{"id":5196,"date":"2026-05-18T23:07:28","date_gmt":"2026-05-18T15:07:28","guid":{"rendered":"https:\/\/www.15zhi.net\/blog\/?p=5196"},"modified":"2026-05-18T23:07:28","modified_gmt":"2026-05-18T15:07:28","slug":"202605-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-a-setwise-approach-for-effective-and-highly-efficient-zero-shot-ranking-with-large-language-models","status":"publish","type":"post","link":"https:\/\/www.15zhi.net\/blog\/202605-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-a-setwise-approach-for-effective-and-highly-efficient-zero-shot-ranking-with-large-language-models\/","title":{"rendered":"202605 \u8bba\u6587\u7814\u8bfb-A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models"},"content":{"rendered":"\n

\u6765\u6e90\uff1aACM SIGIR
\u4f5c\u8005\uff1aShengyao Zhuang\u3001Honglei Zhuang\u7b49
\u5355\u4f4d\uff1aCSIRO\u3001Google Research
\u53d1\u8868\u65f6\u95f4\uff1a2024 \u5e74 7\u6708<\/p>\n\n\n\n

\u7814\u7a76\u80cc\u666f<\/h2>\n\n\n\n

LLM-based Zero-shot Ranking \u7684\u6548\u679c\u2014\u6548\u7387\u77db\u76fe
\u5927\u8bed\u8a00\u6a21\u578b\u5df2\u88ab\u5e7f\u6cdb\u7528\u4e8e\u96f6\u6837\u672c\u6587\u6863\u91cd\u6392\u5e8f\u4efb\u52a1\u3002
\u73b0\u6709\u65b9\u6cd5\u4e3b\u8981\u5206\u4e3a Pointwise\u3001Pairwise \u548cListwise \u4e09\u7c7b\u3002\u5b83\u4eec\u5728\u6392\u5e8f\u6548\u679c\u4e0e\u63a8\u7406\u6548\u7387\u4e4b\u95f4\u5b58\u5728\u660e\u663e\u6743\u8861\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u5982\u4f55\u5728\u4fdd\u6301\u8f83\u9ad8\u6392\u5e8f\u6548\u679c\u7684\u540c\u65f6\uff0c\u663e\u8457\u964d\u4f4e LLM \u63a8\u7406\u5f00\u9500\uff1f<\/p>\n\n\n\n

\u8fd9\u7bc7\u6587\u7ae0\u63d0\u51faSetwise \u2014\u2014 \u4e00\u79cd\u5168\u65b0\u7684\u96c6\u5408\u7ea7\uff08Setwise\uff09\u63d0\u793a\u65b9\u6cd5\uff0c\u65e8\u5728\u89e3\u51b3\u73b0\u6709\u6280\u672f\u4e2d\u6548\u679c\u4e0e\u6548\u7387\u96be\u4ee5\u517c\u5f97\u7684\u75db\u70b9<\/p>\n\n\n\n

\u4e3b\u8981\u6846\u67b6<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u56db\u7c7b Prompting \u8303\u5f0f\u5bf9\u6bd4
Setwise \u53ef\u4ee5\u89c6\u4e3a\u5bf9 Pairwise \u601d\u60f3\u7684\u81ea\u7136\u6269\u5c55\uff1a\u6bd4\u8f83\u7c92\u5ea6\u4ece 2 \u4e2a\u5019\u9009\u63d0\u5347\u5230 1 \u4e2a\u5019\u9009\u96c6\u5408\u3002<\/p>\n\n\n\n

    \n
  • Setwise \u7684\u6838\u5fc3\u601d\u60f3\uff1a\u4e00\u6b21\u6bd4\u8f83\u591a\u4e2a\u5019\u9009<\/li>\n<\/ul>\n\n\n\n
    \"\"<\/figure>\n\n\n\n
      \n
    • \u5bf9 Listwise \u7684\u6539\u9020\u4e0e\u65b9\u6cd5\u6027\u8d28\u603b\u7ed3<\/li>\n<\/ul>\n\n\n\n
      \"\"<\/figure>\n\n\n\n
      \"\"<\/figure>\n\n\n\n

      \u5b9e\u9a8c<\/h2>\n\n\n\n

      \u5b9e\u9a8c\u8bbe\u7f6e<\/h3>\n\n\n\n

      \u4efb\u52a1\u4e0e\u6570\u636e\u96c6
      \u6838\u5fc3\u4efb\u52a1\uff1a\u5bf9 BM25 \u68c0\u7d22\u51fa\u7684\u524d 100 \u7bc7\u5019\u9009\u6587\u6863\u8fdb\u884c\u5927\u6a21\u578b\u96f6\u6837\u672c\u91cd\u6392\uff0c\u76ee\u6807\u627e\u51fa Top-10 \u3002
      \u6743\u5a01\u6570\u636e\uff1aTREC DL 2019\/2020 \u4ee5\u53ca\u6db5\u76d6\u591a\u9886\u57df\u7684 BEIR \u57fa\u51c6\u6570\u636e\u96c6 \u3002
      \u53c2\u6d4b\u6a21\u578b
      \u4e3b\u5b9e\u9a8c\u57fa\u51c6\uff1aFlan-T5 \u7cfb\u5217\uff08780M \/ 3B \/ 11B \u53c2\u6570\uff09\uff0c\u7528\u4e8e\u4e25\u683c\u63a7\u5236\u53d8\u91cf\u7684\u516c\u5e73\u5bf9\u6bd4 \u3002
      \u62d3\u5c55\u9a8c\u8bc1\uff1aLlama2-7b\u3001Vicuna-13b \u4ee5\u53ca\u95ed\u6e90\u7684 GPT-3.5-turbo \u3002
      \u8bc4\u4f30\u53cc\u7ef4\u5ea6\uff1a\u6548\u679c vs. \u6548\u7387
      \u6548\u679c\uff08\u6392\u5f97\u51c6\uff09\uff1a\u91c7\u7528\u5b98\u65b9\u8bc4\u6d4b\u6307\u6807 NDCG@10 \u3002
      \u6548\u7387\uff08\u6392\u5f97\u5feb\uff09\uff1a\u5168\u9762\u8003\u6838 LLM \u8c03\u7528\u6b21\u6570\u3001Token \u6d88\u8017\u91cf\uff08\u8f93\u5165\u4e0e\u751f\u6210\uff09\u3001\u4ee5\u53ca\u5355\u6b21\u67e5\u8be2\u786c\u4ef6\u5ef6\u8fdf\uff08Latency\uff09 \u3002
      \u5173\u952e\u8d85\u53c2\u6570
      Setwise \u6838\u5fc3\u8bbe\u5b9a\uff1a\u6bcf\u6b65\u8ba9\u5927\u6a21\u578b\u540c\u65f6\u5bf9\u6bd4 3 \u7bc7\u6587\u6863\uff08c=3\uff09 \u3002
      \u4e0a\u4e0b\u6587\u9650\u5236\uff1a\u5355\u7bc7\u6587\u6863\u6700\u5927\u622a\u65ad\u81f3 128 Tokens \u3002<\/p>\n\n\n\n

      \u603b\u4f53\u6027\u80fd<\/h3>\n\n\n\n
      \"\"<\/figure>\n\n\n\n

      Pointwise\u867d\u7136\u7531\u4e8e\u652f\u6301\u6279\u5904\u7406\u800c\u901f\u5ea6\u6700\u5feb\uff0c\u4f46\u6392\u5e8f\u51c6\u786e\u5ea6\u8f83\u5dee\uff0c\u4e14\u5176\u6548\u679c\u751a\u81f3\u4f1a\u968f\u6a21\u578b\u5c3a\u5bf8\u589e\u5927\u800c\u4e0b\u964d \uff1b
      Pairwise\u548cListwise\u867d\u7136\u51c6\u786e\u5ea6\u8f83\u9ad8\uff0c\u4f46\u8ba1\u7b97\u6210\u672c\u6781\u4e3a\u9ad8\u6602\uff0c\u5c24\u5176\u662f\u5217\u8868\u6cd5\u5728\u5c0f\u53c2\u6570\u6a21\u578b\u4e0a\u8868\u73b0\u6781\u5dee \u3002
      Setwise\u4e0d\u4ec5\u8ba9\u5217\u8868\u6cd5\u5728\u5c0f\u6a21\u578b\u4e0a\u4e5f\u80fd\u53d1\u6325\u51fa\u5f3a\u5927\u7684\u6027\u80fd \uff0c\u66f4\u5728\u4fdd\u6301\u4e0e\u6700\u4f18\u6210\u5bf9\u6cd5\u540c\u7b49\u9876\u7ea7\u6392\u5e8f\u51c6\u786e\u5ea6\u7684\u524d\u63d0\u4e0b\uff0c\u5c06\u5927\u6a21\u578b\u63a8\u7406\u6b21\u6570\u3001Token\u6d88\u8017\u548c\u67e5\u8be2\u5ef6\u8fdf\u7b49\u8ba1\u7b97\u6210\u672c\u5927\u5e45\u524a\u51cf\u4e86\u7ea662% \uff0c\u5b8c\u7f8e\u5b9e\u73b0\u4e86\u6392\u5e8f\u6548\u679c\u4e0e\u6548\u7387\u7684\u53cc\u8d62 \u3002<\/p>\n\n\n\n

      \"\"<\/figure>\n\n\n\n

      \u7efc\u5408\u5bf9\u6bd4
      \u5c06 (a) \u548c (b) \u653e\u5728\u4e00\u8d77\u5bf9\u6bd4\uff0c\u6838\u5fc3\u89c2\u70b9\u662f\uff1a
      Setwise \u65b9\u6cd5 (\u5de6\u56fe) \u6bd4 Listwise \u65b9\u6cd5 (\u53f3\u56fe) \u63d0\u4f9b\u4e86\u66f4\u597d\u7684\u201c\u6027\u4ef7\u6bd4\u201d\u3002
      \u6548\u7387\u4f18\u52bf\uff1a \u5728\u8fbe\u5230\u76f8\u540c NDCG \u6548\u679c\uff08\u6bd4\u5982 0.68\uff09\u65f6\uff0cSetwise \u65b9\u6cd5\uff08\u5de6\u56fe\uff09\u6240\u9700\u7684\u5ef6\u8fdf\u901a\u5e38\u4f4e\u4e8e Listwise \u7684 Likelihood \u65b9\u6cd5\uff08\u53f3\u56fe\uff09\u3002
      \u6548\u679c\u4f18\u52bf\uff1a \u5728\u76f8\u4f3c\u7684\u5ef6\u8fdf\u4e0b\uff0cSetwise \u65b9\u6cd5\u5f80\u5f80\u80fd\u83b7\u5f97\u6bd4 Listwise Generation \u65b9\u6cd5\u66f4\u9ad8\u7684\u51c6\u786e\u7387\u3002<\/p>\n\n\n\n

      \"\"<\/figure>\n\n\n\n

      \u5c55\u793a\u4e0d\u540c\u91cd\u6392\u65b9\u6cd5\u5bf9\u201c\u521d\u59cb\u6392\u5e8f\u8d28\u91cf\u201d\u7684\u4f9d\u8d56\u7a0b\u5ea6\u3002
      \u5b83\u7684\u6838\u5fc3\u7ed3\u8bba\u662f\uff1aSetwise Heapsort \u65b9\u6cd5\u6700\u7a33\u5065\uff08Robust\uff09\uff0c\u5b83\u51e0\u4e4e\u4e0d\u53d7\u521d\u59cb\u6392\u5e8f\u597d\u574f\u7684\u5f71\u54cd\uff1b\u800c Listwise.generate \u65b9\u6cd5\u975e\u5e38\u8106\u5f31\uff0c\u4e25\u91cd\u4f9d\u8d56\u521d\u59cb\u6392\u5e8f\u3002<\/p>\n\n\n\n

      \u603b\u7ed3\u4e0e\u7efc\u5408\u5bf9\u9f50\u601d\u8003<\/h2>\n\n\n\n

      \u8fd9\u7bc7\u8bba\u6587\u6838\u5fc3\u521b\u65b0\u70b9\u4e3b\u8981\u96c6\u4e2d\u5728\u7b97\u6cd5\u8bbe\u8ba1\u548c\u9c81\u68d2\u6027\u4e24\u4e2a\u65b9\u9762\u3002\u5176\u6838\u5fc3\u8d21\u732e\u5305\u62ec\uff1a<\/p>\n\n\n\n

      \u63d0\u51fa\u4e86\u57fa\u4e8e Setwise \u6bd4\u8f83\u7684\u5806\u6392\u5e8f\u6846\u67b6\uff1a\u6587\u7ae0\u6452\u5f03\u4e86\u4f20\u7edf\u7684 Listwise\uff08\u5168\u5217\u8868\u751f\u6210\uff09\u6216\u7b80\u5355\u7684 Pairwise\uff08\u4e24\u4e24\u6bd4\u8f83\uff09\u65b9\u6cd5\uff0c\u63d0\u51fa\u4e86\u4e00\u79cdSetwise Heapsort \u7b56\u7565\u3002
      \u6838\u5fc3\u903b\u8f91\uff1a \u5229\u7528\u5927\u8bed\u8a00\u6a21\u578b\u4e00\u6b21\u6bd4\u8f83 c \u4e2a\u6587\u6863\uff08Setwise\uff09\uff0c\u5e76\u7ed3\u5408\u5806\u6392\u5e8f\u7b97\u6cd5\u7684\u903b\u8f91\u6765\u7ec4\u7ec7\u8fd9\u4e9b\u6bd4\u8f83\u3002
      \u4f18\u52bf\uff1a \u8fd9\u79cd\u7b56\u7565\u5728\u6392\u5e8f\u6548\u7387\uff08\u5927\u6a21\u578b\u8c03\u7528\u6b21\u6570\/\u5ef6\u8fdf\uff09\u548c\u6392\u5e8f\u6548\u679c\uff08NDCG\uff09\u4e4b\u95f4\u53d6\u5f97\u4e86\u66f4\u597d\u7684\u5e73\u8861\uff0c\u6bd4\u4f20\u7edf\u7684\u5192\u6ce1\u6392\u5e8f\u6216\u5168\u5217\u8868\u751f\u6210\u66f4\u9ad8\u6548\u3002<\/p>\n\n\n\n

      \u89e3\u51b3\u4e86\u91cd\u6392\u6a21\u578b\u5bf9\u201c\u521d\u59cb\u6392\u5e8f\u201d\u7684\u4f9d\u8d56\u95ee\u9898\uff1a\u6587\u7ae0\u53d1\u73b0\u73b0\u6709\u7684 Listwise \u751f\u6210\u5f0f\u65b9\u6cd5\u5bf9\u8f93\u5165\u7684\u6587\u6863\u987a\u5e8f\u6781\u5176\u654f\u611f\uff08\u5982\u679c\u8f93\u5165\u987a\u5e8f\u88ab\u6253\u4e71\uff0c\u6548\u679c\u4f1a\u5d29\u584c\uff09\u3002
      \u6838\u5fc3\u7a81\u7834\uff1a \u8bc1\u660e\u4e86 Setwise Heapsort \u5177\u6709\u6781\u5f3a\u7684\u9c81\u68d2\u6027\u3002
      \u4f18\u52bf\uff1a \u65e0\u8bba\u521d\u59cb\u68c0\u7d22\u7ed3\u679c\u662f\u6b63\u5e8f\u3001\u5012\u5e8f\u8fd8\u662f\u968f\u673a\u6253\u4e71\uff0c\u8be5\u65b9\u6cd5\u90fd\u80fd\u7a33\u5b9a\u5730\u8f93\u51fa\u9ad8\u8d28\u91cf\u7684\u6392\u5e8f\u7ed3\u679c\uff0c\u4e0d\u518d\u4f9d\u8d56 BM25 \u7b49\u68c0\u7d22\u5668\u7684\u521d\u59cb\u8d28\u91cf\u3002<\/p>\n\n\n\n

      <\/p>\n","protected":false},"excerpt":{"rendered":"

      \u6765\u6e90\uff1aACM SIGIR\u4f5c\u8005\uff1aShengyao Zhuang\u3001Honglei Zhuang\u7b49\u5355\u4f4d\uff1aCSIRO\u3001 […]<\/p>\n","protected":false},"author":60,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-5196","post","type-post","status-publish","format-standard","hentry","category-events"],"_links":{"self":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/5196","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/users\/60"}],"replies":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/comments?post=5196"}],"version-history":[{"count":1,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/5196\/revisions"}],"predecessor-version":[{"id":5205,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/5196\/revisions\/5205"}],"wp:attachment":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/media?parent=5196"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/categories?post=5196"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/tags?post=5196"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}