{"id":1583,"date":"2026-06-03T16:26:29","date_gmt":"2026-06-03T08:26:29","guid":{"rendered":"https:\/\/lingbo.online\/?p=1583"},"modified":"2026-06-03T18:11:02","modified_gmt":"2026-06-03T10:11:02","slug":"dflash-block-diffusion-for-flash-speculative-decoding","status":"publish","type":"post","link":"https:\/\/lingbo.online\/index.php\/uncategorized\/dflash-block-diffusion-for-flash-speculative-decoding\/","title":{"rendered":"DFlash: Block Diffusion for Flash Speculative Decoding"},"content":{"rendered":"<h3>Meta Data<\/h3>\n<ul>\n<li>\u53d1\u8868\u65f6\u95f4 2026-02-12<\/li>\n<li>\u4f5c\u8005\uff1aJian Chen, Yesheng Liang, Zhijian Liu etc.<\/li>\n<li>\u8bba\u6587\u94fe\u63a5\uff1a<a href=\"https:\/\/arxiv.org\/pdf\/2602.06036.pdf\" target=\"_blank\"  rel=\"nofollow\" >https:\/\/arxiv.org\/pdf\/2602.06036.pdf<\/a><\/li>\n<li>\u9879\u76ee\u94fe\u63a5\uff1a<a href=\"https:\/\/github.com\/z-lab\/dflash\" target=\"_blank\"  rel=\"nofollow\" >https:\/\/github.com\/z-lab\/dflash<\/a><\/li>\n<\/ul>\n<h3>\u6458\u8981<\/h3>\n<p>\u81ea\u56de\u5f52\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u8868\u73b0\u51fa\u8272\uff0c\u4f46\u9700\u8981\u56fa\u6709\u7684\u987a\u5e8f\u89e3\u7801\uff0c\u5bfc\u81f4\u63a8\u7406\u5ef6\u8fdf\u9ad8\u548c GPU \u5229\u7528\u7387\u5dee\u3002\u6295\u673a\u89e3\u7801\uff08Speculative decoding\uff09\u901a\u8fc7\u4f7f\u7528\u4e00\u4e2a\u5feb\u901f\u8349\u7a3f\u6a21\u578b\u6765\u7f13\u89e3\u8fd9\u4e00\u74f6\u9888\uff0c\u8be5\u6a21\u578b\u7684\u8f93\u51fa\u7531\u76ee\u6807 LLM \u5e76\u884c\u9a8c\u8bc1\u3002\u7136\u800c\uff0c\u73b0\u6709\u65b9\u6cd5\u4ecd\u7136\u4f9d\u8d56\u4e8e\u81ea\u56de\u5f52\u8349\u7a3f\uff08autoregressive drafting\uff09\uff0c\u8fd9\u4ecd\u7136\u662f\u987a\u5e8f\u7684\uff0c\u5e76\u9650\u5236\u4e86\u5b9e\u9645\u7684\u901f\u5ea6\u63d0\u5347\u3002\u6269\u6563 LLM \u901a\u8fc7\u5b9e\u73b0\u5e76\u884c\u751f\u6210\u63d0\u4f9b\u4e86\u4e00\u79cd\u6709\u524d\u9014\u7684\u66ff\u4ee3\u65b9\u6848\uff0c\u4f46\u76ee\u524d\u7684\u6269\u6563\u6a21\u578b\u901a\u5e38\u4e0d\u5982\u81ea\u56de\u5f52\u6a21\u578b\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86 DFlash\uff0c\u4e00\u4e2a\u6295\u673a\u89e3\u7801\u6846\u67b6\uff0c\u5b83\u91c7\u7528\u8f7b\u91cf\u7ea7\u7684\u5757\u6269\u6563\u6a21\u578b\u8fdb\u884c\u5e76\u884c\u8349\u7a3f\u3002\u6211\u4eec\u8868\u660e\uff0c\u6295\u673a\u89e3\u7801\u4e3a\u6269\u6563\u6a21\u578b\u63d0\u4f9b\u4e86\u4e00\u4e2a\u81ea\u7136\u6709\u6548\u7684\u8bbe\u7f6e\u3002\u901a\u8fc7\u5728\u4e00\u6b21\u524d\u5411\u4f20\u9012\u4e2d\u751f\u6210\u8349\u7a3f token\uff0cDFlash \u5b9e\u73b0\u4e86\u9ad8\u6548\u7684\u8349\u7a3f\uff0c\u5e76\u901a\u8fc7\u5c06\u8349\u7a3f\u6a21\u578b\u6761\u4ef6\u5316\u5728\u4ece\u76ee\u6807\u6a21\u578b\u63d0\u53d6\u7684\u4e0a\u4e0b\u6587\u7279\u5f81\u4e0a\uff0c\u5b83\u4ee5\u66f4\u9ad8\u7684\u63a5\u53d7\u7387\u5b9e\u73b0\u4e86\u9ad8\u8d28\u91cf\u7684\u8349\u7a3f\u3002\u5b9e\u9a8c\u8868\u660e\uff0cDFlash \u5728\u4e00\u7cfb\u5217\u6a21\u578b\u548c\u4efb\u52a1\u4e0a\u5b9e\u73b0\u4e86\u8d85\u8fc7 <span class=\"katex-eq\" data-katex-display=\"false\"> 6\\times <\/span> \u7684\u65e0\u635f\u52a0\u901f\uff0c\u4e0e\u6700\u5148\u8fdb\u7684\u6295\u673a\u89e3\u7801\u65b9\u6cd5 EAGLE-3 \u76f8\u6bd4\uff0c\u901f\u5ea6\u63d0\u9ad8\u4e86 <span class=\"katex-eq\" data-katex-display=\"false\"> 2.5\\times <\/span>\u3002<\/p>\n<h3>Introdution<\/h3>\n<p>\u5927\u8bed\u8a00\u6a21\u578b (LLMs) \u5df2\u7ecf\u5b9e\u73b0\u4e86\u5e7f\u6cdb\u7684\u5f3a\u5927\u5e94\u7528\uff0c\u5305\u62ec\u5bf9\u8bdd\u5f0f\u4ee3\u7406 (Yang et al., 2025; Guo et al., 2025) \u548c\u81ea\u52a8\u5316\u7f16\u7a0b\u5de5\u5177\u3002\u5c3d\u7ba1\u53d6\u5f97\u4e86\u6210\u529f\uff0cLLM \u63a8\u7406\u4ecd\u7136\u4ee5\u9010\u4e2a token \u7684\u987a\u5e8f\u751f\u6210\u8fc7\u7a0b\u4e3a\u4e3b\u5bfc\uff0c\u5176\u4e2d\u6bcf\u4e2a\u8f93\u51fa\u90fd\u4f9d\u8d56\u4e8e\u5b8c\u6574\u7684\u5148\u524d\u4e0a\u4e0b\u6587\u3002\u8fd9\u79cd\u56fa\u6709\u7684\u4e32\u884c\u6027\u9020\u6210\u4e86\u4e3b\u8981\u7684\u6027\u80fd\u74f6\u9888\uff1a\u63a8\u7406\u901f\u5ea6\u6162\u3001\u5185\u5b58\u53d7\u9650\uff0c\u5e76\u4e14\u672a\u80fd\u5145\u5206\u5229\u7528\u73b0\u4ee3 GPU\u3002\u968f\u7740\u6700\u8fd1\u51fa\u73b0\u7684\u957f\u601d\u60f3\u94fe\uff08CoT\uff09\u63a8\u7406\u6a21\u578b\uff08OpenAI \u7b49\u4eba\uff0c2024\uff1bGuo \u7b49\u4eba\uff0c2025\uff09\uff0c\u8fd9\u4e2a\u74f6\u9888\u53d8\u5f97\u8d8a\u6765\u8d8a\u4e25\u91cd\uff0c\u56e0\u4e3a\u5ef6\u957f\u7684\u63a8\u7406\u65f6\u95f4\u73b0\u5728\u4e3b\u5bfc\u4e86\u751f\u6210\u8fc7\u7a0b\u3002<br \/>\n\u63a8\u6d4b\u6027\u89e3\u7801 (Leviathan \u7b49\u4eba\uff0c2023; Li \u7b49\u4eba\uff0c2025c, 2024, b; Cai \u7b49\u4eba\uff0c2024) \u5df2\u6210\u4e3a\u89e3\u51b3\u8fd9\u4e00\u74f6\u9888\u7684\u4e3b\u8981\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u8303\u4f8b\u91c7\u7528\u8f7b\u91cf\u7ea7\u8349\u7a3f\u6a21\u578b\u6765\u63a8\u6d4b\u672a\u6765 Token \u7684\u5e8f\u5217\uff0c\u7136\u540e\u7531\u5927\u578b\u76ee\u6807\u6a21\u578b\u5e76\u884c\u9a8c\u8bc1\u3002\u867d\u7136\u8fd9\u79cd\u65b9\u6cd5\u5b9e\u73b0\u4e86\u65e0\u635f\u52a0\u901f\u5e76\u5df2\u5e7f\u6cdb\u96c6\u6210\u5230\u751f\u4ea7\u6846\u67b6\u4e2d\uff0c\u4f46 EAGLE-3 (Li \u7b49\u4eba\uff0c2025b) \u7b49\u6700\u5148\u8fdb\u7684\u65b9\u6cd5\u4ecd\u7136\u4f9d\u8d56\u4e8e\u81ea\u56de\u5f52\u7ed8\u56fe\u3002\u8fd9\u79cd\u4e32\u884c\u7ed8\u56fe\u8fc7\u7a0b\u4e0d\u4ec5\u672c\u8d28\u4e0a\u6548\u7387\u4f4e\u4e0b\uff0c\u800c\u4e14\u5bb9\u6613\u53d7\u5230\u9519\u8bef\u7d2f\u79ef\u7684\u5f71\u54cd\uff0c\u8fd9\u5b9e\u9645\u4e0a\u5c06\u53ef\u5b9e\u73b0\u7684\u52a0\u901f\u9650\u5236\u5728\u5927\u7ea6 <span class=\"katex-eq\" data-katex-display=\"false\"> 2-3\\times <\/span>\u3002<br \/>\n\u6700\u8fd1\uff0c\u6269\u6563 LLM (dLLM) \uff08Nie \u7b49\u4eba\uff0c2025\uff09 \u901a\u8fc7\u5b9e\u73b0\u5e76\u884c\u6587\u672c\u751f\u6210\u548c\u53cc\u5411\u4e0a\u4e0b\u6587\u5efa\u6a21\uff0c\u4e3a\u81ea\u56de\u5f52 LLM \u63d0\u4f9b\u4e86\u4e00\u79cd\u6709\u524d\u666f\u7684\u66ff\u4ee3\u65b9\u6848\u3002\u5757\u6269\u6563\u6a21\u578b\uff08Arriola \u7b49\u4eba\uff0c2025\uff1bCheng \u7b49\u4eba\uff0c2025\uff1bWu \u7b49\u4eba\uff0c2025\uff09\u53ef\u4ee5\u540c\u65f6\u5bf9\u5c4f\u853d Token \u5757\u8fdb\u884c\u53bb\u566a\u3002\u7136\u800c\uff0c\u5f53\u524d\u7684\u5f00\u6e90 dLLM \u5728\u751f\u6210\u8d28\u91cf\u65b9\u9762\u901a\u5e38\u4e0d\u5982\u81ea\u56de\u5f52\u540c\u884c\u3002\u6b64\u5916\uff0c\u4fdd\u6301\u53ef\u63a5\u53d7\u7684\u8f93\u51fa\u8d28\u91cf\u901a\u5e38\u9700\u8981\u5927\u91cf\u7684\u53bb\u566a\u6b65\u9aa4\uff0c\u8fd9\u4f1a\u663e\u7740\u964d\u4f4e\u5176\u539f\u59cb\u63a8\u7406\u901f\u5ea6\uff08Qian \u7b49\u4eba\uff0c2026\uff09\u3002<br \/>\n\u8fd9\u79cd\u60c5\u51b5\u63ed\u793a\u4e86\u4e00\u4e2a\u5173\u952e\u7684\u6743\u8861\uff1a\u81ea\u56de\u5f52\u6a21\u578b\u63d0\u4f9b\u5353\u8d8a\u7684\u6027\u80fd\uff0c\u4f46\u4f1a\u53d7\u5230\u987a\u5e8f\u5ef6\u8fdf\u7684\u5f71\u54cd\uff0c\u800c\u6269\u6563\u6a21\u578b\u5141\u8bb8\u5feb\u901f\u3001\u5e76\u884c\u751f\u6210\uff0c\u4f46\u901a\u5e38\u4ee5\u51c6\u786e\u6027\u4e3a\u4ee3\u4ef7\u3002\u4e00\u4e2a\u81ea\u7136\u7684\u7814\u7a76\u95ee\u9898\u5982\u4e0b\uff1a \u6211\u4eec\u80fd\u5426\u7ed3\u5408\u4e24\u79cd\u8303\u5f0f\u7684\u4f18\u70b9\uff0c\u540c\u65f6\u51cf\u8f7b\u5404\u81ea\u7684\u7f3a\u70b9\uff1f \u4e00\u4e2a\u5f15\u4eba\u6ce8\u76ee\u7684\u89e3\u51b3\u65b9\u6848\u5728\u4e8e\u5229\u7528\u6269\u6563\u6a21\u578b\u8fdb\u884c\u9ad8\u901f\u3001\u5e76\u884c\u7ed8\u56fe\uff0c\u540c\u65f6\u4f9d\u9760\u9ad8\u8d28\u91cf\u7684\u81ea\u56de\u5f52\u6a21\u578b\u8fdb\u884c\u9a8c\u8bc1\uff0c\u4ee5\u786e\u4fdd\u6700\u7ec8\u8f93\u51fa\u4fdd\u6301\u65e0\u635f\u3002<br \/>\n\u7136\u800c\uff0c\u5229\u7528\u6269\u6563\u6a21\u578b\u8fdb\u884c\u8349\u7a3f\u751f\u6210\u5e76\u975e\u6613\u4e8b\uff0c\u73b0\u6709\u65b9\u6cd5\u8981\u4e48\u4e0d\u5207\u5b9e\u9645\uff0c\u8981\u4e48\u53ea\u80fd\u63d0\u4f9b\u6709\u9650\u7684\u901f\u5ea6\u63d0\u5347\u3002 DiffuSpec (Li et al., 2025a) \u548c SpecDiff-2 (Sandler et al., 2025) \u7b49\u65b9\u6cd5\u4f7f\u7528\u4e86\u5927\u89c4\u6a21\uff08\u4f8b\u5982.\uff0c7B \u53c2\u6570\uff09\u7684\u8349\u7a3f\u6a21\u578b\u3002 \u8fd9\u79cd\u5de8\u5927\u7684\u5185\u5b58\u5360\u7528\u5bf9\u4e8e\u5b9e\u9645\u90e8\u7f72\u800c\u8a00\u5f80\u5f80\u4ee3\u4ef7\u9ad8\u6602\u3002 \u6b64\u5916\uff0c\u5c3d\u7ba1\u8fd9\u4e9b\u5927\u578b\u8349\u7a3f\u6a21\u578b\u80fd\u591f\u751f\u6210\u8d28\u91cf\u76f8\u5bf9\u8f83\u9ad8\u4e14\u63a5\u53d7\u957f\u5ea6\u8f83\u957f\u7684\u8349\u7a3f token\uff0c\u4f46\u9ad8\u8349\u7a3f\u5ef6\u8fdf\u5c06\u5176\u5b9e\u9645\u901f\u5ea6\u63d0\u5347\u9650\u5236\u5728\u9002\u5ea6\u7684 <span class=\"katex-eq\" data-katex-display=\"false\"> 3-4\\times <\/span>\u3002 \u76f8\u6bd4\u4e4b\u4e0b\uff0cPARD (An et al., 2025) \u8bad\u7ec3\u5c0f\u578b\u81ea\u56de\u5f52\u6a21\u578b\u6765\u6a21\u4eff\u6269\u6563\u98ce\u683c\u7684\u5e76\u884c\u751f\u6210\uff0c\u7136\u540e\u4e3a\u76ee\u6807 LLM \u6267\u884c\u63a8\u6d4b\u89e3\u7801\u3002 \u7136\u800c\uff0c\u7531\u6b64\u4ea7\u751f\u7684\u5c0f\u578b\u6a21\u578b\u7f3a\u4e4f\u76ee\u6807 LLM \u7684\u5efa\u6a21\u80fd\u529b\uff0c\u5bfc\u81f4\u63a5\u53d7\u957f\u5ea6\u6709\u9650\uff0c\u901f\u5ea6\u63d0\u5347\u4e0a\u9650\u7ea6\u4e3a <span class=\"katex-eq\" data-katex-display=\"false\"> 3\\times <\/span>\u3002<br \/>\n\u771f\u7684 \u201c\u6ca1\u6709\u514d\u8d39\u7684\u5348\u9910\u201d \u5417\uff1f \u6211\u4eec\u80fd\u5426\u6784\u5efa\u4e00\u4e2a\u65e2\u8f7b\u91cf\u53c8\u9ad8\u7cbe\u5ea6\u7684\u6269\u6563\u8349\u7a3f\u6a21\u578b\uff1f<br \/>\n\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86 DFlash\uff0c\u8fd9\u662f\u4e00\u4e2a\u63a8\u6d4b\u89e3\u7801\u6846\u67b6\uff0c\u5b83\u4f7f\u7528\u8f7b\u91cf\u7ea7\u7684\u5757\u6269\u6563\u6a21\u578b\u6765\u5b9e\u73b0\u5feb\u901f\u4e14\u9ad8\u8d28\u91cf\u7684\u8349\u7a3f\u751f\u6210\u3002 \u6211\u4eec\u7684\u6838\u5fc3\u89c1\u89e3\u5f88\u7b80\u5355\uff1a\u76ee\u6807\u6a21\u578b\u6700\u4e86\u89e3\u3002 \u6b63\u5982 Samragh et al. (2025) \u6240\u89c2\u5bdf\u5230\u7684\uff0c\u5927\u578b\u81ea\u56de\u5f52 LLM \u7684\u9690\u85cf\u7279\u5f81\u9690\u542b\u4e86\u5173\u4e8e\u591a\u4e2a\u672a\u6765 token \u7684\u4fe1\u606f\u3002 DFlash \u5229\u7528\u8fd9\u4e9b\u9690\u85cf\u7279\u5f81\u4f5c\u4e3a\u4e0a\u4e0b\u6587\uff0c\u6761\u4ef6\u5316\u8349\u7a3f\u6a21\u578b\u4ee5\u5e76\u884c\u9884\u6d4b\u672a\u6765\u7684 token \u5757\u3002 \u5b9e\u9645\u4e0a\uff0c\u8349\u7a3f\u6a21\u578b\u53d8\u6210\u4e86\u4e00\u4e2a\u6269\u6563\u9002\u914d\u5668\uff0c\u5b83\u6709\u6548\u5730\u5229\u7528\u4e86\u5927\u578b\u76ee\u6807\u6a21\u578b\u6240\u5efa\u6a21\u7684\u6df1\u5ea6\u4e0a\u4e0b\u6587\u7279\u5f81\u3002 DFlash \u6ca1\u6709\u8981\u6c42\u4e00\u4e2a\u5fae\u5c0f\u7684\u8349\u7a3f\u6a21\u578b\u4ece\u5934\u5f00\u59cb\u63a8\u7406\uff0c\u800c\u662f\u5c06\u76ee\u6807\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u4e0e\u5c0f\u578b\u6269\u6563\u8349\u7a3f\u6a21\u578b\u7684\u5e76\u884c\u751f\u6210\u901f\u5ea6\u76f8\u7ed3\u5408\u3002<br \/>\n\u6211\u4eec\u5728\u5e7f\u6cdb\u7684\u6a21\u578b\u548c\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u8bc4\u4f30 DFlash\uff0c\u5e76\u4f7f\u7528 SGLang (Zheng et al., 2024) \u5728\u5b9e\u9645\u90e8\u7f72\u573a\u666f\u4e0b\u5c55\u793a\u4e86\u5b83\u7684\u5b9e\u9645\u6548\u76ca\u3002 \u6b63\u5982 Figure 1 \u6240\u793a\uff0cDFlash \u5728 Qwen3-8B (Yang et al., 2025) \u4e0a\u5b9e\u73b0\u4e86\u9ad8\u8fbe <span class=\"katex-eq\" data-katex-display=\"false\"> 6.1\\times <\/span> \u7684\u901f\u5ea6\u63d0\u5347\uff0c\u5e76\u4e14\u5728\u5927\u591a\u6570\u57fa\u51c6\u6d4b\u8bd5\u4e0a\u6bd4\u6700\u5148\u8fdb\u7684 EAGLE-3 \u5feb\u8fd1 <span class=\"katex-eq\" data-katex-display=\"false\"> 2.5\\times <\/span>\u3002 \u6211\u4eec\u76f8\u4fe1 DFlash \u5728\u52a0\u901f\u5927\u8bed\u8a00\u6a21\u578b\u63a8\u7406\u548c\u666e\u53ca\u9ad8\u6027\u80fd\u4eba\u5de5\u667a\u80fd\u65b9\u9762\u53d6\u5f97\u4e86\u91cd\u5927\u8fdb\u5c55\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/youpaiyun.lingbo.online\/2026\/06\/20260603095554674.jpg\" alt=\"\" \/><\/p>\n<p><center>\u56fe1\uff1aDFlash\u3001EAGLE-3 \u4e0e\u4f7f\u7528 Transformers \u540e\u7aef\u7684 Qwen3-8B \uff08Yang \u7b49\u4eba\uff0c2025\uff09 \u4e0a\u7684\u81ea\u56de\u5f52\u89e3\u7801\u4e4b\u95f4\u7684\u52a0\u901f\u6bd4\u8f83\u3002 \u603b\u4f53\u800c\u8a00\uff0cDFlash \u7684\u52a0\u901f\u6bd4 EAGLE-3 \u9ad8\u51fa 2.5 \u500d\u4ee5\u4e0a\u3002<\/center><\/p>\n<h3>\u76f8\u5173\u5de5\u4f5c<\/h3>\n<h4>\u6295\u673a\u89e3\u7801\uff08Speculative Decoding\uff09<\/h4>\n<p>\u63a8\u6d4b\u89e3\u7801\u901a\u8fc7\u51cf\u8f7b\u81ea\u56de\u5f52\u751f\u6210\u7684\u987a\u5e8f\u74f6\u9888\u6765\u52a0\u901f\u5927\u8bed\u8a00\u6a21\u578b\u7684\u63a8\u7406\u3002 \u65e9\u671f\u7684 (Leviathan et al., 2023) \u65b9\u6cd5\u91c7\u7528\u4e00\u4e2a\u8f83\u5c0f\u7684\u8349\u7a3f\u6a21\u578b\u6765\u63d0\u8bae token \u5e8f\u5217\uff0c\u7136\u540e\u7531\u4e00\u4e2a\u8f83\u5927\u7684\u76ee\u6807\u6a21\u578b\u5e76\u884c\u9a8c\u8bc1\u3002 Medusa (Cai et al., 2024) \u901a\u8fc7\u589e\u5f3a\u57fa\u7840\u5927\u8bed\u8a00\u6a21\u578b\u5e76\u6dfb\u52a0\u591a\u4e2a\u9884\u6d4b\u5934\uff0c\u5e76\u4f7f\u7528\u6811\u6ce8\u610f\u529b\u8fdb\u884c\u5e76\u884c\u9a8c\u8bc1\uff0c\u4ece\u800c\u6d88\u9664\u4e86\u5916\u90e8\u8349\u7a3f\u6a21\u578b\u3002 EAGLE \u7cfb\u5217 (Li et al., 2025c, 2024, b) \u901a\u8fc7\u5229\u7528\u51bb\u7ed3\u7684\u76ee\u6807\u6a21\u578b\u7684\u7279\u5f81\u7ea7\u4e0a\u4e0b\u6587\uff0c\u8fdb\u4e00\u6b65\u6539\u8fdb\u4e86\u63a8\u6d4b\u89e3\u7801\u3002 EAGLE-1 \u9884\u6d4b\u672a\u6765\u7684\u9690\u85cf\u72b6\u6001\u5206\u5e03\u4ee5\u63d0\u9ad8\u63a5\u53d7\u7387\uff0cEAGLE-2 \u5f15\u5165\u4e86\u81ea\u9002\u5e94\u8349\u7a3f\u6811\uff0cEAGLE-3 \u7cbe\u70bc\u4e86\u8bad\u7ec3\u76ee\u6807\u4ee5\u52a0\u901f\u63d0\u901f\u3002<br \/>\n\u5c3d\u7ba1\u53d6\u5f97\u4e86\u8fd9\u4e9b\u8fdb\u5c55\uff0c\u4f46\u5927\u591a\u6570\u73b0\u6709\u65b9\u6cd5\u4f9d\u8d56\u4e8e\u81ea\u56de\u5f52\u8349\u7a3f\uff0c\u8fd9\u4ecd\u7136\u662f\u987a\u5e8f\u7684\uff0c\u9650\u5236\u4e86\u5b83\u4eec\u7684\u52a0\u901f\u6548\u679c\u3002<\/p>\n<h4>\u6269\u6563\u8bed\u8a00\u6a21\u578b<\/h4>\n<p>\u6269\u6563\u5927\u578b\u8bed\u8a00\u6a21\u578b (dLLMs) \u901a\u8fc7\u5e76\u884c\u9884\u6d4b\u63a9\u7801 token\uff0c\u63d0\u4f9b\u4e86\u4e00\u79cd\u66ff\u4ee3\u81ea\u56de\u5f52\u751f\u6210\u7684\u65b9\u6cd5\u3002 LLaDA (Nie et al., 2025) \u662f\u7b2c\u4e00\u4e2a\u5c06 dLLMs \u6269\u5c55\u5230\u6570\u5341\u4ebf\u53c2\u6570\u7684\u6a21\u578b\uff0c\u5176\u6027\u80fd\u53ef\u4e0e LLaMA-3.1-8B (Grattafiori et al., 2024) \u76f8\u5ab2\u7f8e\u3002 \u7136\u800c\uff0c\u5168\u5e76\u884c\u6269\u6563\u6a21\u578b\u5b58\u5728\u751f\u6210\u957f\u5ea6\u56fa\u5b9a\u548c\u7f3a\u4e4f\u9ad8\u6548 KV \u7f13\u5b58\u652f\u6301\u7684\u95ee\u9898\u3002 \u5757\u6269\u6563\u6a21\u578b (Arriola et al., 2025) \u901a\u8fc7\u9010\u5757\u53bb\u566a\u5e8f\u5217\u6765\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\uff0c\u5c06\u5e76\u884c\u6027\u4e0e\u81ea\u56de\u5f52\u7ed3\u6784\u76f8\u7ed3\u5408\u3002 \u57fa\u4e8e\u8fd9\u4e00\u601d\u60f3\uff0cFast-dLLM v2 (Wu et al., 2025) \u548c SDAR (Cheng et al., 2025) \u5c06\u9884\u8bad\u7ec3\u7684\u81ea\u56de\u5f52\u5927\u8bed\u8a00\u6a21\u578b\u6539\u7f16\u4e3a\u5757\u6269\u6563\u53d8\u4f53\uff0c\u5b9e\u73b0\u4e86\u5e76\u884c\u751f\u6210\uff0c\u540c\u65f6\u5728\u7279\u5b9a\u4efb\u52a1\u4e0a\u4fdd\u6301\u4e86\u751f\u6210\u8d28\u91cf\u3002 \u5c3d\u7ba1\u5982\u6b64\uff0c\u73b0\u6709\u7684 dLLMs \u901a\u5e38\u6027\u80fd\u4e0d\u5982\u6700\u5148\u8fdb\u7684\u81ea\u56de\u5f52\u6a21\u578b\uff0c\u5e76\u4e14\u901a\u5e38\u9700\u8981\u5927\u91cf\u7684\u53bb\u566a\u6b65\u9aa4\uff0c\u8fd9\u9650\u5236\u4e86\u5b83\u4eec\u7684\u5b9e\u9645\u63a8\u7406\u901f\u5ea6\u3002<\/p>\n<h4>\u57fa\u4e8e\u6269\u6563\u7684\u6295\u673a\u89e3\u7801\uff08Diffusion-based Speculative Decoding\uff09<\/h4>\n<p>\u6700\u8fd1\u7684\u5de5\u4f5c\u63a2\u7d22\u4f7f\u7528\u6269\u6563\u6a21\u578b\u4f5c\u4e3a\u63a8\u6d4b\u89e3\u7801\u4e2d\u7684\u8d77\u8349\u8005\u3002 TiDAR (Liu \u7b49\u4eba, 2025) \u8054\u5408\u8bad\u7ec3\u6269\u6563\u548c\u81ea\u56de\u5f52\u76ee\u6807\uff0c\u901a\u8fc7\u6269\u6563\u5b9e\u73b0\u5e76\u884c\u201c\u601d\u8003\u201d\uff0c\u901a\u8fc7\u81ea\u56de\u5f52\u89e3\u7801\u5b9e\u73b0\u987a\u5e8f\u201c\u8bf4\u8bdd\u201d\uff0c\u5c3d\u7ba1\u6700\u7ec8\u751f\u6210\u8d28\u91cf\u5c1a\u672a\u65e0\u635f\u3002<br \/>\n\u5176\u4ed6\u65b9\u6cd5\u5c06\u81ea\u56de\u5f52\u6a21\u578b\u91cd\u65b0\u7528\u4e8e\u6269\u6563\u5f0f\u7ed8\u56fe\u3002 Samragh \u7b49\u4eba (2025) \u89c2\u5bdf\u5230\u81ea\u56de\u5f52 LLM \u9690\u5f0f\u7f16\u7801\u672a\u6765 Token \u4fe1\u606f\u5e76\u8bad\u7ec3 LoRA \u9002\u914d\u5668\u4ee5\u5b9e\u73b0\u5e76\u884c\u8d77\u8349\uff0c\u540c\u65f6\u4fdd\u7559\u7528\u4e8e\u9a8c\u8bc1\u7684\u57fa\u672c\u6a21\u578b\u3002<br \/>\nDiffuSpec (Li \u7b49\u4eba, 2025a) \u548c SpecDiff-2 (Sandler \u7b49\u4eba, 2025) \u91c7\u7528\u5927\u578b\u9884\u8bad\u7ec3 dLLM \u4f5c\u4e3a\u63a8\u6d4b\u8d77\u8349\u8005\uff0c\u901a\u8fc7\u63a8\u7406\u65f6\u95f4\u641c\u7d22\u6216\u8bad\u7ec3\u6d4b\u8bd5\u5bf9\u9f50\u6765\u63d0\u9ad8\u63a5\u53d7\u5ea6\u3002 \u7136\u800c\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u4f9d\u8d56\u4e8e\u5927\u91cf\u7684\u8d77\u8349\u8005(\u4f8b\u5982.\uff0c7B\u53c2\u6570\uff09\uff0c\u5bfc\u81f4\u5927\u91cf\u7684\u5185\u5b58\u548c\u5ef6\u8fdf\u5f00\u9500\u3002 \u867d\u7136\u5b83\u4eec\u5b9e\u73b0\u4e86\u8f83\u957f\u7684\u63a5\u53d7\u957f\u5ea6\uff0c\u4f46\u9ad8\u6602\u7684\u8d77\u8349\u6210\u672c\u5f80\u5f80\u62b5\u6d88\u4e86\u73b0\u5b9e\u670d\u52a1\u573a\u666f\u4e2d\u7684\u5b9e\u9645\u52a0\u901f\u3002<\/p>\n<h3>\u51c6\u5907\u5de5\u4f5c<\/h3>\n<p>\u672c\u8282\u5f62\u5f0f\u5316\u4e86\u63a8\u6d4b\u89e3\u7801\u7684\u52a0\u901f\u673a\u5236\uff0c\u5e76\u9610\u660e\u4e86\u81ea\u56de\u5f52\u548c\u57fa\u4e8e\u6269\u6563\u7684\u8d77\u8349\u4e4b\u95f4\u7684\u6548\u7387\u6743\u8861\u3002\u6211\u4eec\u7684\u5206\u6790\u5f3a\u8c03\u4e86\u4e3a\u4ec0\u4e48\u6269\u6563\u8d77\u8349\u8005\u5177\u6709\u72ec\u7279\u7684\u4f18\u52bf\uff0c\u53ef\u4ee5\u5b9e\u73b0\u4f4e\u8d77\u8349\u5ef6\u8fdf\u548c\u9ad8\u63a5\u53d7\u7387\u3002<\/p>\n<h4>\u63a8\u6d4b\u89e3\u7801\u52a0\u901f<\/h4>\n<p>\u63a8\u6d4b\u6027\u89e3\u7801\u4f7f\u7528\u8f83\u5c0f\u7684\u8349\u7a3f\u6a21\u578b <span class=\"katex-eq\" data-katex-display=\"false\">\\mathcal {M}_d <\/span> \u52a0\u901f\u76ee\u6807\u6a21\u578b <span class=\"katex-eq\" data-katex-display=\"false\">\\mathcal {M}_t <\/span> \u7684\u63a8\u7406\u3002\u5728\u6bcf\u4e2a\u89e3\u7801\u5468\u671f\u4e2d\uff0c\u8349\u7a3f\u6a21\u578b\u90fd\u4f1a\u63d0\u51fa <span class=\"katex-eq\" data-katex-display=\"false\">\\gamma <\/span> \u6807\u8bb0\uff0c\u8fd9\u4e9b\u6807\u8bb0\u7531\u76ee\u6807\u6a21\u578b\u5e76\u884c\u9a8c\u8bc1\u3002<br \/>\n\u5728 Sadhukhan \u7b49\u4eba (2025) \u4e4b\u540e\uff0c\u6bcf\u4e2a Token \u7684\u5e73\u5747\u5ef6\u8fdf\u4e3a<\/p>\n<span class=\"katex-eq\" data-katex-display=\"false\">L = \\frac{T_{\\text{draft}} + T_{\\text{verify}}}{\\tau}<\/span>\n<p>\u5176\u4e2d <span class=\"katex-eq\" data-katex-display=\"false\"> T_{\\text {draft}}<\/span> \u662f\u751f\u6210\u8349\u7a3f Token \u6240\u82b1\u8d39\u7684\u65f6\u95f4\uff0c<span class=\"katex-eq\" data-katex-display=\"false\"> T_{\\text {verify}}<\/span> \u662f\u9a8c\u8bc1\u6210\u672c\uff0c<span class=\"katex-eq\" data-katex-display=\"false\">\\tau\\in [1,\\gamma+1]<\/span> \u662f\u6bcf\u4e2a\u5468\u671f\u63a5\u53d7\u7684 Token \u7684\u9884\u671f\u6570\u91cf\uff0c\u5305\u62ec\u76ee\u6807\u6a21\u578b\u4ea7\u751f\u7684\u5956\u52b1 Token\u3002\u4ee4 <span class=\"katex-eq\" data-katex-display=\"false\"> L_{\\text {target}}<\/span> \u8868\u793a <span class=\"katex-eq\" data-katex-display=\"false\">\\mathcal {M}t <\/span> \u7684\u6bcf\u4e2a Token \u7684\u81ea\u56de\u5f52\u5ef6\u8fdf\uff1b\u6700\u7ec8\u7684\u52a0\u901f\u6bd4\u662f<br \/>\n<span class=\"katex-eq\" data-katex-display=\"false\">\n\n\\eta = \\frac {L{\\text{target}}}{L}\n\n<\/span><br \/>\n\u8be5\u8868\u8fbe\u5f0f\u4f7f\u6743\u8861\u53d8\u5f97\u660e\u786e\uff1a\u901a\u8fc7\u589e\u52a0\u9884\u671f\u63a5\u53d7\u957f\u5ea6 <span class=\"katex-eq\" data-katex-display=\"false\">\\tau <\/span> \u6216\u51cf\u5c11\u8d77\u8349\u5f00\u9500 <span class=\"katex-eq\" data-katex-display=\"false\"> T_{\\text {draft}}<\/span> \u6765\u63d0\u9ad8\u901f\u5ea6\u3002<\/p>\n<h4>\u81ea\u56de\u5f52\uff08Autoregressive\uff09vs. \u6269\u6563\u7ed8\u56fe\uff08Diffusion Drafting\uff09<\/h4>\n","protected":false},"excerpt":{"rendered":"<p>Meta Data \u53d1\u8868\u65f6\u95f4 2026-02-12 \u4f5c\u8005\uff1aJian Chen, Yesheng Liang, Zhijian Li &#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"emotion":"","emotion_color":"","title_style":"","license":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-1583","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/lingbo.online\/index.php\/wp-json\/wp\/v2\/posts\/1583","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lingbo.online\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lingbo.online\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lingbo.online\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lingbo.online\/index.php\/wp-json\/wp\/v2\/comments?post=1583"}],"version-history":[{"count":9,"href":"https:\/\/lingbo.online\/index.php\/wp-json\/wp\/v2\/posts\/1583\/revisions"}],"predecessor-version":[{"id":1593,"href":"https:\/\/lingbo.online\/index.php\/wp-json\/wp\/v2\/posts\/1583\/revisions\/1593"}],"wp:attachment":[{"href":"https:\/\/lingbo.online\/index.php\/wp-json\/wp\/v2\/media?parent=1583"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lingbo.online\/index.php\/wp-json\/wp\/v2\/categories?post=1583"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lingbo.online\/index.php\/wp-json\/wp\/v2\/tags?post=1583"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}