{"id":1211,"date":"2024-10-14T11:08:11","date_gmt":"2024-10-14T03:08:11","guid":{"rendered":"https:\/\/www.15zhi.net\/blog\/?p=1211"},"modified":"2024-10-14T11:08:11","modified_gmt":"2024-10-14T03:08:11","slug":"202410%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-query2doc%ef%bc%9aquery-expansion-with-large-language-models","status":"publish","type":"post","link":"https:\/\/www.15zhi.net\/blog\/202410%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-query2doc%ef%bc%9aquery-expansion-with-large-language-models\/","title":{"rendered":"202410\u8bba\u6587\u7814\u8bfb-Query2doc\uff1aQuery Expansion with Large Language Models"},"content":{"rendered":"\n

\u4f5c\u8005\uff1aLiang Wang and Nan Yang and Furu Wei Microsoft Research<\/p>\n\n\n\n

\u6765\u6e90\uff1aEMNLP<\/p>\n\n\n\n

\u53d1\u8868\u65f6\u95f4\uff1a2023\u5e74<\/p>\n\n\n\n

\u00a0\u00a0\u4e00\u3001\u80cc\u666f<\/h2>\n\n\n\n

Information retrieval (IR) \uff1a<\/p>\n\n\n\n

\u662f\u73b0\u4ee3\u641c\u7d22\u5f15\u64ce\u4e2d\u7684\u6838\u5fc3\u7ec4\u4ef6\uff0c\u7814\u7a76\u4eba\u5458\u5df2\u7ecf\u5728\u8fd9\u4e2a\u9886\u57df\u6295\u5165\u4e86\u51e0\u5341\u5e74\u3002IR \u6709\u4e24\u79cd\u4e3b\u6d41\u8303\u4f8b\uff1a\u57fa\u4e8e\u8bcd\u5178\u7684\u7a00\u758f\u68c0\u7d22\uff0c\u5982BM25\uff0c\u548c\u57fa\u4e8e\u5d4c\u5165\u7684\u7a20\u5bc6\u68c0\u7d22\u3002<\/p>\n\n\n\n

Query expansion\uff1a<\/p>\n\n\n\n

\u57fa\u4e8e\u4f2a\u76f8\u5173\u53cd\u9988\u6216 WordNet \u7b49\u5916\u90e8\u77e5\u8bc6\u6e90\u91cd\u5199\u67e5\u8be2\u3002\u5bf9\u4e8e\u7a00\u758f\u68c0\u7d22\uff0c\u5b83\u53ef\u4ee5\u5e2e\u52a9\u5f25\u5408\u67e5\u8be2\u548c\u6587\u6863\u4e4b\u95f4\u7684\u8bcd\u6c47\u5dee\u8ddd\u3002\u5927\u591a\u6570\u6700\u5148\u8fdb\u7684\u5bc6\u96c6\u68c0\u7d22\u5668\u90fd\u4e0d\u91c7\u7528\u8fd9\u79cd\u6280\u672f\u3002<\/p>\n\n\n\n

Large Language Models (LLMs) \uff1a<\/p>\n\n\n\n

\u4ec5\u9700\u5c11\u91cf\u9ad8\u8d28\u91cf\u793a\u4f8b\u7684\u6807\u6ce8\uff0c\u5373\u53ef\u5b9e\u73b0\u6700\u5c11\u7684\u4eba\u5de5\u5e72\u9884\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u91c7\u7528\u5c11\u91cf\u6837\u672c\u63d0\u793a\u4ece\u7ed9\u5b9a\u67e5\u8be2\u4e2d\u751f\u6210\u4f2a\u6587\u6863\u3002<\/p>\n\n\n\n

\u4e8c\u3001query2doc\u65b9\u6cd5<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u7ed9\u5b9a\u4e00\u4e2a\u67e5\u8be2 q\uff0c\u4f7f\u7528\u5c11\u6837\u672c\u63d0\u793a\u751f\u6210\u4e00\u4e2a\u4f2a\u6587\u6863 d\u2032\uff0c\u5982\u56fe \u6240\u793a\u3002<\/p>\n\n\n\n

\u63d0\u793a\u5305\u62ec\u4e00\u4e2a\u7b80\u77ed\u7684\u6307\u4ee4\u201c\u5199\u4e00\u6bb5\u6587\u5b57\u6765\u56de\u7b54\u7ed9\u5b9a\u7684\u67e5\u8be2\uff1a\u201d\u548c\u4ece\u8bad\u7ec3\u96c6\u4e2d\u968f\u673a\u62bd\u53d6\u7684 k \u4e2a\u6807\u8bb0\u5bf9\u3002<\/p>\n\n\n\n

\u672c\u6587\u59cb\u7ec8\u4f7f\u7528 k = 4\u3002<\/p>\n\n\n\n

\u968f\u540e\uff0c\u5c06 q \u91cd\u5199\u4e3a\u4e00\u4e2a\u65b0\u7684\u67e5\u8be2 q+\uff0c\u65b9\u6cd5\u662f\u4e0e\u4f2a\u6587\u6863 d\u2032 \u8fde\u63a5\u3002\u5bf9\u4e8e\u7a00\u758f\u548c\u5bc6\u96c6\u68c0\u7d22\u5668\uff0c\u8fde\u63a5\u64cd\u4f5c\u4e0d\u540c\u3002<\/p>\n\n\n\n

\u25c6\u7a00\u758f\u68c0\u7d22\uff1a<\/p>\n\n\n\n

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

\u7531\u4e8e\u67e5\u8be2\u00a0q\u00a0\u901a\u5e38\u6bd4\u4f2a\u6587\u6863\u77ed\u5f97\u591a\uff0c\u4e3a\u4e86\u5e73\u8861\u67e5\u8be2\u548c\u4f2a\u6587\u6863\u7684\u76f8\u5bf9\u6743\u91cd\uff0c\u6211\u4eec\u5728\u5c06\u67e5\u8be2\u00a0n\u00a0\u4e0e\u4f2a\u6587\u6863\u00a0d\u2032:\u00a0\u8fde\u63a5\u4e4b\u524d\uff0c\u901a\u8fc7\u91cd\u590d\u67e5\u8be2\u00a0n\u00a0\u6b21\u6765\u63d0\u5347\u67e5\u8be2\u8bcd\u7684\u6743\u91cd<\/p>\n\n\n\n

\u25c6\u5bc6\u96c6\u68c0\u7d22\uff1a<\/p>\n\n\n\n

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

\u65b0\u67e5\u8be2 q+\u662f\u539f\u59cb\u67e5\u8be2 q\u548c\u4f2a\u6587\u6863 d\u2032\u7684\u7b80\u5355\u4e32\u8054\uff0c\u7528 [SEP] \u5206\u9694<\/p>\n\n\n\n

\u25c6\u8bad\u7ec3\u5bc6\u96c6\u68c0\u7d22\u5668<\/p>\n\n\n\n

\u8bbe\u7f6e\u4e00\uff1a\u8bad\u7ec3\u4ece BERTbase \u521d\u59cb\u5316\u7684 DPR \u6a21\u578b\uff0c\u4ec5\u4f7f\u7528 BM25 \u96be\u6837\u672c\u3002\u4f18\u5316\u76ee\u6807\u662f\u6807\u51c6\u7684\u5bf9\u6bd4\u635f\u5931\u3002<\/p>\n\n\n\n

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

\u8bbe\u7f6e\u4e8c\uff1a\u5efa\u7acb\u5728\u6700\u5148\u8fdb\u7684\u5bc6\u96c6\u68c0\u7d22\u5668\u57fa\u7840\u4e0a\uff0c\u5e76\u4f7f\u7528 KL \u6563\u5ea6\u4ece\u4ea4\u53c9\u7f16\u7801\u5668\u6559\u5e08\u6a21\u578b\u4e2d\u84b8\u998f\u3002<\/p>\n\n\n\n

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

\u4e09\u3001\u5b9e\u9a8c<\/h2>\n\n\n\n

\uff08\u4e00\uff09\u8bbe\u7f6e<\/p>\n\n\n\n

\u25c6\u57df\u5185\u8bc4\u4f30\uff1a<\/p>\n\n\n\n

\u4f7f\u7528 MS-MARCO \u6bb5\u843d\u6392\u5e8f\u3001TREC DL 2019\u548c2020\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n

\u25c6\u96f6\u6837\u672c\u8de8\u57df\u8bc4\u4f30\uff1a<\/p>\n\n\n\n

\u4ece BEIR \u57fa\u51c6\uff08Thakur \u7b49\u4eba\uff0c2021\uff09\u4e2d\u9009\u62e9\u4e86\u4e94\u4e2a\u4f4e\u8d44\u6e90\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n

\u25c6\u7a00\u758f\u68c0\u7d22\u8d85\u53c2\u6570\u8bbe\u7f6e\uff1a<\/p>\n\n\n\n

\u5305\u62ec BM25 \u548c RM3\uff0c\u91c7\u7528 Pyserini \u4e2d\u7684\u9ed8\u8ba4\u5b9e\u73b0\u3002<\/p>\n\n\n\n

\u25c6\u8bad\u7ec3\u5bc6\u96c6\u68c0\u7d22\u5668\uff1a<\/p>\n\n\n\n

\u57fa\u672c\u4f7f\u7528\u4e0e SimLM \u76f8\u540c\u7684\u8d85\u53c2\u6570\uff0c\u552f\u72ec\u5c06\u6700\u5927\u67e5\u8be2\u957f\u5ea6\u589e\u52a0\u5230 144 \u4ee5\u5305\u542b\u4f2a\u6587\u6863\u3002<\/p>\n\n\n\n

\u25c6\u63d0\u793a\u5927\u578b\u8bed\u8a00\u6a21\u578b\u65f6\uff0c\u5305\u542b 4 \u4e2a\u4e0a\u4e0b\u6587\u793a\u4f8b\u3002<\/p>\n\n\n\n

\uff08\u4e8c\uff09\u7ed3\u679c<\/p>\n\n\n\n

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

1.\u5bf9\u4e8e\u7a00\u758f\u68c0\u7d22\uff0c\u201cBM25 + query2doc\u201d \u5728 TREC DL 2019 \u548c 2020 \u6570\u636e\u96c6\u4e0a\u6bd4 BM25 \u57fa\u7ebf     \u63d0\u9ad8\u4e86 15% \u4ee5\u4e0a\u3002<\/p>\n\n\n\n

2.\u5bf9\u4e8e\u5bc6\u96c6\u68c0\u7d22\uff0c\u7ed3\u5408 query2doc \u7684\u6a21\u578b\u53d8\u4f53\u5728\u6240\u6709\u6307\u6807\u4e0a\u90fd\u4f18\u4e8e\u76f8\u5e94\u7684\u57fa\u7ebf\u3002<\/p>\n\n\n\n

\u56db\u3001\u5206\u6790<\/h2>\n\n\n\n

\u25c6\u6a21\u578b\u89c4\u6a21\u5bf9\u67e5\u8be2\u6269\u5c55\u7684\u8d28\u91cf\u7684\u5f71\u54cd<\/p>\n\n\n\n

\u25c6\u4ece13\u4ebf\u6a21\u578b\u52301750\u4ebf\u6a21\u578b\u7684\u8fc7\u6e21\uff0c\u6027\u80fd\u7a33\u6b65\u63d0\u9ad8\u3002 \u25c6\u53ef\u80fd\u539f\u56e0\uff1a\u8f83\u5c0f\u7684\u8bed\u8a00\u6a21\u578b\u751f\u6210\u7684\u6587\u672c\u5f80\u5f80\u66f4\u77ed\uff0c\u5e76\u4e14\u5305\u542b\u66f4\u591a\u7684\u4e8b\u5b9e\u9519\u8bef<\/p>\n\n\n\n

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

\u25c6\u5c06\u539f\u59cb\u67e5\u8be2\u548c\u4f2a\u6587\u6863\u8fde\u63a5\u8d77\u6765\u4f5c\u4e3a\u65b0\u7684\u67e5\u8be2<\/p>\n\n\n\n

\u25c6\u4ec5\u4f7f\u7528\u539f\u59cb\u67e5\u8be2<\/p>\n\n\n\n

\u25c6\u4ec5\u4f7f\u7528\u4f2a\u6587\u6863<\/p>\n\n\n\n

\u7ed3\u679c\u8868\u660e\uff0c\u539f\u59cb\u67e5\u8be2\u548c\u4f2a\u6587\u6863\u662f\u4e92\u8865\u7684\uff0c\u5b83\u4eec\u7684\u7ec4\u5408\u5728\u7a00\u758f\u68c0\u7d22\u4e2d\u5e26\u6765\u4e86\u663e\u8457\u7684\u6027\u80fd\u63d0\u5347\u3002<\/p>\n\n\n\n

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

\u4e94\u3001\u603b\u7ed3\u4e0e\u7efc\u5408\u5bf9\u5176\u601d\u8003<\/h2>\n\n\n\n

\uff081\uff09\u603b\u7ed3<\/p>\n\n\n\n

\u63d0\u51fa\u4e86\u4e00\u79cd\u540d\u4e3a query2doc \u7684\u7b80\u5355\u65b9\u6cd5\uff0c\u5229\u7528\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLMs) \u8fdb\u884c\u67e5\u8be2\u6269\u5c55\u3002<\/p>\n\n\n\n

\u25c6\u4f7f\u7528\u5c11\u91cf\u793a\u4f8b\u63d0\u793a LLMs \u751f\u6210\u4f2a\u6587\u6863<\/p>\n\n\n\n

\u25c6\u901a\u8fc7\u5c06\u751f\u6210\u7684\u4f2a\u6587\u6863\u6dfb\u52a0\u5230\u67e5\u8be2\u4e2d\uff0c\u4e0e\u73b0\u6709\u7684\u7a00\u758f\u6216\u5bc6\u96c6\u68c0\u7d22\u5668\u96c6\u6210\u3002<\/p>\n\n\n\n

\uff082\uff09\u7efc\u5408\u5bf9\u5176\u601d\u8003<\/p>\n\n\n\n

\u25c6\u8be5\u65b9\u6cd5\u7684\u4f7f\u7528\u76f8\u6bd4\u8f83\u4e0e\u4f2a\u76f8\u5173\u53cd\u9988\u8fd9\u79cd\u67e5\u8be2\u6539\u5199\u65b9\u6cd5\uff0c\u4e0d\u4f9d\u8d56\u4e8e\u521d\u59cb\u68c0\u7d22\u7ed3\u679c\u7684\u8d28\u91cf\u3002<\/p>\n\n\n\n

\u25c6\u68c0\u7d22\u6548\u679c\u597d\u4f46\u68c0\u7d22\u6548\u7387\u8f83\u4f4e\u3002<\/p>\n\n\n\n

\u8be5\u65b9\u6cd5\u9700\u8981\u4f7f\u7528LLM\u8fdb\u884c\u63a8\u7406\uff0c\u9010\u4e2atoken\u7684\u81ea\u56de\u5f52\u89e3\u7801\uff0c\u8fd9\u53ef\u80fd\u4f1a\u5f88\u6162\u3002<\/p>\n\n\n\n

\u4f7f\u7528query2doc\uff0c\u968f\u7740\u6269\u5c55\u540e\u67e5\u8be2\u8bcd\u6570\u91cf\u7684\u589e\u52a0\uff0c\u641c\u7d22\u5012\u6392\u7d22\u5f15\u4e5f\u4f1a\u53d8\u6162\u3002<\/p>\n\n\n\n

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

\u4f5c\u8005\uff1aLiang Wang and Nan Yang and Furu Wei Microsoft Resea […]<\/p>\n","protected":false},"author":66,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1211","post","type-post","status-publish","format-standard","hentry","category-events"],"_links":{"self":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/1211","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\/66"}],"replies":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/comments?post=1211"}],"version-history":[{"count":1,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/1211\/revisions"}],"predecessor-version":[{"id":1224,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/1211\/revisions\/1224"}],"wp:attachment":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/media?parent=1211"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/categories?post=1211"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/tags?post=1211"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}