{"id":8178,"date":"2026-02-09T05:49:00","date_gmt":"2026-02-08T20:49:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=8178"},"modified":"2026-02-01T06:51:17","modified_gmt":"2026-01-31T21:51:17","slug":"can-llms-clean-up-your-mess-a-survey-of-application-ready-data-preparation-with-llms","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=8178","title":{"rendered":"Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs\u00a0"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><strong>Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs\u00a0<\/strong>[66.6]<br>\u30c7\u30fc\u30bf\u6e96\u5099\u306f\u3001\u751f\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8b58\u5225\u3057\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u9593\u306e\u95a2\u4fc2\u3092\u89e3\u660e\u3057\u3001\u305d\u308c\u3089\u304b\u3089\u8cb4\u91cd\u306a\u6d1e\u5bdf\u3092\u62bd\u51fa\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u308b\u3002 \u672c\u7a3f\u3067\u306f,\u69d8\u3005\u306a\u4e0b\u6d41\u30bf\u30b9\u30af\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u6e96\u5099\u306bLLM\u6280\u8853\u3092\u7528\u3044\u308b\u3053\u3068\u306b\u7126\u70b9\u3092\u5f53\u3066\u308b\u3002 \u30c7\u30fc\u30bf\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3001\u6a19\u6e96\u5316\u3001\u30a8\u30e9\u30fc\u51e6\u7406\u3001\u8a08\u7b97\u3001\u30c7\u30fc\u30bf\u7d71\u5408\u3001\u30c7\u30fc\u30bf\u8c4a\u304b\u5316\u3068\u3044\u30463\u3064\u306e\u4e3b\u8981\u306a\u30bf\u30b9\u30af\u306b\u30d5\u30a3\u30fc\u30eb\u30c9\u3092\u7de8\u6210\u3059\u308b\u30bf\u30b9\u30af\u4e2d\u5fc3\u306e\u5206\u985e\u3092\u5c0e\u5165\u3057\u307e\u3059\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2601.17058v1\">\u8ad6\u6587<\/a>\u00a0\u00a0<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2601.17058v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>\u00a0 \u00a0(Thu, 22 Jan 2026 12:02:45 GMT)<\/li>\n\n\n\n<li>LLM\u3092\u7528\u3044\u305f\u30c7\u30fc\u30bf\u6574\u7406\u306b\u95a2\u3059\u308b\u30b5\u30fc\u30d9\u30a4\u3002<\/li>\n\n\n\n<li>\u30ea\u30dd\u30b8\u30c8\u30ea\u306f<a href=\"https:\/\/github.com\/weAIDB\/awesome-data-llm\">GitHub &#8211; weAIDB\/awesome-data-llm: Official Repository of &#8220;LLM \u00d7 DATA&#8221; Survey Paper<\/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":[99,387,390],"class_list":["post-8178","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-data-centric-ai","tag-survey","tag-synthetic-data"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/8178","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=8178"}],"version-history":[{"count":1,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/8178\/revisions"}],"predecessor-version":[{"id":8179,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/8178\/revisions\/8179"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8178"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8178"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8178"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}