{"id":6844,"date":"2026-02-13T10:18:06","date_gmt":"2026-02-13T02:18:06","guid":{"rendered":"https:\/\/nullthought.net\/?p=6844"},"modified":"2026-02-13T10:18:08","modified_gmt":"2026-02-13T02:18:08","slug":"%e8%ae%a9%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%e5%bd%93%e8%a3%81%e5%88%a4%e8%af%84%e5%88%a4%e5%85%b1%e6%83%85%ef%bc%88empathic%ef%bc%89","status":"publish","type":"post","link":"https:\/\/nullthought.net\/?p=6844","title":{"rendered":"\u8ba9\u5927\u8bed\u8a00\u6a21\u578b\u5f53\u201c\u88c1\u5224\u201d\u8bc4\u5224\u201c\u5171\u60c5\uff08empathic\uff09\u201d"},"content":{"rendered":"\n<p>\u8bba\u6587<strong><a href=\"https:\/\/www.nature.com\/articles\/s42256-025-01169-6\" target=\"_blank\" rel=\"noreferrer noopener\">When large language models are reliable for judging empathic communication<\/a><\/strong>\u60f3\u56de\u7b54\u4e00\u4e2a\u5f88\u73b0\u5b9e\u7684\u95ee\u9898\uff1a\u6211\u4eec\u80fd\u4e0d\u80fd\u8ba9\u5927\u8bed\u8a00\u6a21\u578b\u5f53\u201c\u88c1\u5224\u201d\uff0c\u53bb\u8bc4\u5224\u4e00\u6bb5\u5bf9\u8bdd\u91cc\u6709\u6ca1\u6709\u201c\u5171\u60c5\u201d\u3001\u5171\u60c5\u505a\u5f97\u597d\u4e0d\u597d\uff1f\u5f88\u591a\u4eba\u5df2\u7ecf\u5728\u7528\u201cLLM-as-judge\u201d\u505a\u8bc4\u6d4b\u4e86\uff0c\u4f46\u5171\u60c5\u8fd9\u79cd\u4e1c\u897f\u672c\u6765\u5c31\u5f88\u4e3b\u89c2\uff0c\u4e0d\u540c\u4eba\u770b\u540c\u4e00\u53e5\u8bdd\u53ef\u80fd\u4f1a\u7ed9\u4e0d\u540c\u5206\u6570\u3002\u4f5c\u8005\u7684\u6838\u5fc3\u89c2\u70b9\u662f\uff1a\u522b\u6025\u7740\u628a\u6a21\u578b\u5206\u6570\u5f53\u771f\uff0c\u5148\u641e\u6e05\u695a\u2014\u2014\u5728\u4ec0\u4e48\u6761\u4ef6\u4e0b\uff0c\u6a21\u578b\u7684\u5224\u65ad\u624d\u7b97\u201c\u53ef\u9760\u201d\u3002<\/p>\n\n\n\n<p>\u4ed6\u4eec\u505a\u6cd5\u5f88\u76f4\u63a5\uff1a\u6311\u4e86\u56db\u5957\u5e38\u89c1\u7684\u5171\u60c5\u8bc4\u4f30\u6846\u67b6\/\u6570\u636e\u96c6\uff0c\u8986\u76d6\u4e0d\u540c\u8bed\u5883\uff08\u6bd4\u5982\u804a\u5929\u5f0f\u5b89\u6170\u3001\u5fc3\u7406\u652f\u6301\u5f0f\u56de\u590d\u3001\u4ee5\u53ca\u4ed6\u4eec\u81ea\u5df1\u505a\u7684\u4e00\u4e2a\u201c\u503e\u542c\u540c\u4e8b\u804c\u573a\u56f0\u6270\u201d\u7684\u5bf9\u8bdd\u6570\u636e\uff09\u3002\u6bcf\u5957\u91cc\u62bd\u53d6\u4e00\u5b9a\u6570\u91cf\u7684\u5bf9\u8bdd\u7247\u6bb5\uff0c\u8ba9\u4e09\u7c7b\u201c\u88c1\u5224\u201d\u6765\u6253\u5206\uff1a\u4e00\u7c7b\u662f\u9886\u57df\u4e13\u5bb6\uff08\u4f20\u64ad\u5b66\/\u793e\u4f1a\u652f\u6301\u7814\u7a76\u8005\uff09\uff0c\u4e00\u7c7b\u662f\u4f17\u5305\u6807\u6ce8\u8005\uff08\u666e\u901a\u4eba\uff09\uff0c\u53e6\u4e00\u7c7b\u662f\u5927\u8bed\u8a00\u6a21\u578b\u3002\u7136\u540e\u4ed6\u4eec\u4e0d\u53ea\u770b\u201c\u6a21\u578b\u5bf9\u4e0d\u5bf9\u201d\uff0c\u66f4\u770b\u201c\u5927\u5bb6\u5f7c\u6b64\u4e00\u81f4\u4e0d\u4e00\u81f4\u201d\uff1a\u4e13\u5bb6\u4e4b\u95f4\u80fd\u4e0d\u80fd\u8fbe\u6210\u4e00\u81f4\uff1f\u6a21\u578b\u548c\u4e13\u5bb6\u7684\u4e00\u81f4\u6027\u6709\u591a\u9ad8\uff1f\u4f17\u5305\u548c\u4e13\u5bb6\u662f\u4e0d\u662f\u540c\u4e00\u5957\u6807\u51c6\uff1f<\/p>\n\n\n\n<p>\u7ed3\u679c\u6709\u51e0\u4e2a\u91cd\u8981\u53d1\u73b0\u3002\u7b2c\u4e00\uff0c\u4e13\u5bb6\u4e4b\u95f4\u7684\u4e00\u81f4\u6027\u5e76\u4e0d\u5b8c\u7f8e\uff1a\u6709\u4e9b\u7ef4\u5ea6\u4e13\u5bb6\u4e5f\u4f1a\u5206\u6b67\u5f88\u5927\uff0c\u8fd9\u8bf4\u660e\u201c\u5171\u60c5\u8bc4\u4f30\u201d\u672c\u8eab\u5c31\u5b58\u5728\u96be\u70b9\uff0c\u4e0d\u80fd\u5047\u88c5\u6709\u552f\u4e00\u6b63\u786e\u7b54\u6848\u3002\u7b2c\u4e8c\uff0c\u53ea\u8981\u628a\u8bc4\u4f30\u6846\u67b6\u8bb2\u6e05\u695a\uff0c\u5e76\u7ed9\u6a21\u578b\u5c11\u91cf\u9ad8\u8d28\u91cf\u793a\u4f8b\uff08few-shot\uff09\uff0c\u6a21\u578b\u548c\u4e13\u5bb6\u7684\u6253\u5206\u4e00\u81f4\u6027\u53ef\u4ee5\u505a\u5230\u63a5\u8fd1\u751a\u81f3\u8fbe\u5230\u4e13\u5bb6\u4e4b\u95f4\u7684\u6c34\u5e73\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u5728\u5f88\u591a\u201c\u53ef\u89c2\u5bdf\u3001\u5b9a\u4e49\u6e05\u6670\u201d\u7684\u5171\u60c5\u884c\u4e3a\u4e0a\uff0cLLM\u5f53\u88c1\u5224\u662f\u53ef\u7528\u7684\u3002\u7b2c\u4e09\uff0c\u4f17\u5305\u6807\u6ce8\u5f80\u5f80\u6bd4\u4e13\u5bb6\u7ed9\u66f4\u9ad8\u7684\u5171\u60c5\u5206\uff0c\u8bba\u6587\u628a\u5b83\u79f0\u4e3a\u201c\u5171\u60c5\u901a\u80c0\u201d\uff1a\u666e\u901a\u6807\u6ce8\u8005\u66f4\u5bb9\u6613\u89c9\u5f97\u201c\u770b\u8d77\u6765\u633a\u53cb\u5584\u201d\u5c31\u662f\u9ad8\u5171\u60c5\uff0c\u4f46\u8fd9\u79cd\u5bbd\u677e\u6807\u51c6\u672a\u5fc5\u7b26\u5408\u7814\u7a76\u6216\u4e34\u5e8a\u610f\u4e49\u4e0a\u7684\u5171\u60c5\u5b9a\u4e49\u3002<\/p>\n\n\n\n<p>\u4f5c\u8005\u8fd8\u603b\u7ed3\u4e86\u4e00\u4e2a\u5f88\u5b9e\u7528\u7684\u89c4\u5f8b\uff1a\u54ea\u4e9b\u7ef4\u5ea6\u66f4\u53ef\u9760\uff1f\u901a\u5e38\u662f\u90a3\u4e9b\u6709\u660e\u663e\u8bed\u8a00\u7ebf\u7d22\u3001\u5bb9\u6613\u201c\u770b\u5f97\u89c1\u201d\u7684\u884c\u4e3a\uff0c\u6bd4\u5982\u201c\u6709\u6ca1\u6709\u9f13\u52b1\u5bf9\u65b9\u591a\u8bf4\u201d\u201c\u6709\u6ca1\u6709\u63d0\u5f00\u653e\u5f0f\u95ee\u9898\u201d\u201c\u6709\u6ca1\u6709\u7ed9\u51fa\u5177\u4f53\u5efa\u8bae\u201d\u7b49\uff1b\u54ea\u4e9b\u7ef4\u5ea6\u66f4\u4e0d\u53ef\u9760\uff1f\u5f80\u5f80\u662f\u9700\u8981\u731c\u6d4b\u610f\u56fe\u6216\u5185\u5fc3\u72b6\u6001\u7684\uff0c\u6bd4\u5982\u201c\u662f\u5426\u771f\u6b63\u7406\u89e3\u5bf9\u65b9\u201d\u201c\u662f\u5426\u5728\u6de1\u5316\/\u5426\u5b9a\u60c5\u7eea\u201d\u201c\u662f\u5426\u5728\u505a\u8fc7\u5ea6\u89e3\u91ca\u201d\u7b49\uff0c\u8fd9\u4e9b\u5c31\u7b97\u4e13\u5bb6\u4e5f\u96be\u4e00\u81f4\uff0c\u6a21\u578b\u81ea\u7136\u4e5f\u66f4\u96be\u7a33\u5b9a\u3002<\/p>\n\n\n\n<p>\u6700\u540e\uff0c\u8bba\u6587\u7ed9\u51fa\u5b9e\u8df5\u5efa\u8bae\uff1a\u505a\u8fd9\u79cd\u8bc4\u6d4b\u65f6\u522b\u53ea\u62a5F1\u8fd9\u7c7b\u7b80\u5355\u5bf9\u9519\u6307\u6807\uff0c\u5e94\u8be5\u4f18\u5148\u62a5\u544a\u4e00\u81f4\u6027\u6307\u6807\uff08\u4f8b\u5982kappa\u3001alpha\uff09\uff0c\u5e76\u5148\u6d4b\u4e13\u5bb6\u4e00\u81f4\u6027\u4f5c\u4e3a\u201c\u4efb\u52a1\u96be\u5ea6\u201d\u7684\u53c2\u7167\uff1b\u5982\u679c\u4e13\u5bb6\u81ea\u5df1\u90fd\u5f88\u96be\u8fbe\u6210\u4e00\u81f4\uff0c\u5c31\u5e94\u8be5\u5148\u6539\u8fdb\u7ef4\u5ea6\u5b9a\u4e49\u6216\u6807\u6ce8\u89c4\u8303\uff0c\u800c\u4e0d\u662f\u6307\u671b\u6a21\u578b\u7ed9\u51fa\u201c\u6807\u51c6\u7b54\u6848\u201d\u3002\u603b\u4f53\u7ed3\u8bba\u662f\uff1aLLM\u53ef\u4ee5\u5728\u5f88\u591a\u5171\u60c5\u6c9f\u901a\u7ef4\u5ea6\u4e0a\u4f5c\u4e3a\u53ef\u9760\u8bc4\u5ba1\uff0c\u4f46\u524d\u63d0\u662f\u6846\u67b6\u8981\u6e05\u6670\u3001\u793a\u4f8b\u8981\u597d\uff0c\u800c\u4e14\u8981\u627f\u8ba4\u5171\u60c5\u8bc4\u4f30\u5b58\u5728\u5408\u7406\u5206\u6b67\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8bba\u6587When large language models are reliable for judging e [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[8],"tags":[39,86],"class_list":["post-6844","post","type-post","status-publish","format-standard","hentry","category-tech","tag-ai","tag-llm"],"rttpg_featured_image_url":null,"rttpg_author":{"display_name":"NullThought","author_link":"https:\/\/nullthought.net\/?author=1"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/nullthought.net\/?cat=8\" rel=\"category\">Tech<\/a>","rttpg_excerpt":"\u8bba\u6587When large language models are reliable for judging e&hellip;","_links":{"self":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/6844","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6844"}],"version-history":[{"count":1,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/6844\/revisions"}],"predecessor-version":[{"id":6845,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/6844\/revisions\/6845"}],"wp:attachment":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6844"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6844"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6844"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}