{"id":7028,"date":"2025-07-04T06:31:00","date_gmt":"2025-07-03T21:31:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=7028"},"modified":"2025-06-29T10:10:03","modified_gmt":"2025-06-29T01:10:03","slug":"diffucoder-understanding-and-improving-masked-diffusion-models-for-code-generation","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=7028","title":{"rendered":"DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><strong>DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation\u00a0<\/strong>[68.2]<br>\u62e1\u6563\u5927\u8a00\u8a9e\u30e2\u30c7\u30eb(dLLM)\u306f\u81ea\u5df1\u56de\u5e30(AR)\u30e2\u30c7\u30eb\u306e\u9b45\u529b\u7684\u306a\u4ee3\u66ff\u54c1\u3067\u3042\u308b\u3002 \u672c\u7814\u7a76\u306f,\u305d\u308c\u3089\u306e\u8a8d\u77e5\u904e\u7a0b\u3068\u5f37\u5316\u5b66\u7fd2\u624b\u6cd5\u306b\u3064\u3044\u3066\u8003\u5bdf\u3059\u308b\u3002 \u6211\u3005\u306e\u7814\u7a76\u306f\u3001dLLM\u751f\u6210\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u306b\u3064\u3044\u3066\u6df1\u3044\u6d1e\u5bdf\u3092\u4e0e\u3048\u3001\u52b9\u679c\u7684\u306a\u62e1\u6563\u30cd\u30a4\u30c6\u30a3\u30d6\u306aRL\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2506.20639v2\">\u8ad6\u6587<\/a>\u00a0\u00a0<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2506.20639v2\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>\u00a0 \u00a0(Thu, 26 Jun 2025 15:46:40 GMT)<\/li>\n\n\n\n<li>AR\u30e2\u30c7\u30eb\u3068\u306e\u6319\u52d5\u306e\u5dee\u304c\u8208\u5473\u6df1\u3044\u8ad6\u6587\u3002\u300cReinforcement learning (RL) and GRPO (Shao et al , 2024) have proven critical for enhancing AR models (Bercovich et al , 2025; Shao et al , 2025), but their application to dLLMs is less explored.\u300d\u3068\u3057\u305f\u3046\u3048\u3067Diffusion model\u7528\u306eCoupled-GRPO\u3092\u63d0\u6848\u3002<\/li>\n\n\n\n<li>\u30ea\u30dd\u30b8\u30c8\u30ea\u306f<a href=\"https:\/\/github.com\/apple\/ml-diffucoder\">https:\/\/github.com\/apple\/ml-diffucoder<\/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":[114],"class_list":["post-7028","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-diffusion-model"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/7028","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=7028"}],"version-history":[{"count":1,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/7028\/revisions"}],"predecessor-version":[{"id":7029,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/7028\/revisions\/7029"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7028"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7028"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7028"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}