[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-a-reproducible-recipe-for-long-context-vision-models":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},2914,"a-reproducible-recipe-for-long-context-vision-models","A Reproducible Recipe for Long-Context Vision Models","Researchers publish the first large-scale training playbook for vision language models that can process documents up to 344,000 tokens long.","A research team has released the first systematic training guide for long-context vision language models, filling a gap left by closed-recipe competitors.\n\nThe paper covers continued pretraining, supervised finetuning, and preference optimization for models at 24B and 32B parameters, targeting documents up to 344K tokens. Existing strong performers in this space - Qwen3 VL and GLM 4.5\u002F6V - are open-weight but ship without reproducible training recipes or data pipelines. The researchers achieved state-of-the-art results on MMLongBenchDoc at both parameter scales and released MMLBD-C, a manually corrected version of the benchmark that culls low-quality examples.\n\nThe reproducibility angle matters: open weights without open recipes are only half open. The findings also carry practical weight - training at context lengths that match evaluation length beats training longer, and simply adding page indices to training and evaluation gives a measurable performance lift with minimal effort. A fourth finding flips an established assumption: visual long-context training transfers back to text performance, not just the other direction.\n\nThe benchmark correction is a quiet but important contribution - leaderboard scores mean little if the test itself contains errors, and the field has a habit of optimizing to flawed benchmarks longer than it should.","[\"machine learning\",\"vision language models\",\"research\",\"open source\"]","2026-06-30T04:00:00.000Z","2026-06-30T15:00:47.329Z","2026-06-30T15:00:50.312Z","published",null,[],"ai",[26,27,28,29],"machine learning","vision language models","research","open source",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2602.15257",0,{"sections":36},[37,41,46,51,56,61,66,71,76,81,86,90,95,100],{"name":38,"slug":24,"count":39,"latest_published_at":40},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":42,"slug":43,"count":44,"latest_published_at":45},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":47,"slug":48,"count":49,"latest_published_at":50},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":52,"slug":53,"count":54,"latest_published_at":55},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":57,"slug":58,"count":59,"latest_published_at":60},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":62,"slug":63,"count":64,"latest_published_at":65},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":67,"slug":68,"count":69,"latest_published_at":70},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":72,"slug":73,"count":74,"latest_published_at":75},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":77,"slug":78,"count":79,"latest_published_at":80},"Dev Tools","dev-tools",59,"2026-07-07T04:00:00.000Z",{"name":82,"slug":83,"count":84,"latest_published_at":85},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":87,"slug":88,"count":84,"latest_published_at":89},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":91,"slug":92,"count":93,"latest_published_at":94},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":96,"slug":97,"count":98,"latest_published_at":99},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":101,"slug":102,"count":103,"latest_published_at":104},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]