{"id":5183,"date":"2024-07-23T05:00:00","date_gmt":"2024-07-22T20:00:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=5183"},"modified":"2024-07-23T05:00:00","modified_gmt":"2024-07-22T20:00:00","slug":"llm2llm-boosting-llms-with-novel-iterative-data-enhancement","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=5183","title":{"rendered":"LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement\u00a0"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><strong>LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement\u00a0<\/strong>[79.3]<br>\u4e8b\u524d\u8a13\u7df4\u3055\u308c\u305f\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb(LLM)\u306f\u3001\u73fe\u5728\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u30bf\u30b9\u30af\u306e\u5927\u90e8\u5206\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306e\u6700\u5148\u7aef\u6280\u8853\u3067\u3042\u308b\u3002 LLM2LLM\u306f\u3001\u6559\u5e2b\u306eLLM\u3092\u4f7f\u3063\u3066\u5c0f\u3055\u306a\u30b7\u30fc\u30c9\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u5f37\u5316\u3059\u308b\u30c7\u30fc\u30bf\u62e1\u5f35\u6226\u7565\u3067\u3042\u308b\u3002 GSM8K\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u306f\u6700\u592724.2%\u3001CaseHOLD\u3067\u306f32.6%\u3001SNIPS\u3067\u306f32.0%\u3001TREC\u3067\u306f52.6%\u3001SST-2\u3067\u306f39.8%\u306e\u6539\u5584\u304c\u9054\u6210\u3055\u308c\u305f\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2403.15042v2\">\u8ad6\u6587<\/a>\u00a0\u00a0<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2403.15042v2\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>\u00a0 \u00a0(Sat, 13 Jul 2024 07:36:49 GMT)<\/li>\n\n\n\n<li>fine tuning\u7528\u306e\u30c7\u30fc\u30bf\u3092\u62e1\u5f35\u3057\u3066\u3044\u304f\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e\u63d0\u6848\u3002\u9593\u9055\u3063\u305f\u90e8\u5206\u306b\u6ce8\u76ee\u3059\u308b\u30a2\u30d7\u30ed\u30fc\u30c1\u3067Llama-2-7B\u3092\u7528\u3044\u3066\u6709\u52b9\u6027\u3092\u691c\u8a3c\u3068\u306e\u3053\u3068\u3002<\/li>\n\n\n\n<li>\u30ea\u30dd\u30b8\u30c8\u30ea\u306f<a href=\"https:\/\/github.com\/SqueezeAILab\/LLM2LLM\">GitHub &#8211; SqueezeAILab\/LLM2LLM: [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[92,223,390],"class_list":["post-5183","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-data-augmentation","tag-llm","tag-synthetic-data"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/5183","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5183"}],"version-history":[{"count":0,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/5183\/revisions"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}