{"id":12952,"date":"2026-10-06T07:35:13","date_gmt":"2026-10-05T23:35:13","guid":{"rendered":"https:\/\/infernews.com\/blog\/fold2reason-enhancing-general-reasoning-in-language-models\/"},"modified":"2026-10-06T07:36:02","modified_gmt":"2026-10-05T23:36:02","slug":"fold2reason-enhancing-general-reasoning-in-language-models","status":"publish","type":"post","link":"https:\/\/infernews.com\/blog\/fold2reason-enhancing-general-reasoning-in-language-models\/","title":{"rendered":"Fold2Reason \u8b93\u8a9e\u8a00\u6a21\u578b\u5b78\u61c2\u86cb\u767d\u8cea\u7d50\u69cb"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/10\/pasted-d232529ca196.jpg\" alt=\"Fold2Reason diagram showing FoldingCorpus construction, general reasoning transfer, and the model architecture\"><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u8981\u8b93\u8a9e\u8a00\u6a21\u578b\u8655\u7406\u86cb\u767d\u8cea\u554f\u984c\uff0c\u96e3\u9ede\u4e0d\u53ea\u5728\u6587\u5b57\u7406\u89e3\uff0c\u9084\u5305\u62ec\u5982\u4f55\u4fdd\u5b58\u4e09\u7dad\u7a7a\u9593\u95dc\u4fc2\u3002Fold2Reason \u5c6c\u65bc\u6a21\u578b\u8a13\u7df4\u8207\u7814\u7a76\u578b\u958b\u6e90\u9805\u76ee\uff0c\u900f\u904e FoldingCorpus \u76e3\u7763\u8cc7\u6599\u3001\u5171\u4eab spatial workspace \u548c\u51cd\u7d50\u7684 geometry decoder\uff0c\u8655\u7406\u8a9e\u8a00\u6a21\u578b\u63a8\u7406\u8207\u86cb\u767d\u8cea\u7d50\u69cb\u8b80\u53d6\u4e4b\u9593\u7684\u929c\u63a5\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u9805\u76ee\u4ee5 Qwen3.5 \u70ba\u4e3b\u8981\u8a13\u7df4\u53ca\u8a55\u4f30\u6d41\u7a0b\uff0c\u9069\u5408\u7814\u7a76\u4eba\u54e1\u6bd4\u8f03\u86cb\u767d\u8cea\u7d50\u69cb\u5f8c\u8a13\u7df4\u5c0d\u4e00\u822c\u80fd\u529b\u7684\u5f71\u97ff\u3002\u7d50\u69cb\u8f38\u51fa\u4e0d\u76f4\u63a5\u7531\u8a9e\u8a00\u6a21\u578b\u55ae\u7368\u5b8c\u6210\uff0c\u800c\u662f\u4ea4\u7531 workspace \u914d\u5408 decoder \u8b80\u53d6\uff1b\u4e00\u822c\u63a8\u7406\u5247\u4ee5\u9069\u914d\u5f8c\u7684\u8a9e\u8a00\u6a21\u578b\u8a55\u4f30\uff0c\u5169\u689d\u7d50\u679c\u8def\u5f91\u6709\u6e05\u695a\u5206\u5de5\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u76f8\u8f03\u65bc\u53ea\u7528 FoldingCorpus \u8a13\u7df4\u7684 Pure-LoRA baseline\uff0cFold2Reason \u984d\u5916\u5f15\u5165\u5171\u4eab\u7a7a\u9593\u8868\u793a\u548c\u51cd\u7d50\u5e7e\u4f55\u89e3\u78bc\u5668\uff0c\u63db\u4f86\u8f03\u5b8c\u6574\u7684\u7d50\u69cb\u8655\u7406\u6d41\u7a0b\uff0c\u540c\u6642\u589e\u52a0\u8cc7\u6599\u3001\u6b0a\u91cd\u8207\u786c\u4ef6\u8981\u6c42\u3002\u9805\u76ee\u63d0\u4f9b\u78ba\u5b9a\u6027\u8cc7\u6599\u6e96\u5099\u3001LoRA\/workspace checkpoint\u3001\u5df2\u8a13\u7df4 checkpoint \u8a55\u4f30\uff0c\u4ee5\u53ca\u91cd\u65b0\u8a13\u7df4\u6240\u9700\u7684\u7ba1\u7dda\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u9700\u8981 Python 3.12\u3001CUDA \u76f8\u5bb9\u7684 PyTorch\uff0c\u4ee5\u53ca\u6307\u5b9a\u7248\u672c\u7684 Transformers \u548c PEFT<\/li>\n<li><code>dataset.zip<\/code> \u53e6\u884c\u63d0\u4f9b\u8a13\u7df4\u8cc7\u6599\u3001\u51cd\u7d50 decoder \u548c\u4e09\u7d44 checkpoint<\/li>\n<li>\u53ef\u8a55\u4f30\u5df2\u767c\u5e03 checkpoint\uff0c\u4ea6\u53ef\u91cd\u65b0\u9032\u884c Qwen3.5 \u8a13\u7df4<\/li>\n<li>General-10 \u5206\u6578\u805a\u5408\u5668\u7528\u65bc\u6574\u7406\u4e00\u822c\u63a8\u7406\u7d50\u679c<\/li>\n<li>\u5404\u57fa\u6e96\u6e2c\u8a66\u76f8\u5c0d\u57fa\u790e\u6a21\u578b\u7684\u589e\u76ca\uff0c\u4f46\u672a\u5728\u63d0\u4f9b\u5167\u5bb9\u5217\u51fa\u5b8c\u6574\u6578\u503c<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u9069\u5408\u7814\u7a76\u5718\u968a\u3001\u86cb\u767d\u8cea AI \u6a21\u578b\u5f8c\u8a13\u7df4\u53ca\u591a\u6a21\u614b\u7a7a\u9593\u8868\u793a\u65b9\u5411\u7684\u958b\u767c\u8005\u3002\u5b83\u672a\u5fc5\u9069\u5408\u53ea\u60f3\u5feb\u901f\u8abf\u7528\u86cb\u767d\u8cea\u9810\u6e2c\u529f\u80fd\u7684\u4f7f\u7528\u8005\u3002\u4f46\u4f5c\u70ba\u6bd4\u8f03 LoRA\u3001\u7a7a\u9593 workspace \u8207\u51cd\u7d50\u5e7e\u4f55 decoder \u7684\u53ef\u91cd\u73fe\u5be6\u9a57\u57fa\u790e\uff0c\u9805\u76ee\u63d0\u4f9b\u4e86\u6bd4\u55ae\u4e00\u6a21\u578b\u6b0a\u91cd\u66f4\u5b8c\u6574\u7684\u9a57\u8b49\u8def\u5f91\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/GENTEL-lab\/Fold2Reason\" rel=\"noopener noreferrer\"><strong>GitHub<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fold2Reason 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