[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-new-method-lets-ai-fix-its-own-wrong-answers":10,"sections":35},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},6761,"new-method-lets-ai-fix-its-own-wrong-answers","New Method Lets AI Fix Its Own Wrong Answers","A new technique called VRR uses an AI verifier's feedback to repair and regenerate candidate answers, not just rank them.","Researchers have a new trick for getting better answers out of large language models: make the quality checker actually fix mistakes instead of just grading them.\n\nThe standard approach for boosting LLM accuracy is to generate several candidate answers and use a separate verifier to pick the best one. That verifier's job usually ends at ranking. A new paper introduces Verify-Repair-Reselect (VRR), which instead feeds verification feedback back into the process. VRR keeps the original top candidate but also generates three alternatives: repaired versions of the best and second-best answers, plus one built from a different approach entirely. It then filters out duplicates and invalid options before reselecting a final answer using the same evaluation criteria as before. Tested across multiple models on code-generation and reasoning benchmarks, VRR beat standard fixed-pool selection in many cases.\n\nThe notable part is what happens when every initial candidate is wrong. VRR can still recover a correct answer, because the verifier's feedback becomes raw material for a repair rather than a dead end. That reframes verification from a filter into a generator, which matters for anyone building on techniques like best-of-n sampling or self-consistency, where a bad initial batch just means a bad final answer.\n\nIt's a small architectural shift, not a new model, but it points at a cheap way to squeeze more reliability out of existing LLMs without retraining them.","[\"llm\",\"ai-research\",\"code-generation\",\"reasoning\"]","2026-09-18T04:00:00.000Z","2026-09-18T15:31:42.386Z","2026-09-18T15:31:54.299Z","published",null,[],"ai",[26,27,28,29],"llm","ai-research","code-generation","reasoning",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.19515",0,{"sections":36},[37,40,44,49,54,58,62,67,72,77,82,87,92,97],{"name":38,"slug":24,"count":39,"latest_published_at":18},"AI",3958,{"name":41,"slug":42,"count":43,"latest_published_at":18},"Security","security",652,{"name":45,"slug":46,"count":47,"latest_published_at":48},"Policy","policy",338,"2026-09-11T04:00:00.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":18},"Hardware","hardware",155,{"name":59,"slug":60,"count":61,"latest_published_at":18},"Science","science",116,{"name":63,"slug":64,"count":65,"latest_published_at":66},"Consumer Tech","consumer-tech",99,"2026-09-09T17:27:33.000Z",{"name":68,"slug":69,"count":70,"latest_published_at":71},"Dev Tools","dev-tools",76,"2026-09-18T01:04:54.000Z",{"name":73,"slug":74,"count":75,"latest_published_at":76},"Software","software",75,"2026-09-10T20:41:21.000Z",{"name":78,"slug":79,"count":80,"latest_published_at":81},"Startups","startups",55,"2026-09-09T23:14:29.000Z",{"name":83,"slug":84,"count":85,"latest_published_at":86},"Gaming","gaming",43,"2026-09-10T12:18:06.000Z",{"name":88,"slug":89,"count":90,"latest_published_at":91},"General","general",41,"2026-09-08T01:57:23.000Z",{"name":93,"slug":94,"count":95,"latest_published_at":96},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":98,"slug":99,"count":100,"latest_published_at":101},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]