{"id":6635,"date":"2025-04-29T07:50:00","date_gmt":"2025-04-28T22:50:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=6635"},"modified":"2025-04-29T07:50:00","modified_gmt":"2025-04-28T22:50:00","slug":"paper2code-automating-code-generation-from-scientific-papers-in-machine-learning","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=6635","title":{"rendered":"Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><strong>Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning\u00a0<\/strong>[57.1]<br>\u6a5f\u68b0\u5b66\u7fd2\u8ad6\u6587\u3092\u6a5f\u80fd\u30b3\u30fc\u30c9\u30ea\u30dd\u30b8\u30c8\u30ea\u306b\u5909\u63db\u3059\u308b\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3042\u308bPaperCoder\u3092\u7d39\u4ecb\u3057\u305f\u3002 PaperCoder\u306f\u3001\u8a08\u753b\u3001\u5206\u6790\u3001\u751f\u6210\u306e3\u6bb5\u968e\u3067\u52d5\u4f5c\u3059\u308b\u3002 \u3053\u308c\u306f\u3001\u6700\u8fd1\u30ea\u30ea\u30fc\u30b9\u3055\u308c\u305fPaperBench\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u4e00\u8cab\u3057\u3066\u5f37\u307f\u3092\u793a\u3057\u3066\u3044\u308b\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2504.17192v1\">\u8ad6\u6587<\/a>\u00a0\u00a0<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2504.17192v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>\u00a0 \u00a0(Thu, 24 Apr 2025 01:57:01 GMT)<\/li>\n\n\n\n<li>\u300c(1) Planning, where a high-level implementation plan is constructed based on the paper\u2019s content, including overall plan, architectural design, logic design, and configuration files; (2) Analyzing, where the plan is translated into detailed file-level specifications; and (3) Coding, where the final codes are generated to implement the paper\u2019s methods and experiments.\u300d\u3068\u3044\u3046\u4e09\u6bb5\u968e\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e\u63d0\u6848\u3002<\/li>\n\n\n\n<li>\u300cResults show that 77% of participants preferred PaperCoder\u2019s implementation over alternatives, and 83% found the outputs practically useful for real-world usage.\u300d\u3068\u4ed6\u306e\u5b9f\u88c5\u3068\u6bd4\u3079\u3066\u3088\u3044\u3060\u3051\u3067\u306a\u304f\u4e00\u5b9a\u6709\u7528\u305d\u3046\u306a\u306e\u3082\u8208\u5473\u6df1\u3044\u3002<\/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":[42,468],"class_list":["post-6635","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-autonomous-agent","tag-468"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/6635","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=6635"}],"version-history":[{"count":0,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/6635\/revisions"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6635"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6635"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6635"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}