{"id":271,"date":"2025-12-14T13:29:09","date_gmt":"2025-12-14T05:29:09","guid":{"rendered":"https:\/\/blog.zeronely.cn\/?p=271"},"modified":"2025-12-14T13:29:11","modified_gmt":"2025-12-14T05:29:11","slug":"%e5%85%b3%e4%ba%8etokens%e5%8e%8b%e7%bc%a9%e7%9a%84%e8%ae%ba%e6%96%87%e9%98%85%e8%af%bb","status":"publish","type":"post","link":"https:\/\/blog.zeronely.cn\/index.php\/2025\/12\/14\/%e5%85%b3%e4%ba%8etokens%e5%8e%8b%e7%bc%a9%e7%9a%84%e8%ae%ba%e6%96%87%e9%98%85%e8%af%bb\/","title":{"rendered":"\u5173\u4e8etokens\u538b\u7f29\u7684\u8bba\u6587\u9605\u8bfb"},"content":{"rendered":"\n

\u8bba\u6587\u9605\u8bfb<\/h1>\n\n\n\n

TokenSkip: Controllable Chain-of-Thought Compression in LLMs<\/h2>\n\n\n\n

\u63d0\u51faTokenSkip\u65b9\u6cd5\uff0c\u9488\u5bf9\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u4e2d\u601d\u7ef4\u94fe\uff08CoT\uff09\u63a8\u7406\u5b58\u5728\u7684\u957f\u5e8f\u5217\u5bfc\u81f4\u63a8\u7406\u5ef6\u8fdf\u9ad8\u7684\u95ee\u9898\uff0c\u57fa\u4e8e CoT tokens \u8bed\u4e49\u91cd\u8981\u6027\u5dee\u5f02\u7684\u6838\u5fc3\u6d1e\u5bdf\uff0c\u901a\u8fc7\u4fee\u526a\u4f4e\u91cd\u8981\u6027 tokens \u5e76\u5fae\u8c03\u6a21\u578b\uff0c\u5b9e\u73b0\u53ef\u63a7\u7684 CoT \u538b\u7f29<\/p>\n\n\n\n

\u5177\u4f53\u5b9e\u73b0<\/p>\n\n\n\n

Token\u4fee\u526a<\/strong> tokenSkip\u4f1a\u6839\u636e\u6bcf\u4e2atoken\u7684\u8bed\u4e49\u91cd\u8981\u6027\u8fdb\u884c\u6392\u5e8f\uff0c\u7136\u540e\u6839\u636e\u8bbe\u5b9a\u7684\u538b\u7f29\u6bd4\u4f8b\uff0c\u4fdd\u7559\u6700\u91cd\u8981\u7684token<\/p>\n\n\n\n

\u8bad\u7ec3<\/strong> \u7528\u4fee\u526a\u540e\u7684\u601d\u7ef4\u94fe\u6570\u636e\u5bf9\u5927\u6a21\u578b\u8fdb\u884c\u5fae\u8c03\uff08\u8bad\u7ec3\u6570\u636e\u5305\u597d\u4e0d\u540c\u538b\u7f29\u6bd4\u4f8b\u7684\u601d\u7ef4\u94fe\uff0c\u8ba9\u5927\u6a21\u578b\u5b66\u4f1a\u4e0d\u540c\u538b\u7f29\u6bd4\u4f8b\u4e0b\u7684\u63a8\u7406\uff09<\/p>\n\n\n\n

\u63a8\u7406<\/strong> TokenSkip\u4f1a\u8ba9\u5927\u6a21\u578b\u6839\u636e\u8bbe\u5b9a\u7684\u538b\u7f29\u6bd4\u4f8b\uff0c\u81ea\u52a8\u8df3\u8fc7\u90a3\u4e9b\u4e0d\u91cd\u8981\u7684token\uff0c\u751f\u6210\u538b\u7f29\u540e\u7684\u601d\u7ef4\u94fe<\/p>\n\n\n\n

\u6838\u5fc3\u5728\u4e8e\uff0c\u5224\u5b9a\u8bed\u4e49\u91cd\u8981\u6027\uff0c\u8fd9\u91cc\u5229\u7528LLMLingua-2<\/p>\n\n\n\n

LLMLingua-2 \u7531\u6e05\u534e\u4e0e\u5fae\u8f6f\u56e2\u961f\u8054\u5408\u63d0\u51fa\uff08LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression<\/strong>\uff09\uff0c\u662f\u9488\u5bf9 \u201c\u957f\u6587\u672c\u63d0\u793a\u8bcd\u6548\u7387\u95ee\u9898\u201d \u7684\u4f18\u5316\u65b9\u6848\u3002<\/p>\n\n\n\n

LLMLingua-2 \u9996\u5148\u5229\u7528 GPT-4 \u5bf9\u5927\u89c4\u6a21\u6587\u672c\uff08\u542b\u63d0\u793a\u8bcd\u3001CoT \u5e8f\u5217\uff09\u8fdb\u884c\u4eba\u5de5\u7ea7\u6807\u6ce8<\/p>\n\n\n\n

\u4ee5 \u201cGPT-4 \u6807\u6ce8\u7684\u91cd\u8981\u6027\u6807\u7b7e\u201d \u4e3a\u76d1\u7763\u4fe1\u53f7\uff0c\u8ba9\u53cc\u5411bert\u6a21\u578b\u5b66\u4e60 \u201c\u5224\u65ad token \u5bf9\u4efb\u52a1\u7ed3\u679c\u7684\u8d21\u732e\u5ea6\u201d<\/p>\n\n\n\n

\u6839\u636e\u7528\u6237\u6307\u5b9a\u7684\u538b\u7f29\u6bd4\uff0c\u6267\u884c\u4ee5\u4e0b\u64cd\u4f5c\uff1a
\u5bf9\u8f93\u5165\u6587\u672c\u7684\u6240\u6709 tokens \u6309 \u201c\u91cd\u8981\u6027\u6982\u7387\u201d \u964d\u5e8f\u6392\u5e8f\uff1b
\u8ba1\u7b97 \u201c\u538b\u7f29\u6bd4\u5bf9\u5e94\u7684\u5206\u4f4d\u6570\u9608\u503c\u201d\uff08\u5982\u538b\u7f29\u6bd4 0.6 \u5bf9\u5e94 \u201c\u524d 60% \u91cd\u8981\u6027 tokens \u7684\u6700\u4f4e\u6982\u7387\u503c\u201d\uff09\uff1b
\u4fdd\u7559\u6240\u6709\u91cd\u8981\u6027\u6982\u7387 \u2265 \u9608\u503c\u7684 tokens\uff0c\u4fee\u526a\u4f4e\u4e8e\u9608\u503c\u7684\u5197\u4f59 tokens\uff0c\u751f\u6210\u538b\u7f29\u540e\u6587\u672c\u3002<\/p>\n\n\n\n

\u53ef\u7528\u6027\u5206\u6790\uff1a\u7b2c\u4e00\u7bc7\u8bba\u6587\u7684\u5de5\u4f5c\u7528\u4e8ecot\u538b\u7f29\uff0c\u76ee\u524d\u53ea\u662f\u5229\u7528\u5927\u6a21\u578b\u751f\u6210\u4e09\u5143\u7ec4\uff0c\u65e0\u663e\u5f0f\u8f93\u51facot\uff0c\u7ecf\u67e5\u8be2\uff0c\u76ee\u524d\u90e8\u7f72\u7684qwen1.5-14b-chat\u4e5f\u65e0\u9690\u5f0f\u601d\u7ef4\u94fe\uff0c\u65e0\u6cd5\u5229\u7528\u8be5\u8bba\u6587\u505atoken\u538b\u7f29\uff1b\u7b2c\u4e8c\u7bc7\u8bba\u6587\u53ef\u7528\u4e8e\u538b\u7f29\u63d0\u793a\u8bcd\uff0c\u7136\u800c\u76ee\u524d\u539f\u672c\u7684\u8f93\u5165\u5c31\u662f\u8f68\u8ff9\u5e8f\u5217\uff0c\u51e0\u4e4e\u65e0\u6cd5\u538b\u7f29\u3002<\/p>\n\n\n\n

\u6570\u636e\u96c6\u8c03\u7814<\/h1>\n\n\n\n

\u57fa\u4e8e\u5168\u7403AIS\u7684\u591a\u6e90\u822a\u8ff9\u5173\u8054\u6570\u636e\u96c6\uff08MTAD\uff09<\/strong><\/p>\n\n\n\n

\u591a\u6e90\u822a\u8ff9\u5173\u8054\u6570\u636e\u96c6\uff08Multi-source Track Association Dataset, MTAD\uff09\u662f\u7531\u5168\u7403AIS\u822a\u8ff9\u6570\u636e\u7ecf\u6805\u683c\u5212\u5206\u3001\u81ea\u52a8\u4e2d\u65ad\u548c\u566a\u58f0\u6dfb\u52a0\u5904\u7406\u6b65\u9aa4\u6784\u5efa\u3002<\/p>\n\n\n\n

\u67e5\u770b\u6570\u636e\u96c6\u8bf4\u660e\u548c\u5177\u4f53\u6587\u4ef6\u5185\u5bb9\u540e\u53d1\u73b0\uff0c\u6570\u636e\u96c6\u805a\u7126\u4e8e\u540c\u4e00\u4e2a\u4f53\u7684\u8f68\u8ff9\u62fc\u63a5\uff0c\u4e0d\u6d89\u53ca\u8239\u8236\u884c\u4e3a\u5173\u7cfb\uff0c\u65e0\u6cd5\u4f7f\u7528<\/p>\n\n\n\n

\u743c\u5dde\u6d77\u5ce1\u8239\u8236\u4ea4\u4e92\u6570\u636e\u96c6<\/strong><\/p>\n\n\n\n

\u4e13\u95e8\u9488\u5bf9\u591a\u8239\u4f1a\u9047\u3001\u907f\u78b0\u7b49\u6838\u5fc3\u4ea4\u4e92\u884c\u4e3a\u6784\u5efa\u7684\u6570\u636e\u96c6 \u7136\u800c\u672a\u5f00\u6e90<\/p>\n\n\n\n

InterHub<\/strong><\/p>\n\n\n\n

\u53ef\u63d0\u53d6\u8f66\u8f86\u4e0e\u8f66\u8f86\u3001\u8f66\u8f86\u4e0e\u884c\u4eba\u7b49\u591a\u7c7b\u4ea4\u901a\u4e2a\u4f53\u7684\u8ddf\u9a70\u3001\u907f\u8ba9\u7b49\u4ea4\u4e92\u5173\u7cfb\uff0c\u8fd8\u80fd\u6355\u6349\u591a\u4e3b\u4f53\u8fde\u9501\u4ea4\u4e92\u884c\u4e3a\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u8bba\u6587\u9605\u8bfb TokenSkip: Controllable Chain-of-Thought Compressi […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-271","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/blog.zeronely.cn\/index.php\/wp-json\/wp\/v2\/posts\/271","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.zeronely.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.zeronely.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.zeronely.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.zeronely.cn\/index.php\/wp-json\/wp\/v2\/comments?post=271"}],"version-history":[{"count":1,"href":"https:\/\/blog.zeronely.cn\/index.php\/wp-json\/wp\/v2\/posts\/271\/revisions"}],"predecessor-version":[{"id":272,"href":"https:\/\/blog.zeronely.cn\/index.php\/wp-json\/wp\/v2\/posts\/271\/revisions\/272"}],"wp:attachment":[{"href":"https:\/\/blog.zeronely.cn\/index.php\/wp-json\/wp\/v2\/media?parent=271"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.zeronely.cn\/index.php\/wp-json\/wp\/v2\/categories?post=271"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.zeronely.cn\/index.php\/wp-json\/wp\/v2\/tags?post=271"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}