{"id":6142,"date":"2025-08-18T07:04:38","date_gmt":"2025-08-18T07:04:38","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/08\/18\/rzero_selfevolving_reasoning_llm_from_zero_data\/"},"modified":"2025-08-18T07:04:38","modified_gmt":"2025-08-18T07:04:38","slug":"rzero_selfevolving_reasoning_llm_from_zero_data","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/08\/18\/rzero_selfevolving_reasoning_llm_from_zero_data\/","title":{"rendered":"R-Zero : Self-Evolving Reasoning LLM from Zero Data"},"content":{"rendered":"<p>    R-Zero : Self-Evolving Reasoning LLM from Zero Data<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>R-Zero by Tencent introduces a concept to train LLMs without any labelled data and aims towards self-improving AI without human intervention. It works on the similar principle of GANs i.e. involving a Challenger and Solver where one generates questions and other Solves them. <\/p>\n<p>Paper : <a href=\"https:\/\/arxiv.org\/abs\/2508.05004?ref=mackenziemorehead.com\">https:\/\/arxiv.org\/abs\/2508.05004?ref=mackenziemorehead.com<\/a><\/p>\n<p>Video explanation : <a href=\"https:\/\/youtu.be\/kNL6z0wxZ_o?si=iG8U7Go7YeiLsADe\">https:\/\/youtu.be\/kNL6z0wxZ_o?si=iG8U7Go7YeiLsADe<\/a><\/p>\n<\/p><\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Technical-Love-8479\"> \/u\/Technical-Love-8479 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/1mtel8e\/rzero_selfevolving_reasoning_llm_from_zero_data\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/1mtel8e\/rzero_selfevolving_reasoning_llm_from_zero_data\/\">[comments]<\/a><\/span>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    \/u\/Technical-Love-8479<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/1mtel8e\/rzero_selfevolving_reasoning_llm_from_zero_data\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R-Zero : Self-Evolving Reasoning LLM from Zero Data R-Zero by Tencent introduces a concept to train LLMs without any labelled data and aims towards self-improving AI without human intervention. It works on the similar principle of GANs i.e. involving a Challenger and Solver where one generates questions and other Solves them. Paper : https:\/\/arxiv.org\/abs\/2508.05004?ref=mackenziemorehead.com Video [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,99],"tags":[84,508,3524],"class_list":["post-6142","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-datascience","tag-data","tag-self","tag-zero"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6142"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=6142"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6142\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=6142"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=6142"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=6142"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}