDVE4qdj\">https:\/\/openreview.net\/forum?id=fDjDVE4qdj<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u5c3d\u7ba1 LLMs \u5728\u8bed\u8a00\u7406\u89e3\u548c\u751f\u6210\u65b9\u9762\u8868\u73b0\u51fa\u8272\uff0c\u4f46\u4f20\u7edf\u63a8\u7406\u589e\u5f3a\u6a21\u578b\uff08\u5982 Large Reasoning Models, LRMs\uff09\u867d\u5728\u590d\u6742\u4efb\u52a1\u4e0a\u901a\u8fc7\u5ef6\u957f\u601d\u8003\u94fe\u53ef\u663e\u8457\u63d0\u5347\u6027\u80fd\uff0c\u5374\u5bf9\u7b80\u5355\u67e5\u8be2\u4e5f\u5f3a\u5236\u8fdb\u884c\u5197\u957f\u63a8\u7406\uff0c\u5bfc\u81f4 token \u6d88\u8017\u548c\u5ef6\u8fdf\u5927\u5e45\u589e\u52a0\uff0c\u6548\u7387\u4f4e\u4e0b\u3002\u8fd9\u4f7f\u5f97\u73b0\u6709\u6a21\u578b\u96be\u4ee5\u5728\u5b9e\u9645\u90e8\u7f72\u4e2d\u5e73\u8861\u9ad8\u6027\u80fd\u4e0e\u4f4e\u5f00\u9500\u3002<\/p>\n\n\n\n<p>\u8be5\u7814\u7a76\u63d0\u51fa\u4e86 Large Hybrid-Reasoning Models\uff08LHRMs\uff0c\u5927\u89c4\u6a21\u6df7\u5408\u63a8\u7406\u6a21\u578b\uff09\u7684\u65b0\u6a21\u578b\u3002\u4e0e\u5f3a\u5236\u6240\u6709\u67e5\u8be2\u90fd\u957f\u94fe\u601d\u8003\u7684 LRMs \u4e0d\u540c\uff0cLHRMs \u80fd\u591f\u6839\u636e\u67e5\u8be2\u96be\u5ea6\u81ea\u9002\u5e94\u9009\u62e9\u4e24\u79cd\u6a21\u5f0f\uff1a\u5728\u590d\u6742\u95ee\u9898\u4e0a\u6fc0\u6d3b\u201cThinking \u6a21\u5f0f\u201d\uff0c\u5728\u7b80\u5355\u95ee\u9898\u4e0a\u5207\u6362\u81f3\u201cNo-Thinking \u6a21\u5f0f\u201d\u3002\u8fd9\u79cd\u6df7\u5408\u673a\u5236\u5b8c\u5168\u7531\u6a21\u578b\u5185\u90e8\u9690\u5f0f\u7b56\u7565\u9a71\u52a8\uff0c\u65e0\u9700\u5916\u90e8\u8def\u7531\u5668\u6216\u95e8\u63a7\u786c\u4ef6\u3002<\/p>\n\n\n\n<p>\u4e3a\u5b9e\u73b0\u8fd9\u4e00\u80fd\u529b\uff0c\u7814\u7a76\u5458\u4eec\u8bbe\u8ba1\u4e86\u4e24\u9636\u6bb5\u8bad\u7ec3\u6d41\u7a0b\uff1a1) Hybrid Fine-Tuning\uff08HFT\uff09\uff0c\u6784\u5efa\u7ea6170\u4e07\u6761\u6df7\u5408\u6570\u636e\u96c6\uff08\u590d\u6742\u6837\u672c\u6807\u6ce8<think>\uff0c\u7b80\u5355\u6837\u672c\u6807\u6ce8<no_think>\uff09\uff0c\u901a\u8fc7\u76d1\u7763\u5fae\u8c03\u63d0\u4f9b\u521d\u59cb\u80fd\u529b\uff1b2) Hybrid Group Policy Optimization\uff08HGPO\uff09\uff0c\u5728\u7ebf\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\u5bf9\u6bcf\u4e2a\u67e5\u8be2\u5728\u4e24\u79cd\u6a21\u5f0f\u4e0b\u5206\u522b\u91c7\u6837\u591a\u6761\u54cd\u5e94\uff0c\u901a\u8fc7\u7ec4\u5185\u4e0e\u7ec4\u95f4\u5956\u52b1\u540c\u65f6\u4f18\u5316\u56de\u7b54\u8d28\u91cf\u548c\u6a21\u5f0f\u9009\u62e9\u51c6\u786e\u6027\uff0c\u4f7f\u6a21\u578b\u5b66\u4f1a\u201c\u8be5\u601d\u8003\u65f6\u624d\u601d\u8003\u201d\u3002<\/p>\n\n\n\n<p>\u7814\u7a76\u5458\u4eec\u8fd8\u63d0\u51fa\u4e86\u65b0\u6307\u6807 Hybrid Accuracy\uff08H_Acc\uff09\uff0c\u4ee5\u8861\u91cf\u6a21\u578b\u4e3a\u6bcf\u4e2a\u67e5\u8be2\u9009\u62e9\u66f4\u4f18\uff08\u6216\u66f4\u77ed\uff09\u6a21\u5f0f\u7684\u51c6\u786e\u7387\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"841\" height=\"603\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-14.png\" alt=\"table\" class=\"wp-image-1156669\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-14.png 841w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-14-300x215.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-14-768x551.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-14-240x172.png 240w\" sizes=\"auto, (max-width: 841px) 100vw, 841px\" \/><figcaption class=\"wp-element-caption\">\u56fe7\uff1a\u4e09\u79cd\u6a21\u578b\u5728\u63a8\u7406\u4efb\u52a1\uff08\u4e0a\uff09\u548c\u65e5\u5e38\u95ee\u7b54\u4efb\u52a1\uff08\u4e0b\uff09\u7684\u8868\u73b0\u5bf9\u6bd4\u3002\u4f20\u7edf LLMs \u5728\u590d\u6742\u63a8\u7406\u4e0a\u8868\u73b0\u4e0d\u8db3\uff0cLRMs \u867d\u80fd\u63a8\u7406\u4f46\u5728\u7b80\u5355\u4efb\u52a1\u4e2d\u8fc7\u5ea6\u601d\u8003\uff0c\u5bfc\u81f4\u54cd\u5e94\u7f13\u6162\u3002LHRMs \u901a\u8fc7\u81ea\u9002\u5e94\u601d\u8003\u7b56\u7565\uff0c\u5728\u4fdd\u6301\u5f3a\u63a8\u7406\u80fd\u529b\u7684\u540c\u65f6\uff0c\u53ef\u5b9e\u73b0\u66f4\u5feb\u3001\u66f4\u81ea\u7136\u7684\u4ea4\u4e92\u3002<\/figcaption><\/figure>\n\n\n\n<p>\u5b9e\u9a8c\u8868\u660e\uff0cLHRMs \u5728 MATH\u3001AIME\u3001GPQA\u3001\u4ee3\u7801\u751f\u6210\u7b49\u9ad8\u96be\u5ea6\u57fa\u51c6\u4e0a\u8d85\u8d8a\u539f\u6709 LRMs\uff0c\u540c\u65f6\u5728 AlpacaEval\u3001Arena-Hard \u7b49\u901a\u7528\u80fd\u529b\u6d4b\u8bd5\u4e2d\u66f4\u5f3a\u3002\u66f4\u5173\u952e\u7684\u662f\uff0c\u5728\u7b80\u5355\u67e5\u8be2\u4e0a\u5927\u5e45\u51cf\u5c11\u4e86\u601d\u8003\u6bd4\u4f8b\u548c\u8f93\u51fa\u957f\u5ea6\uff0c\u6574\u4f53\u6548\u7387\u663e\u8457\u63d0\u5347\uff0c\u6709\u6548\u89e3\u51b3\u4e86\u63a8\u7406\u6a21\u578b\u7684\u5ef6\u8fdf\u4e0e\u5197\u4f59\u95ee\u9898\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"08-\u8fc8\u5411\u601d\u7ef4\u6700\u4f18\u6269\u5c55-\u4f18\u5316-llms-\u63a8\u7406\u7684\u6d4b\u8bd5\u65f6\u8ba1\u7b97\u8d44\u6e90\">08. \u8fc8\u5411\u601d\u7ef4\u6700\u4f18\u6269\u5c55\uff1a\u4f18\u5316 LLMs \u63a8\u7406\u7684\u6d4b\u8bd5\u65f6\u8ba1\u7b97\u8d44\u6e90<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"287\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-15.png\" alt=\"paper screenshot\" class=\"wp-image-1156670\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-15.png 678w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-15-300x127.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-15-240x102.png 240w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/arxiv.org\/abs\/2502.18080\">https:\/\/arxiv.org\/abs\/2502.18080<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u5728 LLMs \u63a8\u7406\u8fc7\u7a0b\u4e2d\uff0c\u589e\u52a0 chain-of-thought\uff08CoT\uff09\u957f\u5ea6\u901a\u5e38\u80fd\u63d0\u5347\u590d\u6742\u4efb\u52a1\u7684\u6027\u80fd\uff0c\u4f46\u8fc7\u957f\u7684 CoT \u53cd\u800c\u4f1a\u56e0\u7d2f\u79ef\u9519\u8bef\u5bfc\u81f4\u51c6\u786e\u7387\u4e0b\u964d\uff0c\u5c24\u5176\u662f\u5728\u7b80\u5355\u4efb\u52a1\u4e0a\u3002\u8fd9\u79cd\u975e\u5355\u8c03\u5173\u7cfb\u4f7f\u5f97\u56fa\u5b9a\u9ad8\u8ba1\u7b97\u9884\u7b97\u7684\u63a8\u7406\u6a21\u578b\u5728\u5b9e\u9645\u90e8\u7f72\u4e2d\u6548\u7387\u4f4e\u4e0b\u3002\u5176\u6838\u5fc3\u6311\u6218\u5728\u4e8e\u5982\u4f55\u5b9e\u73b0 \u201cthinking-optimal\u201d \u7684\u6d4b\u8bd5\u65f6\u8ba1\u7b97\u7f29\u653e\uff1a\u5728\u4fdd\u8bc1\u6700\u9ad8\u51c6\u786e\u7387\u7684\u524d\u63d0\u4e0b\uff0c\u4f7f\u7528\u6700\u5c11\u7684\u63a8\u7406 token\u3002<\/p>\n\n\n\n<p>\u672c\u7bc7\u8bba\u6587\u63d0\u51fa\u4e86 Thinking-Optimal Scaling (TOPS) \u6846\u67b6\uff0c\u901a\u8fc7\u8ba9\u6a21\u578b\u5728\u6d4b\u8bd5\u65f6\u5e76\u884c\u751f\u6210\u4e0d\u540c\u63a8\u7406\u52aa\u529b\u7ea7\u522b\uff08\u4f4e\u3001\u4e2d\u3001\u9ad8\uff09\u7684\u591a\u4e2a\u5019\u9009\u54cd\u5e94\uff0c\u968f\u540e\u81ea\u52a8\u9009\u62e9\u6700\u77ed\u7684\u6b63\u786e\u7b54\u6848\uff0c\u5b9e\u73b0\u81ea\u9002\u5e94\u7684\u8ba1\u7b97\u8d44\u6e90\u5206\u914d\u3002\u8be5\u6846\u67b6\u65e0\u9700\u5916\u90e8\u4e0d\u786e\u5b9a\u6027\u9884\u6d4b\u5668\uff0c\u800c\u662f\u901a\u8fc7\u4ee5\u4e0b\u8bad\u7ec3\u6d41\u7a0b\u5b9e\u73b0\uff1a1) \u6784\u5efa\u5c0f\u578b\u79cd\u5b50\u6570\u636e\u96c6\uff08\u7ea61.3K \u6570\u5b66\u9898\uff09\uff0c\u7528\u6559\u5e08\u6a21\u578b\u751f\u6210\u4e09\u79cd\u52aa\u529b\u7ea7\u522b\u7684 o1-like \u54cd\u5e94\uff1b2) \u76d1\u7763\u5fae\u8c03\u5f97\u5230\u4e00\u4e2a\u6807\u7b7e\u6a21\u578b\uff08tag model\uff09\uff0c\u80fd\u591f\u6839\u636e\u6807\u7b7e\u63a7\u5236\u751f\u6210\u4e0d\u540c\u52aa\u529b\u7a0b\u5ea6\u7684 CoT\uff1b3) \u7528 tag model \u4e3a\u5927\u89c4\u6a21\u95ee\u9898\uff08\u7ea650K\uff09\u751f\u6210\u591a\u52aa\u529b\u5019\u9009\uff0c\u6311\u9009\u6700\u77ed\u6b63\u786e\u54cd\u5e94\u6784\u5efa\u201cthinking-optimal\u201d\u6570\u636e\u96c6\uff08\u7ea626K\uff09\uff1b4) \u5728\u6b64\u6570\u636e\u96c6\u4e0a\u5bf9\u57fa\u7840\u6a21\u578b\uff08\u5982 Qwen2.5-32B\uff09\u8fdb\u884c SFT\uff0c\u5f97\u5230 TOPS \u6a21\u578b\uff1b\u4e5f\u53ef\u9009\u62e9\u8fdb\u4e00\u6b65\u8fed\u4ee3\u81ea\u6539\u8fdb\uff08SFT \u6216 DPO\uff09\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"960\" height=\"412\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-16.png\" alt=\"diagram\" class=\"wp-image-1156671\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-16.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-16-300x129.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-16-768x330.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-16-240x103.png 240w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/><figcaption class=\"wp-element-caption\">\u56fe8\uff1aTOPS \u6846\u67b6\u793a\u610f\u56fe<\/figcaption><\/figure>\n\n\n\n<p>\u8fd9\u79cd\u201c\u6700\u77ed\u6b63\u786e\u201d\u9009\u62e9\u89c4\u5219\u81ea\u7136\u8ba9\u7b80\u5355\u95ee\u9898\u503e\u5411\u4f4e\u52aa\u529b\uff08\u77ed\u54cd\u5e94\uff09\u3001\u56f0\u96be\u95ee\u9898\u4f9d\u8d56\u9ad8\u52aa\u529b\uff0c\u4ece\u800c\u5728\u6574\u4f53\u4e0a\u5927\u5e45\u51cf\u5c11\u5e73\u5747 token \u6d88\u8017\u3002<\/p>\n\n\n\n<p>\u5b9e\u9a8c\u8868\u660e\uff0c\u57fa\u4e8e Qwen2.5-32B \u7684 TOPS \u6a21\u578b\u5728 GSM8K\uff0895.82%\uff09\u3001MATH500\uff0891.48%\uff09\u7b49\u57fa\u51c6\u4e0a\u8fbe\u5230\u6216\u8d85\u8d8a\u5f53\u524d\u6700\u5f3a\u7684 o1-like \u84b8\u998f\u6a21\u578b\uff0c\u540c\u65f6\u5e73\u5747 token \u663e\u8457\u66f4\u5c11\uff08\u4f8b\u5982 GSM8K \u4ec5\u9700 412 tokens vs. \u57fa\u7ebf 570+\uff09\u3002\u8fed\u4ee3\u7248\u672c\u5728 AIME2024 \u4e0a\u8fdb\u4e00\u6b65\u8fbe\u523046.00%\u7684\u51c6\u786e\u7387\uff0c\u5168\u9762\u8d85\u8d8a\u6559\u5e08\u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u8be5\u7814\u7a76\u4e3a LLMs \u5728\u5546\u4e1a\u573a\u666f\u4e0b\u7684\u9ad8\u6548\u63a8\u7406\u90e8\u7f72\u63d0\u4f9b\u4e86\u5b9e\u7528\u3001\u9ad8\u6548\u4e14\u6613\u5b9e\u73b0\u7684\u65b9\u6848\uff0c\u8bc1\u660e\u4e86\u901a\u8fc7\u81ea\u9009\u62e9\u6700\u77ed\u6b63\u786e\u8def\u5f84\uff0c\u7eaf\u81ea\u56de\u5f52\u6a21\u578b\u5373\u53ef\u5728\u6027\u80fd\u4e0e\u6210\u672c\u95f4\u53d6\u5f97\u6700\u4f18\u5e73\u8861\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"09-\u63ed\u793a\u8bed\u8a00\u6a21\u578b\u7684\u5b66\u4e60\u5fc3\u667a-\u4ece\u8ba4\u77e5\u6846\u67b6\u5230\u5b9e\u8bc1\u7814\u7a76\">09. \u63ed\u793a\u8bed\u8a00\u6a21\u578b\u7684\u5b66\u4e60\u5fc3\u667a\uff1a\u4ece\u8ba4\u77e5\u6846\u67b6\u5230\u5b9e\u8bc1\u7814\u7a76<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"680\" height=\"323\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-17.png\" alt=\"paper screenshot\" class=\"wp-image-1156672\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-17.png 680w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-17-300x143.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-17-240x114.png 240w\" sizes=\"auto, (max-width: 680px) 100vw, 680px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/arxiv.org\/abs\/2506.13464\">https:\/\/arxiv.org\/abs\/2506.13464<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u5c3d\u7ba1 LLMs \u5728\u5404\u7c7b\u4efb\u52a1\u4e2d\u8868\u73b0\u51fa\u5f3a\u5927\u7684\u6267\u884c\u80fd\u529b\uff0c\u4f46\u5176\u901a\u7528\u5b66\u4e60\u80fd\u529b\uff08general learning ability\uff09\uff0c\u5373\u5728\u52a8\u6001\u73af\u5883\u4e2d\u6301\u7eed\u83b7\u53d6\u3001\u6d88\u5316\u548c\u5e94\u7528\u65b0\u77e5\u8bc6\u7684\u80fd\u529b\uff0c\u4ecd\u672a\u88ab\u7cfb\u7edf\u6027\u5730\u7814\u7a76\u3002\u8fd9\u9650\u5236\u4e86\u4eba\u4eec\u7406\u89e3 LLMs \u5982\u4f55\u9002\u5e94\u65b0\u4efb\u52a1\uff0c\u4ee5\u53ca\u6d1e\u5bdf\u5982\u4f55\u6784\u5efa\u66f4\u5177\u7ec8\u8eab\u5b66\u4e60\u7279\u5f81\u7684\u4e0b\u4e00\u4ee3 AI \u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u8be5\u7814\u7a76\u53d7\u8ba4\u77e5\u5fc3\u7406\u5b66\u548c\u6559\u80b2\u7406\u8bba\u542f\u53d1\uff0c\u9996\u6b21\u63d0\u51fa\u4e00\u4e2a\u539f\u5219\u6027\u7684\u8ba4\u77e5\u6846\u67b6\uff0c\u5c06 LLMs \u7684\u5b66\u4e60\u80fd\u529b\u5206\u89e3\u4e3a\u4e09\u4e2a\u4e92\u8865\u7ef4\u5ea6\uff1aLearning from Instructor\uff08LfI\uff0c\u6765\u81ea\u6307\u5bfc\u8005\u5b66\u4e60\uff09\u3001Learning from Concept\uff08LfC\uff0c\u6765\u81ea\u6982\u5ff5\u5b66\u4e60\uff09\u548cLearning from Experience\uff08LfE\uff0c\u6765\u81ea\u7ecf\u9a8c\u5b66\u4e60\uff09\u3002\u8fd9\u4e09\u4e2a\u7ef4\u5ea6\u5206\u522b\u5bf9\u5e94\u4eba\u7c7b\u5b66\u4e60\u7684\u4e09\u5927\u4e3b\u8981\u901a\u9053\uff1a\u5916\u90e8\u6307\u5bfc\u3001\u62bd\u8c61\u6982\u5ff5\u5185\u5316\uff0c\u4ee5\u53ca\u57fa\u4e8e\u7ecf\u9a8c\u8f68\u8ff9\u7684\u81ea\u542f\u53d1\u5b66\u4e60\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"856\" height=\"206\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-18.png\" alt=\"\u56fe9\uff1a\u7528\u4e8e\u8bc4\u4f30 LLMs \u901a\u7528\u5b66\u4e60\u80fd\u529b\u7684\u8ba4\u77e5\u6846\u67b6\u793a\u610f\u56fe\" class=\"wp-image-1156673\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-18.png 856w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-18-300x72.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-18-768x185.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/11\/new-arrival-in-research-33-18-240x58.png 240w\" sizes=\"auto, (max-width: 856px) 100vw, 856px\" \/><figcaption class=\"wp-element-caption\">\u56fe9\uff1a\u7528\u4e8e\u8bc4\u4f30 LLMs \u901a\u7528\u5b66\u4e60\u80fd\u529b\u7684\u8ba4\u77e5\u6846\u67b6\u793a\u610f\u56fe<\/figcaption><\/figure>\n\n\n\n<p>\u4e3a\u9a8c\u8bc1\u6bcf\u4e2a\u5355\u7ef4\u5ea6\u4e0b\u7684\u6a21\u578b\u8868\u73b0\uff0c\u7814\u7a76\u5458\u4eec\u8bbe\u8ba1\u4e86\u9488\u5bf9\u6027\u7684\u5b9e\u9a8c\u8303\u5f0f\uff1a\u5728\u6570\u5b66\u6c42\u89e3\u4e2d\u5bf9\u6bd4\u88ab\u52a8\u4e0e\u4ea4\u4e92\u5f0f\u6307\u5bfc\uff08LfI\uff09\uff1b\u5728\u7ade\u4e89\u6e38\u620f\u548c\u903b\u8f91\u4efb\u52a1\u4e2d\u6ce8\u5165\u89c4\u5219\/\u7b56\u7565\u6a21\u677f\uff08LfC\uff09\uff1b\u5728\u6e38\u620f\u8f68\u8ff9\u548c\u591a\u793a\u4f8b\u4e0a\u4e0b\u6587\u5b66\u4e60\u8bbe\u5b9a\u4e2d\u63d0\u4f9b\u5386\u53f2\u7ecf\u9a8c\uff08LfE\uff09\u3002\u6700\u7ec8\u6574\u5408\u4e3a\u7edf\u4e00\u57fa\u51c6 LearnArena\uff0c\u5e76\u5728\u4e00\u4e2a\u53cc\u4eba\u6e38\u620f\u73af\u5883\u4e2d\u540c\u65f6\u63d0\u4f9b\u6307\u5bfc\u53cd\u9988\u3001\u6982\u5ff5\u6458\u8981\u548c\u7ecf\u9a8c\u793a\u4f8b\uff0c\u4ece\u800c\u8fdb\u884c\u6574\u4f53\u8bc4\u4f30\u3002<\/p>\n\n\n\n<p>\u901a\u8fc7\u5927\u89c4\u6a21\u5b9e\u9a8c\uff08\u6db5\u76d6 Qwen2.5 1.5B\u201372B\u3001LLaMA3.1\u3001Mistral\u3001GPT-4o \u7b49\u6a21\u578b\uff09\uff0c\u8be5\u7814\u7a76\u63ed\u793a\u4e86\u4ee5\u4e0b\u5173\u952e\u89c4\u5f8b\uff1a<\/p>\n\n\n\n<p>1\uff09LfI \u666e\u904d\u6709\u6548\uff1a\u4ea4\u4e92\u5f0f\u6f84\u6e05\u663e\u8457\u4f18\u4e8e\u88ab\u52a8\u6d88\u8d39\uff0c\u5c24\u5176\u5728\u5927\u6a21\u578b\u4e2d\uff1b<\/p>\n\n\n\n<p>2\uff09LfC \u548c LfE 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