{"id":3243257,"date":"2026-08-22T18:45:31","date_gmt":"2026-08-22T10:45:31","guid":{"rendered":"http:\/\/www.nlpir.org\/wordpress\/?p=3243257"},"modified":"2026-08-31T11:15:28","modified_gmt":"2026-08-31T03:15:28","slug":"nlpir%e5%ae%9e%e9%aa%8c%e5%ae%a4%e5%a4%9a%e7%af%87%e8%ae%ba%e6%96%87%e8%a2%abemnlp2026%e5%bd%95%e7%94%a8","status":"publish","type":"post","link":"http:\/\/www.nlpir.org\/wordpress\/2026\/08\/22\/nlpir%e5%ae%9e%e9%aa%8c%e5%ae%a4%e5%a4%9a%e7%af%87%e8%ae%ba%e6%96%87%e8%a2%abemnlp2026%e5%bd%95%e7%94%a8\/","title":{"rendered":"NLPIR\u5b9e\u9a8c\u5ba4\u591a\u7bc7\u8bba\u6587\u88abEMNLP2026\u5f55\u7528"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3243257\" class=\"elementor elementor-3243257\">\n\t\t\t\t<div class=\"elementor-element elementor-element-aa06798 e-flex e-con-boxed e-con e-parent\" data-id=\"aa06798\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-21aa0170 elementor-widget elementor-widget-text-editor\" data-id=\"21aa0170\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n<p class=\"wp-block-paragraph\"><strong>\u5feb\u8baf<\/strong><\/p>\n\n<p class=\"wp-block-paragraph\">\u8fd1\u65e5\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\u56fd\u9645\u9876\u7ea7\u4f1a\u8bae Conference on Empirical Methods in Natural Language Processing\uff08EMNLP\uff09\u516c\u5e03\u8bba\u6587\u5f55\u7528\u7ed3\u679c\uff0cNLPIR\u5b9e\u9a8c\u5ba4\u5171\u67094\u7bc7\u8bba\u6587\u88ab\u63a5\u6536\u3002\u76f8\u5173\u7814\u7a76\u8986\u76d6\u5927\u8bed\u8a00\u6a21\u578b\u63a8\u7406\u3001\u97f3\u9891\u8bed\u8a00\u6a21\u578b\u3001\u591a\u6a21\u6001\u7406\u89e3\u3001\u65f6\u95f4\u8ba4\u77e5\u63a8\u7406\u3001\u5f00\u653e\u5173\u7cfb\u62bd\u53d6\u7b49\u65b9\u5411\uff0c\u5c55\u73b0\u4e86\u5b9e\u9a8c\u5ba4\u5728\u8ba4\u77e5\u667a\u80fd\u3001\u5927\u6a21\u578b\u4e0e\u591a\u6a21\u6001\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u6301\u7eed\u63a2\u7d22\u4e0e\u521b\u65b0\u80fd\u529b\u3002\u4ee5\u4e0b\u4e3a\u5165\u9009\u8bba\u6587\u4ecb\u7ecd\u3002<\/p>\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-8f761849 wp-block-group-is-layout-flex\">\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u4e00<\/strong><\/p>\n<\/div>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u9898\u76ee\uff1a<\/strong>Is the Future Predictable? Modeling Future Predictability for Reliable Temporal Reasoning<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u4f5c\u8005\uff1a<\/strong>\u9ec4\u548f\u4eea \u5f20\u534e\u5e73 \u5d14\u6587\u8000 \u674e\u79cb\u6c60 \u674e\u78ca \u5f20\u5b9d\u534e<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u4f5c\u8005\u5355\u4f4d\uff1a<\/strong>\u5317\u4eac\u7406\u5de5\u5927\u5b66<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u6982\u8ff0\uff1a<\/strong>\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u5728\u8fdb\u884c\u672a\u6765\u63a8\u7406\u65f6\u4ecd\u7136\u5b58\u5728\u53ef\u9760\u6027\u4e0d\u8db3\u7684\u95ee\u9898\u3002\u73b0\u6709\u6a21\u578b\u901a\u5e38\u5ffd\u89c6\u4e0d\u540c\u672a\u6765\u72b6\u6001\u4e4b\u95f4\u7684\u5dee\u5f02\uff0c\u5373\u4f7f\u6240\u67e5\u8be2\u7684\u4e8b\u5b9e\u672c\u8eab\u5177\u6709\u9ad8\u5ea6\u4e0d\u786e\u5b9a\u6027\uff0c\u6a21\u578b\u4ecd\u7136\u4f1a\u7ed9\u51fa\u786e\u5b9a\u6027\u7684\u7b54\u6848\u3002\u4e3a\u5e94\u5bf9\u8fd9\u4e00\u6311\u6218\uff0c\u672c\u6587\u63d0\u51fa\u4e86 ChronoRegime\uff0c\u4e00\u79cd\u9762\u5411\u672a\u6765\u7684\u65f6\u95f4\u63a8\u7406\u4efb\u52a1\uff0c\u8981\u6c42\u6a21\u578b\u5224\u65ad\uff1a\u5df2\u6709\u7684\u5386\u53f2\u65f6\u95f4\u8bc1\u636e\u662f\u5426\u8db3\u4ee5\u652f\u6301\u5bf9\u672a\u6765\u7b54\u6848\u505a\u51fa\u786e\u5b9a\u6027\u5224\u65ad\u3002\u6b64\u5916\uff0c\u672c\u6587\u63d0\u51fa\u4e86 \u7f6e\u4fe1\u611f\u77e5\u65f6\u95f4\u63a8\u7406\u6846\u67b6\uff08Confidence-Aware Temporal Reasoning, CTR\uff09\u3002\u8be5\u6846\u67b6\u901a\u8fc7\u5206\u6790\u65f6\u95f4\u6f14\u5316\u89c4\u5f8b\u6765\u8bc4\u4f30\u672a\u6765\u72b6\u6001\u7684\u53ef\u9884\u6d4b\u6027\uff0c\u5e76\u636e\u6b64\u8c03\u8282\u6a21\u578b\u662f\u5426\u5e94\u8be5\u5bf9\u7b54\u6848\u505a\u51fa\u627f\u8bfa\u3002\u4e0e\u65e0\u6761\u4ef6\u5730\u8fdb\u884c\u672a\u6765\u9884\u6d4b\u4e0d\u540c\uff0cCTR\u4ec5\u5728\u91cd\u6784\u540e\u7684\u8bc1\u636e\u80fd\u591f\u652f\u6301\u76ee\u6807\u672a\u6765\u72b6\u6001\u65f6\u624d\u7ed9\u51fa\u786e\u5b9a\u6027\u9884\u6d4b\u3002\u5728\u591a\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\u4e0a\u7684\u5b9e\u9a8c\u8868\u660e\uff0c\u4e0e\u666e\u901a\u95ee\u7b54\u57fa\u7ebf\u65b9\u6cd5\u76f8\u6bd4\uff0cCTR\u4f7f\u4e25\u683c\u603b\u4f53\u51c6\u786e\u7387\u5e73\u5747\u63d0\u5347 6.7\u4e2a\u767e\u5206\u70b9\uff0c\u5e76\u4f7f\u5e7b\u89c9\u7387\u5e73\u5747\u964d\u4f4e 18.4\u4e2a\u767e\u5206\u70b9\u3002\u5b9e\u9a8c\u7ed3\u679c\u8bc1\u660e\uff0c\u663e\u5f0f\u8bc4\u4f30\u672a\u6765\u4e8b\u4ef6\u7684\u53ef\u9884\u6d4b\u6027\uff0c\u662f\u63d0\u5347\u672a\u6765\u4e0d\u786e\u5b9a\u73af\u5883\u4e0b\u65f6\u95f4\u63a8\u7406\u5b89\u5168\u6027\u548c\u53ef\u9760\u6027\u7684\u6709\u6548\u673a\u5236\u3002<\/p>\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-3244479 size-full\" src=\"http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/image.png\" alt=\"\" width=\"1071\" height=\"913\" srcset=\"http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/image.png 1071w, http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/image-300x256.png 300w, http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/image-1024x873.png 1024w, http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/image-768x655.png 768w\" sizes=\"(max-width: 1071px) 100vw, 1071px\" \/><\/figure>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u4e8c<\/strong><\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u9898\u76ee\uff1a<\/strong>Learning to Explore the Crux in Formal Theorem Proving<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u4f5c\u8005\uff1a<\/strong>\u674e\u6797\u7ff0 \u5d14\u6587\u8000 \u5f20\u516c\u94ce \u987e\u7acb\u5b8f \u5468\u7433 \u5546\u5efa\u4e91 \u5f20\u534e\u5e73<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u4f5c\u8005\u5355\u4f4d\uff1a<\/strong>\u5317\u4eac\u7406\u5de5\u5927\u5b66\u3001\u8682\u8681\u96c6\u56e2<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u6982\u8ff0\uff1a<\/strong>\u4f5c\u8005\u63d0\u51fa\u4e86\u4e00\u79cd\u9762\u5411\u5f62\u5f0f\u5316\u5b9a\u7406\u8bc1\u660e\u7684\u57fa\u4e8e\u71b5\u7684\u6700\u4f73\u4f18\u5148\u641c\u7d22\u7b97\u6cd5\uff08Entropy-Based Best-First Search, EBFS\uff09\uff0c\u9488\u5bf9Lean\u5f62\u5f0f\u5316\u8bc1\u660e\u8fc7\u7a0b\u4e2d\u4e0d\u540c\u63a8\u7406\u6b65\u9aa4\u96be\u5ea6\u548c\u91cd\u8981\u6027\u4e0d\u5747\u8861\u7684\u95ee\u9898\uff0c\u4ece\u71b5\u7684\u89c6\u89d2\u8bc6\u522b\u8bc1\u660e\u6811\u4e2d\u66f4\u503c\u5f97\u63a2\u7d22\u7684\u5173\u952e\u6b65\u9aa4\uff0c\u5e76\u636e\u6b64\u4f18\u5316\u8bc1\u660e\u641c\u7d22\u8fc7\u7a0b\uff0c\u4f7f\u8bc1\u660e\u751f\u6210\u6a21\u578b\u80fd\u591f\u5728\u6709\u9650\u641c\u7d22\u9884\u7b97\u4e0b\u66f4\u9ad8\u6548\u5730\u63a2\u7d22\u8bc1\u660e\u7a7a\u95f4\uff0c\u63d0\u9ad8\u627e\u5230\u6b63\u786e\u8bc1\u660e\u7684\u6982\u7387\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u4f5c\u8005\u8fdb\u4e00\u6b65\u63d0\u51fa\u4e86\u9762\u5411\u8bc1\u660e\u6811\u641c\u7d22\u7684\u5f3a\u5316\u5fae\u8c03\u65b9\u6cd5\uff0c\u5e76\u5728\u751f\u6210\u9636\u6bb5\u7ed3\u5408EBFS\u8fdb\u4e00\u6b65\u63d0\u5347\u6a21\u578b\u7684\u5f62\u5f0f\u5316\u8bc1\u660e\u80fd\u529b\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5728\u76f8\u540c\u91c7\u6837\u9884\u7b97\u4e0b\uff0c\u8be5\u65b9\u6cd5\u76f8\u8f83\u4e8e\u5b8c\u6574\u8bc1\u660e\u751f\u6210\u57fa\u7ebf\uff0c\u5728ProofNet\u6d4b\u8bd5\u96c6\u4e0a\u63d0\u53473.2%\uff0c\u5e76\u5728MiniF2F\u548cProverBench\u4e0a\u5206\u522b\u63d0\u53471.9%\u548c1.5%\uff0c\u9a8c\u8bc1\u4e86\u8be5\u65b9\u6cd5\u5728\u5f62\u5f0f\u5316\u5b9a\u7406\u8bc1\u660e\u641c\u7d22\u6548\u7387\u548c\u8bc1\u660e\u6210\u529f\u7387\u65b9\u9762\u7684\u6709\u6548\u6027\u3002<\/p>\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" class=\"aligncenter wp-image-3244482 size-full\" src=\"http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/image-1.png\" alt=\"\" width=\"1018\" height=\"654\" srcset=\"http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/image-1.png 1018w, http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/image-1-300x193.png 300w, http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/image-1-768x493.png 768w\" sizes=\"(max-width: 1018px) 100vw, 1018px\" \/><\/figure>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u4e09<\/strong><\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u9898\u76ee<\/strong>\uff1aModality-Specific Gating for Large Audio-Language Models<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u4f5c\u8005\uff1a<\/strong>\u4efb\u73cd\u59ae \u738b\u5a1f \u674e\u79cb\u6c60 \u674e\u78ca \u9ad8\u6625\u6653 \u5f20\u5b9d\u534e \u5f20\u534e\u5e73<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u4f5c\u8005\u5355\u4f4d\uff1a<\/strong>\u5317\u4eac\u7406\u5de5\u5927\u5b66<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u6982\u8ff0\uff1a<\/strong>\u5927\u578b\u97f3\u9891\u8bed\u8a00\u6a21\u578b\uff08Large Audio-Language Models, LALMs\uff09\u8fd1\u5e74\u6765\u5728\u97f3\u9891-\u6587\u672c\u6307\u4ee4\u7406\u89e3\u548c\u591a\u6a21\u6001\u4ea4\u4e92\u65b9\u9762\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u5c55\u3002\u7136\u800c\uff0c\u7531\u4e8e\u5176\u91c7\u7528\u6587\u672c\u6761\u4ef6\u751f\u6210\u67b6\u6784\uff0c\u5f53\u524d\u7684LALM\u5f80\u5f80\u4f1a\u53d7\u5230\u8f93\u5165\u6587\u672c\u63d0\u793a\u7684\u8fc7\u5ea6\u5f71\u54cd\u3002\u5f53\u58f0\u5b66\u8bc1\u636e\u4e0e\u6587\u672c\u63d0\u793a\u53d1\u751f\u51b2\u7a81\u65f6\uff0c\u9519\u8bef\u6216\u65e0\u5173\u7684\u6587\u672c\u4fe1\u606f\u53ef\u80fd\u4f1a\u5f15\u5bfc\u6a21\u578b\u504f\u79bb\u771f\u5b9e\u7684\u97f3\u9891\u5185\u5bb9\uff0c\u5bfc\u81f4\u9884\u6d4b\u7ed3\u679c\u9519\u8bef\u3002\u672c\u6587\u7cfb\u7edf\u5206\u6790\u4e86\u8fd9\u4e00\u95ee\u9898\uff0c\u5e76\u53d1\u73b0\u5177\u6709\u4ee3\u8868\u6027\u7684LALM\u5728\u751f\u6210\u8fc7\u7a0b\u4e2d\u5b58\u5728\u6301\u7eed\u6027\u7684\u97f3\u9891-\u6587\u672c\u6a21\u6001\u5931\u8861\u73b0\u8c61\uff1a\u968f\u7740\u751f\u6210\u6b65\u9aa4\u63a8\u8fdb\uff0c\u6a21\u578b\u5bf9\u97f3\u9891token\u7684\u5173\u6ce8\u7a0b\u5ea6\u9010\u6e10\u51cf\u5f31\u3002\u4e3a\u89e3\u51b3\u8fd9\u4e00\u5931\u8861\u95ee\u9898\uff0c\u672c\u6587\u63d0\u51fa\u4e86\u6a21\u6001\u7279\u5b9a\u95e8\u63a7\u673a\u5236\uff08Modality-Specific Gating, MSG\uff09\u3002\u8be5\u65b9\u6cd5\u662f\u4e00\u79cd\u58f0\u5b66\u6821\u51c6\u673a\u5236\uff0c\u4ec5\u5f15\u5165\u5c11\u91cf\u989d\u5916\u53c2\u6570\uff0c\u5373\u53ef\u589e\u5f3a\u6a21\u578b\u5bf9\u97f3\u9891\u4fe1\u606f\u7684\u611f\u77e5\u80fd\u529b\u3002\u5177\u4f53\u800c\u8a00\uff0cMSG\u5728softmax\u8ba1\u7b97\u4e4b\u524d\uff0c\u9488\u5bf9\u97f3\u9891token\u7684\u6ce8\u610f\u529blogit\u5f15\u5165\u4e00\u79cd\u57fa\u4e8e\u67e5\u8be2\u6761\u4ef6\uff08query-conditioned\uff09\u7684\u9010token\u504f\u7f6e\uff08token-wise bias\uff09\uff0c\u4ece\u800c\u63d0\u5347\u97f3\u9891\u4fe1\u606f\u5728\u6ce8\u610f\u529b\u8ba1\u7b97\u4e2d\u7684\u6743\u91cd\uff0c\u540c\u65f6\u4fdd\u6301\u539f\u6709\u6ce8\u610f\u529b\u8ba1\u7b97\u8fc7\u7a0b\u4e0d\u53d8\u3002\u901a\u8fc7\u53c2\u6570\u9ad8\u6548\u5fae\u8c03\uff08parameter-efficient fine-tuning\uff09\uff0cMSG\u80fd\u591f\u589e\u5f3a\u6a21\u578b\u5bf9\u58f0\u5b66\u8bc1\u636e\u7684\u5229\u7528\u80fd\u529b\uff0c\u4f7f\u5176\u5728\u58f0\u97f3\u5206\u7c7b\uff08vocal sound classification\uff09\u548c\u8bed\u97f3\u60c5\u611f\u8bc6\u522b\uff08speech emotion recognition\uff09\u4efb\u52a1\u4e2d\u6301\u7eed\u83b7\u5f97\u6027\u80fd\u63d0\u5347\uff0c\u5e76\u4e14\u5728\u9762\u5bf9\u5bf9\u6297\u6027\u6587\u672c\u63d0\u793a\u6216\u65e0\u5173\u6587\u672c\u63d0\u793a\u65f6\u8868\u73b0\u51fa\u66f4\u5f3a\u7684\u9c81\u68d2\u6027\u3002<\/p>\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" class=\"aligncenter wp-image-3244612 size-full\" src=\"http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/768c07b6-5776-43dd-ac25-4e23fe4a970d.png\" alt=\"\" width=\"1200\" height=\"526\" srcset=\"http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/768c07b6-5776-43dd-ac25-4e23fe4a970d.png 1200w, http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/768c07b6-5776-43dd-ac25-4e23fe4a970d-300x132.png 300w, http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/768c07b6-5776-43dd-ac25-4e23fe4a970d-1024x449.png 1024w, http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/768c07b6-5776-43dd-ac25-4e23fe4a970d-768x337.png 768w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/figure>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u56db<\/strong><\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u9898\u76ee\uff1a<\/strong>Distributional Recalibration for Zero-Shot Relation Extraction<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u4f5c\u8005\uff1a<\/strong>\u5218\u6c38\u946b \u5f20\u534e\u5e73 \u674e\u79cb\u6c60 \u674e\u78ca \u9ad8\u6625\u6653 \u5415\u6d69\u6210 \u4e25\u82e5\u8c6a \u5f20\u5b9d\u534e<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u4f5c\u8005\u5355\u4f4d\uff1a<\/strong>\u5317\u4eac\u7406\u5de5\u5927\u5b66 \u65b0\u7586\u5927\u5b66<\/p>\n\n<p class=\"wp-block-paragraph\"><strong>\u8bba\u6587\u6982\u8ff0\uff1a<\/strong>\u57fa\u4e8e\u8054\u5408\u7f16\u7801\uff08joint-encoding\uff09\u7684\u96f6\u6837\u672c\u5173\u7cfb\u62bd\u53d6\u65b9\u6cd5\u80fd\u591f\u5728\u4e00\u6b21Transformer\u524d\u5411\u4f20\u64ad\u4e2d\u5bf9\u6240\u6709\u5019\u9009\u5173\u7cfb\u6807\u7b7e\u8fdb\u884c\u5206\u7c7b\uff0c\u56e0\u6b64\u517c\u5177\u8f83\u9ad8\u7684\u51c6\u786e\u7387\u548c\u63a8\u7406\u6548\u7387\u3002\u7136\u800c\uff0c\u5728\u5b8c\u6574\u5173\u7cfb\u8bcd\u8868\u89c4\u6a21\uff08full-vocabulary scale\uff09\u4e0b\uff0c\u8be5\u65b9\u6cd5\u4f1a\u66b4\u9732\u51fa\u4e24\u7c7b\u5206\u5e03\u6027\u95ee\u9898\uff1a\u4e00\u65b9\u9762\uff0c\u672a\u5f52\u4e00\u5316\u7684\u70b9\u79ef\u8bc4\u5206\uff08unnormalized dot-product scoring\uff09\u4f1a\u5bfc\u81f4\u53ec\u56de\u574d\u7f29\uff08recall collapse\uff09\uff0c\u4f7f\u90e8\u5206\u5173\u7cfb\u7c7b\u578b\u65e0\u6cd5\u88ab\u6a21\u578b\u9884\u6d4b\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u5b9e\u4f8b\u7ea7\u4e8c\u5143\u4ea4\u53c9\u71b5\u635f\u5931\uff08per-instance BCE loss\uff09\u4f1a\u5bfc\u81f4\u771f\u5b9e\u7c7b\u522b\u4e0e\u8d1f\u7c7b\u522b\u8bc4\u5206\u5206\u5e03\u4e25\u91cd\u6df7\u53e0\uff0c\u96be\u4ee5\u786e\u5b9a\u53ef\u9760\u9608\u503c\uff0c\u9020\u6210\u7f6e\u4fe1\u5ea6\u6b67\u4e49\uff08confidence ambiguity\uff09\u3002\u9488\u5bf9\u4e0a\u8ff0\u95ee\u9898\uff0c\u672c\u6587\u63d0\u51fa\u4e86SCAR\uff08Stabilized Cascade and Alignment for Robust joint-encoding ZSRE\uff09\u65b9\u6cd5\u3002\u8be5\u65b9\u6cd5\u4fdd\u6301\u539f\u6709\u57fa\u7ebf\u6a21\u578b\u7ed3\u6784\u4e0d\u53d8\uff0c\u901a\u8fc7\u4e24\u4e2a\u7ecf\u8fc7\u7a33\u5b9a\u5316\u8bbe\u8ba1\u7684\u8f85\u52a9\u5206\u652f\u5bf9\u8bc4\u5206\u5206\u5e03\u548c\u8868\u793a\u5206\u5e03\u8fdb\u884c\u91cd\u65b0\u6821\u51c6\uff1a\u4e00\u662f\u57fa\u4e8e\u68af\u5ea6\u9694\u79bb\u7684\u7c97\u5230\u7ec6\u7ea7\u8054\u6a21\u5757\uff0c\u901a\u8fc7Z-score\u5f52\u4e00\u5316\u8c03\u6574\u5173\u7cfb\u8bc4\u5206\u5206\u5e03\uff0c\u7f13\u89e3\u53ec\u56de\u574d\u7f29\u95ee\u9898\uff1b\u4e8c\u662f\u4ec5\u7528\u4e8e\u8bad\u7ec3\u9636\u6bb5\u7684\u5bf9\u6bd4\u5bf9\u9f50\u6a21\u5757\uff0c\u901a\u8fc7\u4f18\u5316\u5173\u7cfb\u8868\u793a\u7a7a\u95f4\uff0c\u63d0\u9ad8\u4e0d\u540c\u5173\u7cfb\u7c7b\u522b\u4e4b\u95f4\u7684\u533a\u5206\u80fd\u529b\u3002\u5728Wiki-ZSL\u6570\u636e\u96c6\uff08\u5019\u9009\u5173\u7cfb\u6570\u91cf m=15\uff09\u4e0a\u7684\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cSCAR\u5c06Macro F1\u6307\u6807\u4ece75.9%\u63d0\u5347\u81f383.0%\uff0c\u5e76\u5c06\u96f6\u53ec\u56de\u5173\u7cfb\u7c7b\u578b\u6570\u91cf\u4ece35\u7c7b\u964d\u4f4e\u81f31\u7c7b\u3002\u5b9e\u9a8c\u7ed3\u679c\u8bf4\u660e\uff0c\u4f20\u7edf\u7684\u5c0f\u89c4\u6a21\u5019\u9009\u5173\u7cfb\u8bc4\u6d4b\u534f\u8bae\u53ef\u80fd\u4f1a\u63a9\u76d6\u5927\u89c4\u6a21\u5173\u7cfb\u8bcd\u8868\u90e8\u7f72\u4e2d\u7684\u5173\u952e\u5931\u6548\u6a21\u5f0f\uff0c\u800cSCAR\u80fd\u591f\u6709\u6548\u63d0\u5347\u96f6\u6837\u672c\u5173\u7cfb\u62bd\u53d6\u65b9\u6cd5\u5728\u5f00\u653e\u73af\u5883\u4e0b\u7684\u7a33\u5b9a\u6027\u548c\u53ef\u9760\u6027\u3002<\/p>\n\n<figure class=\"wp-block-image\"><\/figure>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3244619 size-full\" src=\"http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/6cfd56e1-ea23-4989-9dd1-e2136e1b3c06.png\" alt=\"\" width=\"1200\" height=\"731\" srcset=\"http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/6cfd56e1-ea23-4989-9dd1-e2136e1b3c06.png 1200w, http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/6cfd56e1-ea23-4989-9dd1-e2136e1b3c06-300x183.png 300w, http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/6cfd56e1-ea23-4989-9dd1-e2136e1b3c06-1024x624.png 1024w, http:\/\/www.nlpir.org\/wordpress\/wp-content\/uploads\/2026\/08\/6cfd56e1-ea23-4989-9dd1-e2136e1b3c06-768x468.png 768w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\u5feb\u8baf \u8fd1\u65e5\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\u56fd\u9645\u9876\u7ea7\u4f1a\u8bae Conference on Empir &hellip; <a href=\"http:\/\/www.nlpir.org\/wordpress\/2026\/08\/22\/nlpir%e5%ae%9e%e9%aa%8c%e5%ae%a4%e5%a4%9a%e7%af%87%e8%ae%ba%e6%96%87%e8%a2%abemnlp2026%e5%bd%95%e7%94%a8\/\">\u7ee7\u7eed\u9605\u8bfb <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_elementor_edit_mode":"builder","_elementor_template_type":"wp-post","_elementor_data":"[{\"id\":\"aa06798\",\"elType\":\"container\",\"settings\":[],\"elements\":[{\"id\":\"21aa0170\",\"elType\":\"widget\",\"settings\":{\"editor\":\"<!-- wp:paragraph -->\\n<p><strong>\\u5feb\\u8baf<\\\/strong><\\\/p>\\n<!-- \\\/wp:paragraph --><!-- wp:paragraph -->\\n<p>\\u8fd1\\u65e5\\uff0c\\u81ea\\u7136\\u8bed\\u8a00\\u5904\\u7406\\u9886\\u57df\\u56fd\\u9645\\u9876\\u7ea7\\u4f1a\\u8bae Conference on Empirical Methods in Natural Language Processing\\uff08EMNLP\\uff09\\u516c\\u5e03\\u8bba\\u6587\\u5f55\\u7528\\u7ed3\\u679c\\uff0cNLPIR\\u5b9e\\u9a8c\\u5ba4\\u5171\\u67094\\u7bc7\\u8bba\\u6587\\u88ab\\u63a5\\u6536\\u3002\\u76f8\\u5173\\u7814\\u7a76\\u8986\\u76d6\\u5927\\u8bed\\u8a00\\u6a21\\u578b\\u63a8\\u7406\\u3001\\u97f3\\u9891\\u8bed\\u8a00\\u6a21\\u578b\\u3001\\u591a\\u6a21\\u6001\\u7406\\u89e3\\u3001\\u65f6\\u95f4\\u8ba4\\u77e5\\u63a8\\u7406\\u3001\\u5f00\\u653e\\u5173\\u7cfb\\u62bd\\u53d6\\u7b49\\u65b9\\u5411\\uff0c\\u5c55\\u73b0\\u4e86\\u5b9e\\u9a8c\\u5ba4\\u5728\\u8ba4\\u77e5\\u667a\\u80fd\\u3001\\u5927\\u6a21\\u578b\\u4e0e\\u591a\\u6a21\\u6001\\u4eba\\u5de5\\u667a\\u80fd\\u9886\\u57df\\u7684\\u6301\\u7eed\\u63a2\\u7d22\\u4e0e\\u521b\\u65b0\\u80fd\\u529b\\u3002\\u4ee5\\u4e0b\\u4e3a\\u5165\\u9009\\u8bba\\u6587\\u4ecb\\u7ecd\\u3002<\\\/p>\\n<!-- \\\/wp:paragraph --><!-- wp:group {\\\"layout\\\":{\\\"type\\\":\\\"flex\\\",\\\"flexWrap\\\":\\\"nowrap\\\"}} -->\\n<div class=\\\"wp-block-group\\\"><!-- wp:paragraph -->\\n<p><strong>\\u8bba\\u6587\\u4e00<\\\/strong><\\\/p>\\n<!-- \\\/wp:paragraph --><\\\/div>\\n<!-- \\\/wp:group --><!-- wp:paragraph -->\\n<p><strong>\\u8bba\\u6587\\u9898\\u76ee\\uff1a<\\\/strong>Is the Future Predictable? Modeling Future Predictability for Reliable Temporal Reasoning<\\\/p>\\n<!-- \\\/wp:paragraph --><!-- wp:paragraph -->\\n<p><strong>\\u8bba\\u6587\\u4f5c\\u8005\\uff1a<\\\/strong>\\u9ec4\\u548f\\u4eea \\u5f20\\u534e\\u5e73 \\u5d14\\u6587\\u8000 \\u674e\\u79cb\\u6c60 \\u674e\\u78ca \\u5f20\\u5b9d\\u534e<\\\/p>\\n<!-- \\\/wp:paragraph --><!-- wp:paragraph -->\\n<p><strong>\\u4f5c\\u8005\\u5355\\u4f4d\\uff1a<\\\/strong>\\u5317\\u4eac\\u7406\\u5de5\\u5927\\u5b66<\\\/p>\\n<!-- \\\/wp:paragraph --><!-- wp:paragraph -->\\n<p><strong>\\u8bba\\u6587\\u6982\\u8ff0\\uff1a<\\\/strong>\\u5927\\u8bed\\u8a00\\u6a21\\u578b\\uff08LLMs\\uff09\\u5728\\u8fdb\\u884c\\u672a\\u6765\\u63a8\\u7406\\u65f6\\u4ecd\\u7136\\u5b58\\u5728\\u53ef\\u9760\\u6027\\u4e0d\\u8db3\\u7684\\u95ee\\u9898\\u3002\\u73b0\\u6709\\u6a21\\u578b\\u901a\\u5e38\\u5ffd\\u89c6\\u4e0d\\u540c\\u672a\\u6765\\u72b6\\u6001\\u4e4b\\u95f4\\u7684\\u5dee\\u5f02\\uff0c\\u5373\\u4f7f\\u6240\\u67e5\\u8be2\\u7684\\u4e8b\\u5b9e\\u672c\\u8eab\\u5177\\u6709\\u9ad8\\u5ea6\\u4e0d\\u786e\\u5b9a\\u6027\\uff0c\\u6a21\\u578b\\u4ecd\\u7136\\u4f1a\\u7ed9\\u51fa\\u786e\\u5b9a\\u6027\\u7684\\u7b54\\u6848\\u3002\\u4e3a\\u5e94\\u5bf9\\u8fd9\\u4e00\\u6311\\u6218\\uff0c\\u672c\\u6587\\u63d0\\u51fa\\u4e86 ChronoRegime\\uff0c\\u4e00\\u79cd\\u9762\\u5411\\u672a\\u6765\\u7684\\u65f6\\u95f4\\u63a8\\u7406\\u4efb\\u52a1\\uff0c\\u8981\\u6c42\\u6a21\\u578b\\u5224\\u65ad\\uff1a\\u5df2\\u6709\\u7684\\u5386\\u53f2\\u65f6\\u95f4\\u8bc1\\u636e\\u662f\\u5426\\u8db3\\u4ee5\\u652f\\u6301\\u5bf9\\u672a\\u6765\\u7b54\\u6848\\u505a\\u51fa\\u786e\\u5b9a\\u6027\\u5224\\u65ad\\u3002\\u6b64\\u5916\\uff0c\\u672c\\u6587\\u63d0\\u51fa\\u4e86 \\u7f6e\\u4fe1\\u611f\\u77e5\\u65f6\\u95f4\\u63a8\\u7406\\u6846\\u67b6\\uff08Confidence-Aware Temporal Reasoning, CTR\\uff09\\u3002\\u8be5\\u6846\\u67b6\\u901a\\u8fc7\\u5206\\u6790\\u65f6\\u95f4\\u6f14\\u5316\\u89c4\\u5f8b\\u6765\\u8bc4\\u4f30\\u672a\\u6765\\u72b6\\u6001\\u7684\\u53ef\\u9884\\u6d4b\\u6027\\uff0c\\u5e76\\u636e\\u6b64\\u8c03\\u8282\\u6a21\\u578b\\u662f\\u5426\\u5e94\\u8be5\\u5bf9\\u7b54\\u6848\\u505a\\u51fa\\u627f\\u8bfa\\u3002\\u4e0e\\u65e0\\u6761\\u4ef6\\u5730\\u8fdb\\u884c\\u672a\\u6765\\u9884\\u6d4b\\u4e0d\\u540c\\uff0cCTR\\u4ec5\\u5728\\u91cd\\u6784\\u540e\\u7684\\u8bc1\\u636e\\u80fd\\u591f\\u652f\\u6301\\u76ee\\u6807\\u672a\\u6765\\u72b6\\u6001\\u65f6\\u624d\\u7ed9\\u51fa\\u786e\\u5b9a\\u6027\\u9884\\u6d4b\\u3002\\u5728\\u591a\\u4e2a\\u5927\\u8bed\\u8a00\\u6a21\\u578b\\u4e0a\\u7684\\u5b9e\\u9a8c\\u8868\\u660e\\uff0c\\u4e0e\\u666e\\u901a\\u95ee\\u7b54\\u57fa\\u7ebf\\u65b9\\u6cd5\\u76f8\\u6bd4\\uff0cCTR\\u4f7f\\u4e25\\u683c\\u603b\\u4f53\\u51c6\\u786e\\u7387\\u5e73\\u5747\\u63d0\\u5347 6.7\\u4e2a\\u767e\\u5206\\u70b9\\uff0c\\u5e76\\u4f7f\\u5e7b\\u89c9\\u7387\\u5e73\\u5747\\u964d\\u4f4e 18.4\\u4e2a\\u767e\\u5206\\u70b9\\u3002\\u5b9e\\u9a8c\\u7ed3\\u679c\\u8bc1\\u660e\\uff0c\\u663e\\u5f0f\\u8bc4\\u4f30\\u672a\\u6765\\u4e8b\\u4ef6\\u7684\\u53ef\\u9884\\u6d4b\\u6027\\uff0c\\u662f\\u63d0\\u5347\\u672a\\u6765\\u4e0d\\u786e\\u5b9a\\u73af\\u5883\\u4e0b\\u65f6\\u95f4\\u63a8\\u7406\\u5b89\\u5168\\u6027\\u548c\\u53ef\\u9760\\u6027\\u7684\\u6709\\u6548\\u673a\\u5236\\u3002<\\\/p>\\n<!-- \\\/wp:paragraph --><!-- wp:image {\\\"id\\\":3244479,\\\"sizeSlug\\\":\\\"large\\\",\\\"linkDestination\\\":\\\"none\\\"} -->\\n<figure class=\\\"wp-block-image size-large\\\"><img class=\\\"aligncenter wp-image-3244479 size-full\\\" src=\\\"http:\\\/\\\/www.nlpir.org\\\/wordpress\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/image.png\\\" alt=\\\"\\\" width=\\\"1071\\\" height=\\\"913\\\" \\\/><\\\/figure>\\n<!-- \\\/wp:image --><!-- wp:paragraph -->\\n<p><strong>\\u8bba\\u6587\\u4e8c<\\\/strong><\\\/p>\\n<!-- \\\/wp:paragraph --><!-- wp:paragraph -->\\n<p><strong>\\u8bba\\u6587\\u9898\\u76ee\\uff1a<\\\/strong>Learning to Explore the Crux in Formal Theorem Proving<\\\/p>\\n<!-- \\\/wp:paragraph --><!-- wp:paragraph -->\\n<p><strong>\\u8bba\\u6587\\u4f5c\\u8005\\uff1a<\\\/strong>\\u674e\\u6797\\u7ff0 \\u5d14\\u6587\\u8000 \\u5f20\\u516c\\u94ce \\u987e\\u7acb\\u5b8f \\u5468\\u7433 \\u5546\\u5efa\\u4e91 \\u5f20\\u534e\\u5e73<\\\/p>\\n<!-- \\\/wp:paragraph --><!-- wp:paragraph -->\\n<p><strong>\\u4f5c\\u8005\\u5355\\u4f4d\\uff1a<\\\/strong>\\u5317\\u4eac\\u7406\\u5de5\\u5927\\u5b66\\u3001\\u8682\\u8681\\u96c6\\u56e2<\\\/p>\\n<!-- \\\/wp:paragraph --><!-- wp:paragraph 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