{"id":2166,"date":"2022-08-08T05:00:00","date_gmt":"2022-08-07T20:00:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=2166"},"modified":"2022-08-08T05:00:00","modified_gmt":"2022-08-07T20:00:00","slug":"sledslidingencoder-and-decoder-%e7%9f%ad%e6%96%87%e7%94%a8%e3%83%a2%e3%83%87%e3%83%ab%e3%82%92%e9%95%b7%e6%96%87%e3%81%ab%e9%81%a9%e7%94%a8%e3%81%99%e3%82%8b%e6%89%8b%e6%b3%95","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=2166","title":{"rendered":"SLED(SLidingEncoder and Decoder): \u77ed\u6587\u7528\u30e2\u30c7\u30eb\u3092\u9577\u6587\u306b\u9069\u7528\u3059\u308b\u624b\u6cd5"},"content":{"rendered":"\n<ul class=\"wp-block-list\"><li><strong>Efficient Long-Text Understanding with Short-Text Models&nbsp;<\/strong>[38.8]<br>SLED\u306f\u3001\u30d0\u30c8\u30eb\u30c6\u30b9\u30c8\u3055\u308c\u305f\u77ed\u6587\u4e8b\u524d\u8a13\u7df4\u3055\u308c\u305fLM\u3092\u518d\u5229\u7528\u3057\u6d3b\u7528\u3059\u308b\u3001\u9577\u3044\u30b7\u30fc\u30b1\u30f3\u30b9\u3092\u51e6\u7406\u3059\u308b\u305f\u3081\u306e\u5358\u7d14\u306a\u30a2\u30d7\u30ed\u30fc\u30c1\u3067\u3042\u308b\u3002 \u5165\u529b\u3092\u91cd\u306a\u308a\u5408\u3046\u30c1\u30e3\u30f3\u30af\u306b\u5206\u5272\u3057\u3001\u305d\u308c\u305e\u308c\u3092\u77ed\u6587\u306eLM\u30a8\u30f3\u30b3\u30fc\u30c0\u3067\u30a8\u30f3\u30b3\u30fc\u30c9\u3057\u3001\u4e8b\u524d\u8a13\u7df4\u3055\u308c\u305f\u30c7\u30b3\u30fc\u30c0\u3092\u4f7f\u7528\u3057\u3066\u30c1\u30e3\u30f3\u30af\u9593\u3067\u60c5\u5831\u3092\u878d\u5408\u3059\u308b\u3002 SLED\u306f\u3001\u6700\u592750\u500d\u306e\u5927\u304d\u3055\u3067\u3001\u5c02\u7528\u3067\u9ad8\u4fa1\u306a\u4e8b\u524d\u8a13\u7df4\u30b9\u30c6\u30c3\u30d7\u3092\u5fc5\u8981\u3068\u3059\u308b\u7279\u6b8a\u306a\u30e2\u30c7\u30eb\u3068\u7af6\u5408\u3057\u3066\u3044\u308b\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2208.00748v1\">\u8ad6\u6587<\/a>&nbsp;&nbsp;<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2208.00748v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>&nbsp; &nbsp;(Mon, 1 Aug 2022 11:14:39 GMT)<ul><li>\u77ed\u3044\u30c6\u30ad\u30b9\u30c8\u3092\u51e6\u7406\u3059\u308b\u30e2\u30c7\u30eb\u3092\u3046\u307e\u304f\u5229\u7528\u3057\u3066\u9577\u6587\u3092\u51e6\u7406\u3059\u308b\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e\u63d0\u6848\u3002<ul><li>\u975e\u5e38\u306b\u5f37\u529b\u306a\u624b\u6cd5\u305d\u3046\u3067\u3042\u308b\u304c\u3053\u306e\u65b9\u91dd\u3067decode\u304c\u3046\u307e\u304f\u3044\u304f\u7406\u7531\u304c\u8151\u306b\u843d\u3061\u306a\u3044\u30fb\u30fb\u30fb<\/li><\/ul><\/li><li>\u30ea\u30dd\u30b8\u30c8\u30ea\u306f<a href=\"https:\/\/github.com\/mivg\/sled\">GitHub &#8211; Mivg\/SLED: The official repository for Efficient Long-Text Understanding Using Short-Text Models (Ivgi et al., 2022) paper<\/a><\/li><\/ul><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Efficient Long-Text Understanding with Short-Text Models&nbsp;[38.8]SLED\u306f\u3001\u30d0\u30c8\u30eb\u30c6\u30b9\u30c8\u3055\u308c\u305f\u77ed\u6587\u4e8b\u524d\u8a13\u7df4\u3055\u308c\u305fLM\u3092\u518d\u5229\u7528\u3057\u6d3b\u7528\u3059\u308b\u3001\u9577\u3044\u30b7\u30fc\u30b1\u30f3 &hellip; <a href=\"https:\/\/devneko.jp\/wordpress\/?p=2166\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;SLED(SLidingEncoder and Decoder): \u77ed\u6587\u7528\u30e2\u30c7\u30eb\u3092\u9577\u6587\u306b\u9069\u7528\u3059\u308b\u624b\u6cd5&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[634,667],"class_list":["post-2166","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-634","tag-667"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/2166","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=2166"}],"version-history":[{"count":0,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/2166\/revisions"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2166"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2166"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2166"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}