{"id":2092400,"date":"2026-05-21T22:28:57","date_gmt":"2026-05-21T14:28:57","guid":{"rendered":"http:\/\/www.nlpir.org\/wordpress\/?p=2092400"},"modified":"2026-05-21T22:28:57","modified_gmt":"2026-05-21T14:28:57","slug":"2092400","status":"publish","type":"post","link":"http:\/\/www.nlpir.org\/wordpress\/2026\/05\/21\/2092400\/","title":{"rendered":""},"content":{"rendered":"\n

ACL 2026 Findings\uff1a\u62d2\u7edd\u76f2\u76ee\u91c7\u6837\uff0c\u8ba9\u5927\u6a21\u578b\u63a8\u7406\u201c\u7cbe\u6253\u7ec6\u7b97\u201d\u4e14\u201c\u4f18\u80dc\u52a3\u6c70\u201d<\/h1>\n\n\n\n
\u8bba\u6587\u5f15\u8a00<\/strong><\/p>\n\n\n\n
$\"\u56fe\u7247\"$ <\/p>\n\n\n\n
\u5728\u89e3\u51b3\u590d\u6742\u6570\u5b66\u548c\u903b\u8f91\u95ee\u9898\u65f6\uff0c\u6d4b\u8bd5\u65f6\u6269\u5c55\uff08Test-Time Scaling, TTS\uff09\u5df2\u7ecf\u6210\u4e3a\u63d0\u5347\u5927\u8bed\u8a00\u6a21\u578b\u63a8\u7406\u80fd\u529b\u7684\u6838\u5fc3\u9a71\u52a8\u529b \u3002\u8fd9\u7c7b\u65b9\u6cd5\u901a\u5e38\u9075\u5faa\u4e00\u4e2a\u76f4\u89c2\u7684\u903b\u8f91\uff1a\u591a\u91c7\u6837\u51e0\u6761\u63a8\u7406\u8def\u5f84\uff0c\u7136\u540e\u9009\u51fa\u6700\u597d\u7684\u4e00\u6761\u3002\u7136\u800c\uff0c\u73b0\u6709\u5927\u6a21\u578b\u5728\u5b9e\u9645\u5e94\u7528\u8fd9\u7c7b\u7cfb\u7edf\u65f6\uff0c\u9762\u4e34\u7740\u4e00\u4e2a\u6838\u5fc3\u7684\u8d44\u6e90\u4e0e\u6548\u7387\u74f6\u9888\uff1a \u76f2\u76ee\u7684\u5927\u6279\u91cf\u91c7\u6837\uff0c\u65e2\u6602\u8d35\u53c8\u4f4e\u6548\u3002<\/p>\n\n\n\n
\u76ee\u524d\u4e3b\u6d41\u7684\u65b9\u6cd5\uff08\u5982 Best-of-N\uff09\u5927\u591a\u4f9d\u8d56\u201c\u4e00\u6b21\u6027\u751f\u6210\uff0c\u4fdd\u7559\u5c11\u6570\uff08Sample once and keep few\uff09\u201d\u7684\u7c97\u66b4\u7b56\u7565 \u3002\u8fd9\u610f\u5473\u7740\u65e0\u8bba\u9898\u76ee\u96be\u6613\uff0c\u6a21\u578b\u90fd\u4f1a\u6b7b\u677f\u5730\u6d88\u8017\u56fa\u5b9a\u7684\u7b97\u529b\uff0c\u5bfc\u81f4\u5927\u91cf\u8ba1\u7b97\u8d44\u6e90\u6d6a\u8d39\u5728\u6ce8\u5b9a\u88ab\u4e22\u5f03\u7684\u4f4e\u8d28\u91cf\u5019\u9009\u7b54\u6848\u4e0a \u3002\u66f4\u68d8\u624b\u7684\u662f\uff0c\u4e3a\u4e86\u4ece\u8fd9\u4e9b\u5e9e\u6742\u7684\u5019\u9009\u4e2d\u6311\u51fa\u6b63\u786e\u7b54\u6848\uff0c\u73b0\u6709\u7684\u4e3b\u6d41\u6846\u67b6\u4e25\u91cd\u4f9d\u8d56\u5916\u90e8\u8bad\u7ec3\u7684\u5956\u52b1\u6a21\u578b\uff08ORM\/PRM\uff09\uff0c\u8fd9\u4e0d\u4ec5\u9700\u8981\u6d77\u91cf\u7684\u7ec6\u7c92\u5ea6\u4eba\u5de5\u6807\u6ce8\u6570\u636e\uff0c\u8fd8\u5e26\u6765\u4e86\u6c89\u91cd\u7684\u90e8\u7f72\u4e0e\u63a8\u7406\u5ef6\u8fdf\u8d1f\u62c5 \u3002<\/p>\n\n\n\n
\u57fa\u4e8e\u6b64\uff0c\u6211\u4eec\u6700\u65b0\u7684\u5de5\u4f5c\u63d0\u51fa\u4e86\u4e00\u4e2a\u65b0\u7684\u6846\u67b6\uff1aConMA \uff0c\u5168\u79f0\u4e3a\uff1a Confidence-Guided Kernel Sampling with Multi-Stage Aggregation for LLM Reasoning<\/p>\n\n\n\n
\u5b83\u7684\u6838\u5fc3\u601d\u60f3\u53ef\u4ee5\u6982\u62ec\u4e3a\uff1a\u5f7b\u5e95\u6452\u5f03\u5916\u90e8\u9a8c\u8bc1\u5668\uff0c\u5229\u7528\u5927\u6a21\u578b\u5185\u5728\u7684\u7f6e\u4fe1\u5ea6\u4fe1\u53f7\uff0c\u5c06\u9759\u6001\u7684\u7b97\u529b\u9884\u7b97\u91cd\u7ec4\u4e3a\u201c\u8fc7\u6ee4-\u63a2\u7d22-\u805a\u5408\u201d\u7684\u52a8\u6001\u6f14\u5316\u95ed\u73af \u3002<\/strong><\/p>\n\n\n\n
\u4e5f\u5c31\u662f\u8bf4\uff0c\u8fd9\u9879\u5de5\u4f5c\u4e0d\u518d\u8ba9\u6a21\u578b\u201c\u8499\u7740\u773c\u775b\u76f2\u76ee\u6d77\u6295\u201d\uff0c\u800c\u662f\u8d4b\u4e88\u4e86\u5b83\u57fa\u4e8e\u81ea\u8eab\u6982\u7387\u4fe1\u53f7\u7684\u201c\u81ea\u5ba1\u89c6\u201d\u80fd\u529b \u3002\u901a\u8fc7\u7f6e\u4fe1\u5ea6\u6838\u5fc3\u91c7\u6837\uff08CKS\uff09\u5c3d\u65e9\u5254\u9664\u52a3\u8d28\u566a\u97f3 \uff0c\u5229\u7528\u5b58\u6d3b\u7684\u9ad8\u8d28\u91cf\u8def\u5f84\u6fc0\u53d1\u591a\u6837\u6027\u63a2\u7d22\uff08DSE\uff09\uff0c\u6700\u540e\u5c06\u63d0\u7eaf\u8fc7\u7a0b\u8f6c\u5316\u4e3a\u591a\u9879\u9009\u62e9\u9898\uff08MCQ\uff09\u8fdb\u884c\u591a\u8f6e\u5355\u9009\u8fed\u4ee3\uff08MSA\uff09\u3002\u5b83\u80fd\u591f\u6839\u636e\u9898\u76ee\u96be\u5ea6\u81ea\u9002\u5e94\u5730\u63d0\u524d\u505c\u6b62\u2014\u2014\u5728\u7b80\u5355\u9898\u4e0a\u4ec5\u9700\u5c11\u91cf\u91c7\u6837\u5373\u53ef\u8f93\u51fa\uff0c\u5728\u96be\u9898\u4e0a\u5219\u8fdb\u884c\u6df1\u5ea6\u7684\u903b\u8f91\u4fee\u6b63 \u3002\u6700\u7ec8\uff0c\u6211\u4eec\u5728\u65e0\u9700\u4efb\u4f55\u5916\u90e8\u5956\u52b1\u6a21\u578b\u7684\u60c5\u51b5\u4e0b\uff0c\u8ba9\u4ec5\u6709 4B \u53c2\u6570\u7684 Qwen3-4B \u6a21\u578b\u5728 AIME 2025 \u4e0a\u8fbe\u5230\u4e86 80% \u7684\u51c6\u786e\u7387\uff0c\u5e76\u4e14\u5e73\u5747\u6bcf\u9898\u4ec5\u6d88\u8017 18 \u6b21\u91c7\u6837\uff0c\u5927\u5e45\u8d85\u8d8a\u4e86 32B \u7ea7\u522b\u7684\u5927\u6a21\u578b\u5e76\u6781\u5927\u5730\u964d\u4f4e\u4e86\u63a8\u7406\u6210\u672c \u3002<\/p>\n\n\n\n
$\"\u56fe\u7247\"$ <\/p>\n\n\n\n
ConMA \u6fc0\u53d1\u4e86\u5019\u9009\u96c6\u7684\u6f14\u5316\u3002\u76f8\u6bd4\u4e8e\u4f20\u7edf\u65b9\u6cd5\u5728\u5355\u6b21\u91c7\u6837\u4e2d\u6d6a\u8d39\u5927\u91cf\u8d44\u6e90\uff0cConMA \u5728\u56fa\u5b9a\u7b97\u529b\u9884\u7b97\u4e0b\uff0c\u901a\u8fc7\u8fed\u4ee3\u4fee\u526a\u4f4e\u8d28\u91cf\u8def\u5f84\u3001\u4ece\u5e78\u5b58\u8005\u4e2d\u751f\u6210\u591a\u6837\u5316\u63a2\u7d22\uff0c\u5e76\u5229\u7528\u6a21\u578b\u5185\u5728\u7684\u9009\u62e9\u80fd\u529b\u5bf9\u4e0b\u4e00\u8f6e\u5019\u9009\u96c6\u8fdb\u884c\u4f18\u5316 \u3002<\/p>\n\n\n\n
\u8fd1\u5e74\u6765\uff0c\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u7684\u5feb\u901f\u8fdb\u6b65\u4e0d\u4ec5\u4ec5\u4f9d\u8d56\u4e8e\u6269\u5c55\u6a21\u578b\u81ea\u8eab\u7684\u53c2\u6570\u91cf\uff0c\u63a8\u7406\u9636\u6bb5\u7684\u7b97\u529b\u5206\u914d\uff08Test-Time Scaling, TTS\uff09\u4e5f\u6b63\u6210\u4e3a\u63d0\u5347\u590d\u6742\u63a8\u7406\u80fd\u529b\u7684\u5173\u952e\u9a71\u52a8\u529b \u3002\u901a\u8fc7\u5728\u63a8\u7406\u9884\u7b97\u5185\u91c7\u6837\u5e76\u805a\u5408\u591a\u6761\u63a8\u7406\u8f68\u8ff9\uff0c\u5c0f\u6a21\u578b\u4e5f\u80fd\u5c55\u73b0\u51fa\u5ab2\u7f8e\u66f4\u5927\u89c4\u6a21\u6a21\u578b\u7684\u8868\u73b0 \u3002<\/p>\n\n\n\n
\u8fd1\u65e5\uff0c\u7814\u7a76\u56e2\u961f\u63d0\u51fa\u4e86ConMA\uff08Confidence-guided Multi-stage Aggregation\uff09\uff1a\u4e00\u79cd\u514d\u8bad\u7ec3\u3001\u65e0\u9700\u5916\u90e8\u9a8c\u8bc1\u5668\u7684\u5373\u63d2\u5373\u7528TTS \u6846\u67b6\u3002\u5728AIME 2025 \u6311\u6218\u96c6\u4e0a\uff0c\u642d\u8f7d\u8be5\u6846\u67b6\u7684Qwen3-4B\u6a21\u578b\u6210\u529f\u62ff\u4e0b\u4e8680.0%\u7684\u51c6\u786e\u7387\uff0c\u8fdc\u8d85\u540c\u7b49\u7b97\u529b\u4e0b\u7684\u5176\u4ed6\u5f3a\u5927\u57fa\u7ebf\u65b9\u6cd5\uff0c\u751a\u81f3\u8d8a\u7ea7\u6253\u8d25\u4e8632B\u7ea7\u522b\u7684\u6a21\u578b\u3002\u8be5\u5de5\u4f5c\u76ee\u524d\u5df2\u88abACL 2026 Findings\u63a5\u6536\u3002<\/p>\n\n\n\n
\u4f20\u7edf TTS \u56f0\u5883\uff1a<\/strong><\/p>\n\n\n\n
\u4e3a\u4ec0\u4e48\u73b0\u6709\u65b9\u6cd5\u4e0d\u591f\u9ad8\u6548\uff1f<\/strong><\/p>\n\n\n\n
\u5f53\u524d\u4e3b\u6d41\u7684 TTS \u6846\u67b6\uff0c\u5f80\u5f80\u4f9d\u8d56\u4e8e\u57fa\u4e8e\u5916\u90e8\u9a8c\u8bc1\u5668\uff08Reward Models\uff09\u7684\u9ad8\u7ea7\u641c\u7d22\u7b56\u7565\uff0c\u6216\u8005\u4e3b\u6d41\u7684\u57fa\u4e8e\u91c7\u6837\u7684\u65b9\u6cd5\uff08\u4f8b\u5982 Best-of-N \u548c\u81ea\u4e00\u81f4\u6027\u591a\u6570\u6295\u7968\uff09 \u3002\u5c3d\u7ba1\u53d6\u5f97\u4e86\u7ecf\u9a8c\u4e0a\u7684\u6210\u529f\uff0c\u4f46\u8fd9\u79cd\u201c\u5355\u6b21\u5927\u6279\u91cf\u91c7\u6837\uff08sample once and keep few\uff09\u201d\u7684\u8303\u5f0f\u9762\u4e34\u7740\u7ed3\u6784\u6027\u7684\u5c40\u9650 \uff1a<\/p>\n\n\n\n
\uff081\uff09\u6602\u8d35\u7684\u5916\u90e8\u76d1\u7763\uff1a\u4f9d\u8d56\u8f85\u52a9\u7684\u5956\u52b1\u6a21\u578b\u9700\u8981\u6d77\u91cf\u7ec6\u7c92\u5ea6\u7684\u76d1\u7763\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\uff0c\u540c\u65f6\u5728\u90e8\u7f72\u548c\u63a8\u7406\u65f6\u5e26\u6765\u4e86\u4e0d\u53ef\u5ffd\u89c6\u7684\u989d\u5916\u5f00\u9500\u3002<\/p>\n\n\n\n
\uff082\uff09\u5ffd\u89c6\u4e2d\u95f4\u9ad8\u8d28\u91cf\u8f68\u8ff9\uff1a\u72ec\u7acb\u751f\u6210\u8f68\u8ff9\u7684\u540c\u8d28\u5316\u7279\u5f81\uff0c\u5bfc\u81f4\u7cfb\u7edf\u65e0\u6cd5\u590d\u7528\u4e2d\u95f4\u9ad8\u8d28\u91cf\u7684\u63a8\u7406\u7ebf\u7d22 \u3002\u641c\u7d22\u7a7a\u95f4\u88ab\u65e0\u5f15\u5bfc\u7684\u968f\u673a\u6027\u4e3b\u5bfc\uff0c\u4ea7\u751f\u5927\u91cf\u5197\u4f59\u6216\u9ad8\u5ea6\u805a\u96c6\u7684\u89e3 \u3002<\/p>\n\n\n\n
\uff083\uff09\u8ba1\u7b97\u8d44\u6e90\u5206\u914d\u50f5\u5316\uff1a\u4e0d\u533a\u5206\u96be\u5ea6\u7684\u201c\u5355\u6b21\u91c7\u6837\u201d\u7b56\u7565\uff0c\u5c06\u5927\u91cf\u7b97\u529b\u6d6a\u8d39\u5728\u6ce8\u5b9a\u88ab\u4e22\u5f03\u7684\u4f4e\u8d28\u91cf\u5019\u9009\u7b54\u6848\u4e0a \u3002\u8fd9\u5bfc\u81f4\u7cfb\u7edf\u5728\u7b80\u5355\u4efb\u52a1\u4e0a\u7b97\u529b\u8d85\u8f7d\uff0c\u800c\u5728\u590d\u6742\u95ee\u9898\u4e0a\u5374\u56e0\u4e3a\u7f3a\u4e4f\u8fed\u4ee3\u4f18\u5316\u800c\u906d\u9047\u6027\u80fd\u74f6\u9888 \u3002<\/p>\n\n\n\n
\u8ba9\u6a21\u578b\u63a8\u7406\u5185\u90e8\u4fe1\u53f7\u5f15\u5bfc\u63a8\u7406\uff1a<\/strong><\/p>\n\n\n\n
ConMA\u7684\u201c\u81ea\u6211\u8fdb\u5316\u201d\u8def\u7ebf<\/strong><\/p>\n\n\n\n
\u4e3a\u4e86\u6253\u7834\u8fd9\u4e00\u74f6\u9888\uff0cConMA \u9009\u62e9\u4e86\u4e00\u6761\u66f4\u201c\u5185\u7701\u201d\u7684\u8def\u7ebf\uff1a\u4e0d\u4f9d\u8d56\u5916\u90e8\u76d1\u7763\uff0c\u800c\u662f\u91cd\u65b0\u5229\u7528\u5927\u6a21\u578b\u81ea\u8eab\u7684\u5185\u90e8\u4e0d\u786e\u5b9a\u6027\u4f5c\u4e3a\u5f15\u5bfc\u4fe1\u53f7\uff0c\u6765\u534f\u8c03\u81ea\u9002\u5e94\u7684\u63a8\u7406\u5faa\u73af \u3002\u6574\u4e2a\u6846\u67b6\u901a\u8fc7\u4e09\u4e2a\u534f\u540c\u673a\u5236\u8fd0\u4f5c\uff1a<\/p>\n\n\n\n
$\"\u56fe\u7247\"$ <\/p>\n\n\n\n
\u7cfb\u7edf\u5728\u521d\u59cb\u91c7\u6837\u540e\u8fdb\u5165\u534f\u540c\u5faa\u73af\uff1a\u9996\u5148\uff0cCKS \u5229\u7528\u590d\u5408\u7f6e\u4fe1\u5ea6\u6253\u5206\u4fee\u526a\u4f4e\u8d28\u91cf\u7b54\u6848\u7ec4\uff1b\u63a5\u7740\uff0cDSE \u4ece\u6838\u5fc3\u4ee3\u8868\u4e2d\u751f\u6210\u591a\u6837\u5316\u8def\u5f84\u4ee5\u6269\u5c55\u641c\u7d22\u7a7a\u95f4\uff1b\u6700\u540e\uff0cMSA \u901a\u8fc7\u591a\u9879\u9009\u62e9\u9898\uff08MCQ\uff09\u5f62\u5f0f\u5de9\u56fa\u5171\u8bc6 \u3002<\/p>\n\n\n\n
\uff081\uff09\u7f6e\u4fe1\u5ea6\u5f15\u5bfc\u7684\u6838\u91c7\u6837\uff08CKS\uff09\uff1a\u4e0d\u518d\u4ec5\u51ed\u8f93\u51fa\u9891\u7387\u6216\u5916\u90e8\u5956\u52b1\u6a21\u578b\u6253\u5206\uff0cCKS \u5229\u7528\u57fa\u4e8e token \u6982\u7387\u7684\u5185\u5728\u7f6e\u4fe1\u5ea6\u6765\u8bc4\u4f30\u8f68\u8ff9\uff0c\u5e76\u5bf9\u7b54\u6848\u7ec4\u8fdb\u884c\u8fc7\u6ee4\uff0c\u4ece\u800c\u4fdd\u7559\u4e00\u4e2a\u7d27\u51d1\u7684\u9ad8\u8d28\u91cf\u5019\u9009\u201c\u6838\u5fc3\uff08Kernel\uff09\u201d\u3002<\/p>\n\n\n\n
\uff082\uff09\u8ffd\u6c42\u591a\u6837\u6027\u7684\u63a2\u7d22\uff08DSE\uff09\uff1a\u4e3a\u4e86\u6253\u7834\u540c\u8d28\u5316\u91c7\u6837\uff0cDSE \u4ee5\u6838\u5fc3\u4ee3\u8868\u4e3a\u6761\u4ef6\uff0c\u5f15\u5bfc\u6a21\u578b\u751f\u6210\u5177\u6709\u622a\u7136\u4e0d\u540c\u63a8\u7406\u6a21\u5f0f\u7684\u65b0\u8f68\u8ff9\u3002\u4e0d\u4ec5\u590d\u7528\u4e86\u9ad8\u8d28\u91cf\u7684\u4e2d\u95f4\u75d5\u8ff9\uff0c\u8fd8\u6781\u5927\u5730\u6269\u5c55\u4e86\u641c\u7d22\u7a7a\u95f4 \u3002<\/p>\n\n\n\n
\uff083\uff09\u591a\u9636\u6bb5\u805a\u5408\uff08MSA\uff09\uff1aMSA \u662f\u4e00\u4e2a\u8282\u7701\u9884\u7b97\u7684\u5916\u5c42\u5faa\u73af\u3002\u5b83\u6452\u5f03\u4e86\u201c\u5355\u6b21\u5927\u6279\u91cf\u91c7\u6837\u201d\uff0c\u5c06\u603b\u9884\u7b97 N \u5212\u5206\u4e3a\u5c0f\u6279\u91cf\u8f6e\u6b21 \u3002\u7cfb\u7edf\u5c06\u66f4\u65b0\u6837\u672c\u6c60\u7684\u8fc7\u7a0b\u8f6c\u5316\u4e3a\u91cd\u590d\u7684\u5355\u9009\u591a\u9879\u9009\u62e9\u9898\uff0c\u9009\u51fa\u7684\u8f68\u8ff9\u88ab\u5faa\u73af\u4f5c\u4e3a\u4e0b\u4e00\u8f6e\u7684\u8f93\u5165\uff0c\u9a71\u52a8\u7cfb\u7edf\u9010\u6b65\u903c\u8fd1\u6b63\u786e\u7b54\u6848 \u3002<\/p>\n\n\n\n
\u5b9e\u9a8c\u7ed3\u679c<\/strong><\/p>\n\n\n\n
\u7814\u7a76\u56e2\u961f\u5728\u56db\u4e2a\u6781\u5177\u6311\u6218\u6027\u7684\u63a8\u7406\u57fa\u51c6\uff08AIME 2024\u3001AIME 2025\u3001AMC 23 \u548c GPQA-Diamond\uff09\u4e0a\u8fdb\u884c\u4e86\u8bc4\u4f30\uff0cConMA \u5747\u6301\u7eed\u4f18\u4e8e\u5f3a\u5927\u7684\u57fa\u7ebf\u65b9\u6cd5 \u3002<\/p>\n\n\n\n
$\"\u56fe\u7247\"$ <\/p>\n\n\n\n
\u5b9e\u9a8c\u8bc1\u660e\uff1a<\/strong><\/p>\n\n\n\n
\u4e0d\u4ec5\u505a\u5f97\u66f4\u5bf9\uff0c\u8fd8\u7701\u4e8670%\u7684\u7b97\u529b<\/strong><\/p>\n\n\n\n
\u8d8a\u7ea7\u51fb\u8d25\u5927\u6a21\u578b\uff1a<\/strong>\u5728\u6781\u5177\u6311\u6218\u7684 AIME 2025 \u6570\u636e\u96c6\u4e0a\uff0cConMA \u52a9\u529b Qwen3-4B \u5b9e\u73b0\u4e86 80.0% \u7684\u51c6\u786e\u7387 \u3002\u8fd9\u4e00\u6210\u7ee9\u5927\u5e45\u9886\u5148\u4e8e\u53c2\u6570\u91cf\u5927\u5f97\u591a\u7684 Qwen3-32B\uff0870.4%\uff09\u548c QwQ-32B\uff0869.0%\uff09 \u3002\u7c7b\u4f3c\u5730\uff0cQwen3-1.7B \u7ed3\u5408 ConMA \u5728 AIME 2024 \u4e0a\u8fbe\u5230 72.1%\uff0c\u51e0\u4e4e\u8ffd\u5e73\u4e86 4B \u57fa\u7840\u6a21\u578b\uff0872.4%\uff09\u7684\u6807\u51c6\u8868\u73b0 \u3002<\/p>\n\n\n\n
$\"\u56fe\u7247\"$ <\/p>\n\n\n\n
\u60ca\u4eba\u7684\u7b97\u529b\u6548\u7387\uff1a<\/strong>\u66f4\u52a0\u503c\u5f97\u4e00\u63d0\u7684\u662f ConMA \u7684\u52a8\u6001\u8ba1\u7b97\u5206\u914d\u80fd\u529b\u3002\u5f97\u76ca\u4e8e\u57fa\u4e8e\u6536\u655b\u7684\u63d0\u524d\u505c\u6b62\u673a\u5236\uff0c\u7cfb\u7edf\u80fd\u591f\u6839\u636e\u4efb\u52a1\u96be\u5ea6\u81ea\u9002\u5e94\u8c03\u8282\u8ba1\u7b97\u5f3a\u5ea6 \u3002\u5728\u6700\u5927\u9884\u7b97\u8bbe\u5b9a\u4e3a 64 \u7684\u60c5\u51b5\u4e0b\uff0cConMA \u5728 AIME 2025 \u4e0a\u5e73\u5747\u4ec5\u9700 18 \u6b21\u91c7\u6837\u5c31\u80fd\u8fbe\u5230 80% \u7684\u5cf0\u503c\u6027\u80fd \u3002\u5b83\u6253\u7834\u4e86\u56fa\u5b9a\u9884\u7b97\u57fa\u7ebf\u65b9\u6cd5\u7684\u7ebf\u6027\u6210\u672c\u4f9d\u8d56\uff0c\u5728\u7cbe\u51c6\u5b9a\u4f4d\u6700\u4f18\u89e3\u7684\u540c\u65f6\uff0c\u5927\u5e45\u964d\u4f4e\u4e86\u8d85\u8fc7 70% \u7684\u63a8\u7406\u6210\u672c \u3002<\/p>\n\n\n\n
\u5171\u4e00\u4f5c\u8005\uff1a\u738b\u4e00\u8bfa \u674e\u6e05\u6d01<\/strong><\/p>\n\n\n\n
\u738b\u4e00\u8bfa<\/strong><\/p>\n\n\n\n
$\"\u56fe\u7247\"$ <\/p>\n\n\n\n
\u674e\u6e05\u6d01<\/strong><\/p>\n\n\n\n
$\"\u56fe\u7247\"$ <\/p>\n","protected":false},"excerpt":{"rendered":"
ACL 2026 Findings\uff1a\u62d2\u7edd\u76f2\u76ee\u91c7\u6837\uff0c\u8ba9\u5927\u6a21\u578b\u63a8\u7406\u201c\u7cbe\u6253\u7ec6\u7b97\u201d\u4e14\u201c\u4f18 … \u7ee7\u7eed\u9605\u8bfb →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[31,38],"tags":[],"_links":{"self":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts\/2092400"}],"collection":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/comments?post=2092400"}],"version-history":[{"count":1,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts\/2092400\/revisions"}],"predecessor-version":[{"id":2092404,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/posts\/2092400\/revisions\/2092404"}],"wp:attachment":[{"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/media?parent=2092400"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/categories?post=2092400"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.nlpir.org\/wordpress\/wp-json\/wp\/v2\/tags?post=2092400"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}