{"id":8955,"date":"2026-06-09T18:59:07","date_gmt":"2026-06-09T10:59:07","guid":{"rendered":"https:\/\/infernews.com\/blog\/icml-2026-benchmark-for-genomic-foundation-models-across-100-tasks-and-13-functi\/"},"modified":"2026-06-09T18:59:07","modified_gmt":"2026-06-09T10:59:07","slug":"icml-2026-benchmark-for-genomic-foundation-models-across-100-tasks-and-13-functi","status":"publish","type":"post","link":"https:\/\/infernews.com\/blog\/icml-2026-benchmark-for-genomic-foundation-models-across-100-tasks-and-13-functi\/","title":{"rendered":"GENEB \u7d71\u6574\u57fa\u56e0\u7d44\u6a21\u578b\u8a55\u6e2c\uff1a\u8de8 100 \u500b\u4efb\u52d9\u7684\u7d71\u4e00\u6bd4\u8f03\u6846\u67b6"},"content":{"rendered":"<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/06\/pasted-2fd1abe1a5a1.jpg\" alt=\"Repository image for darlednik\/GENEB\"><\/figure>\n<p>\u57fa\u56e0\u7d44\u6a5f\u5668\u5b78\u7fd2\u8fd1\u5341\u5e74\u5feb\u901f\u64f4\u5f35\uff0c\u4f46\u6a21\u578b\u4e4b\u9593\u7684\u6bd4\u8f03\u9577\u671f\u8655\u65bc\u788e\u7247\u5316\u72c0\u614b\u3002DARLEDNIK\/GENEB \u6b63\u662f\u91dd\u5c0d\u9019\u9805\u75db\u9ede\u8a2d\u8a08\u7684\u7d71\u4e00\u8a55\u6e2c\u57fa\u6e96\uff0c\u6536\u9304 100 \u500b\u5206\u985e\u4efb\u52d9\u3001\u6a6b\u8de8 13 \u500b\u529f\u80fd\u985e\u5225\uff0c\u4e26\u900f\u904e\u7dda\u6027\u63a2\u6e2c\uff08linear probe\uff09\u65b9\u5f0f\uff0c\u5728\u5b8c\u6574\u300110-shot \u8207 1-shot \u4e09\u7a2e\u60c5\u5883\u4e0b\u8a55\u4f30\u9810\u8a13\u7df4\u6a21\u578b\u51cd\u7d50\u5f8c\u7684\u8868\u5fb5\u54c1\u8cea\u3002<\/p>\n<p>\u9019\u500b\u9805\u76ee\u6700\u5927\u7684\u7279\u8272\u662f\u7d71\u4e00\u4e86\u904e\u5f80\u5404\u5bb6\u6a21\u578b\u5404\u81ea\u70ba\u653f\u7684\u8a55\u6e2c\u5354\u8b70\u3002\u4f60\u53ea\u9700\u5728 <code>harness\/extractors\/<\/code> \u64b0\u5beb\u4e00\u500b\u5c0f\u578b embedding extractor\uff0c\u5c31\u80fd\u7528 <code>run_GENEB.py<\/code> \u5728\u56fa\u5b9a\u7684 GENEB \u4efb\u52d9\u8cc7\u6599\u4e0a\u7522\u751f\u63d0\u4ea4\u6a94\uff0c\u4e26\u7531 CI \u81ea\u52d5\u9a57\u8b49\u5f8c\u5408\u4f75\u5230\u6392\u884c\u699c\u3002\u63d0\u4ea4\u7684\u6a21\u578b\u6b0a\u91cd\u4e26\u4e0d\u5132\u5b58\u5728\u5132\u5b58\u5eab\u5167\uff0c\u50c5\u4fdd\u7559\u8a55\u6e2c\u7d50\u679c\u8207\u6a21\u578b\u5361\u7247\uff0c\u8a2d\u8a08\u4e0a\u517c\u9867\u4e86\u53ef\u91cd\u73fe\u6027\u8207\u7b2c\u4e09\u65b9\u6b0a\u91cd\u898f\u7bc4\u3002<\/p>\n<p>\u5b83\u53ef\u4ee5\u652f\u63f4\u8a13\u7df4\u5f8c\u7684\u8a55\u4f30\uff0c\u4f8b\u5982\u4f60\u8a13\u7df4\u5b8c\u4e0d\u540c genomic foundation models\uff0c\u62ff GENEB \u4f86\u6bd4\u8f03\u5b83\u5011\u5728\u591a\u4efb\u52d9\u3001\u591a\u985e\u5225\u4e0a\u7684\u8868\u73fe\u3002<\/p>\n<p>GENEB \u5c0d 40 \u500b\u57fa\u56e0\u7d44\u57fa\u790e\u6a21\u578b\u9032\u884c\u4e86\u7cfb\u7d71\u6027\u6bd4\u8f03\uff0c\u5305\u62ec DNA-GPT\u3001GENOMEOCEAN\u3001EVO \u7b49\u77e5\u540d\u6a21\u578b\u3002\u7814\u7a76\u767c\u73fe\uff0c<strong>\u805a\u5408\u6392\u884c\u699c\u5176\u5be6\u76f8\u7576\u4e0d\u7a69\u5b9a<\/strong>\uff1a\u6a21\u578b\u5728\u4e0d\u540c\u4efb\u52d9\u985e\u5225\u7684\u6392\u540d\u6703\u5927\u5e45\u64fa\u52d5\uff0c\u55ae\u4e00\u7e3d\u5206\u5bb9\u6613\u63a9\u84cb\u7d30\u7bc0\u5dee\u7570\u3002\u8ad6\u6587\u4e5f\u6307\u51fa\uff0c<strong>\u6a21\u578b\u898f\u6a21\u5e36\u4f86\u7684\u63d0\u5347\u6709\u9650\u4e14\u4e0d\u4e00\u81f4<\/strong>\uff0c\u67b6\u69cb\u8207\u9810\u8a13\u7df4\u8cc7\u6599\u7684\u5c0d\u9f4a\u7a0b\u5ea6\uff0c\u5f80\u5f80\u6bd4\u53c3\u6578\u91cf\u66f4\u5f71\u97ff\u4e0b\u6e38\u8868\u73fe\u3002\u9019\u4e9b\u7d50\u8ad6\u5c0d\u9818\u57df\u5167\u300c\u6108\u5927\u6108\u597d\u300d\u7684\u76f4\u89ba\u63d0\u51fa\u4e86\u52d9\u5be6\u7684\u63d0\u9192\u3002<\/p>\n<p>\u9019\u500b\u9805\u76ee\u7279\u5225\u9069\u5408\u57fa\u56e0\u7d44\u5b78\u9818\u57df\u7684\u7814\u7a76\u8005\u3001\u6a21\u578b\u958b\u767c\u8005\uff0c\u4ee5\u53ca\u9700\u8981\u70ba\u4e0b\u6e38\u61c9\u7528\u6311\u9078\u5408\u9069\u8868\u5fb5\u7684\u5de5\u7a0b\u5718\u968a\u3002\u5c0d\u65bc\u60f3\u4e86\u89e3\u73fe\u6709\u57fa\u56e0\u7d44\u6a21\u578b\u76f8\u5c0d\u5f37\u5f31\u7684\u4eba\uff0cHugging Face Space \u4e0a\u7684\u6392\u884c\u699c\u63d0\u4f9b\u4e86 macro \u5206\u6578\u8207\u55ae\u4efb\u52d9\u5206\u6578\u5169\u7a2e\u8996\u89d2\uff0c\u65b9\u4fbf\u4f9d\u529f\u80fd\u985e\u5225\u505a\u9078\u64c7\u3002<\/p>\n<p><strong>\u91cd\u9ede\u6458\u8981<\/strong>\uff1a<\/p>\n<ul>\n<li>\u6db5\u84cb 100 \u500b\u4efb\u52d9\u300113 \u500b\u529f\u80fd\u985e\u5225\uff0c\u4e26\u652f\u63f4 full\u300110-shot\u30011-shot \u4e09\u7a2e\u8a55\u6e2c\u8a2d\u5b9a\u3002<\/li>\n<li>\u63a1\u7528\u7dda\u6027\u63a2\u6e2c\u5354\u8b70\uff0c\u7d71\u4e00\u6bd4\u8f03 40 \u500b\u57fa\u56e0\u7d44\u57fa\u790e\u6a21\u578b\u7684\u51cd\u7d50\u8868\u5fb5\u3002<\/li>\n<li>\u900f\u904e embedding extractor \u4ecb\u9762\u8207 CI \u6d41\u7a0b\uff0c\u78ba\u4fdd\u65b0\u6a21\u578b\u63d0\u4ea4\u7684\u53ef\u91cd\u73fe\u6027\u3002<\/li>\n<li>\u8ad6\u6587\u5206\u6790\u986f\u793a\u805a\u5408\u6392\u884c\u699c\u4e0d\u7a69\u5b9a\uff0c\u6a21\u578b\u6392\u540d\u96a8\u4efb\u52d9\u985e\u5225\u5927\u5e45\u8b8a\u52d5\u3002<\/li>\n<li>\u898f\u6a21\u6548\u76ca\u6709\u9650\uff0c\u67b6\u69cb\u8207\u9810\u8a13\u7df4\u5c0d\u9f4a\u5c0d\u8868\u73fe\u7684\u5f71\u97ff\u5f80\u5f80\u5927\u65bc\u53c3\u6578\u91cf\u3002<\/li>\n<\/ul>\n<p><strong>GitHub\uff1a<\/strong> <a href=\"https:\/\/github.com\/darlednik\/GENEB\" rel=\"noopener noreferrer\">https:\/\/github.com\/darlednik\/GENEB<\/a><\/p>\n<p><strong>\u9805\u76ee\uff1a<\/strong> <a href=\"https:\/\/huggingface.co\/spaces\/darlednik\/geneb-leaderboard\" rel=\"noopener noreferrer\">https:\/\/huggingface.co\/spaces\/darlednik\/geneb-leaderboard<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>GENEB \u4ee5 100 \u500b\u5206\u985e\u4efb\u52d9\u300113 \u500b\u529f\u80fd\u985e\u5225\uff0c\u7d71\u4e00\u8a55\u6bd4 40 \u500b\u57fa\u56e0\u7d44\u57fa\u790e\u6a21\u578b\u7684\u8868\u5fb5\u80fd\u529b\uff0c\u63ed\u9732\u6392\u884c\u699c\u4e0d\u7a69\u5b9a\u3001\u898f\u6a21\u6548\u76ca\u6709\u9650\u7b49\u95dc\u9375\u767c\u73fe\u3002<\/p>\n","protected":false},"author":8,"featured_media":8954,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ai_generated_summary":"","footnotes":""},"categories":[133,144,197],"tags":[],"class_list":["post-8955","post","type-post","status-publish","format-standard","hentry","category-133","category-medical","category-framework"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/8955","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=8955"}],"version-history":[{"count":0,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/8955\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media\/8954"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=8955"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/categories?post=8955"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/tags?post=8955"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}