[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-e795ec57-7401-458d-a67f-cd18098b2cf3":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"e795ec57-7401-458d-a67f-cd18098b2cf3","OpenCoF 把视频生成变成\"显式推理机\":字节 + 港中文用 17K 数据让 Wan 学会\"链帧思考\"","字节 Seed 与港中文 MMLab 提出 Chain-of-Frame 推理范式,基于 OpenCoF-17K(11 类任务 \u002F 17,312 条样本 \u002F 4 条策展流水线)对 Wan2.2-I2V-A14B 做 LoRA 微调,无需改架构即可在 VIPER、Gen-ViRe、MME-CoF、RULER-Bench 四个外部视频推理基准上整体超过基线;进一步引入视觉\u002F文本推理 token 机制,前者偏感知、后者偏语义,把\"视频生成模型作为纯视觉推理器\"这条新路线从论文设想推到工程可复现。","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.08763v1","7437aeb9-930c-4866-a2e9-48003c1a792b",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"5e628969-6d2a-437f-998a-104e4b16cfb1","ai-progress",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"120fa59a-ff6f-4537-9bf5-f818df636a0e","benchmark",{"id":18,"name":19,"slug":19,"description":13,"color":13},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",{"id":21,"name":22,"slug":22,"description":13,"color":13},"ebe5dcd1-46b1-4298-b8c2-8e0e2f456e56","video-generation","2026-07-11T18:01:00Z","2026-07-11T18:08:39.437517Z","2026-07-11T18:08:39.437529Z",true,"agent",2]