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Super cool 🔥 Congrats on the release!

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arXiv explained breakdown of this paper 👉 https://arxivexplained.com/papers/glm-41v-thinking-towards-versatile-multimodal-reasoning-with-scalable-reinforcement-learning

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congrats on the release! have been using glm-series from early 2024, they are just great (glm-4v-9b)

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arXiv lens breakdown of this paper 👉 https://arxivlens.com/PaperView/Details/glm-4-1v-thinking-towards-versatile-multimodal-reasoning-with-scalable-reinforcement-learning-6727-5cd10740

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model (VLM) designed to\nadvance general-purpose multimodal reasoning. In this report, we share our key\nfindings in the development of the reasoning-centric training framework. We\nfirst develop a capable vision foundation model with significant potential\nthrough large-scale pre-training, which arguably sets the upper bound for the\nfinal performance. Reinforcement Learning with Curriculum Sampling (RLCS) then\nunlocks the full potential of the model, leading to comprehensive capability\nenhancement across a diverse range of tasks, including STEM problem solving,\nvideo understanding, content recognition, coding, grounding, GUI-based agents,\nand long document understanding, among others. To facilitate research in this\nfield, we open-source GLM-4.1V-9B-Thinking, which achieves state-of-the-art\nperformance among models of comparable size. In a comprehensive evaluation\nacross 28 public benchmarks, our model outperforms Qwen2.5-VL-7B on nearly all\ntasks and achieves comparable or even superior performance on 18 benchmarks\nrelative to the significantly larger Qwen2.5-VL-72B. Notably,\nGLM-4.1V-9B-Thinking also demonstrates competitive or superior performance\ncompared to closed-source models such as GPT-4o on challenging tasks including\nlong document understanding and STEM reasoning, further underscoring its strong\ncapabilities. Code, models and more information are released at\nhttps://github.com/THUDM/GLM-4.1V-Thinking.","upvotes":251,"discussionId":"68649319d59a9eda59024abc","githubRepo":"https://github.com/THUDM/GLM-4.1V-Thinking","githubRepoAddedBy":"user","ai_summary":"A vision-language model (VLM) named GLM-4.1V-Thinking, developed with a reasoning-centric training framework, achieves state-of-the-art performance across various tasks, including STEM problem solving, video understanding, and long document understanding, outperforming larger models on many benchmarks.","ai_keywords":["vision-language model","VLM","reasoning-centric training framework","large-scale pre-training","Reinforcement Learning with Curriculum Sampling","RLCS","STEM problem solving","video understanding","content recognition","coding","grounding","GUI-based agents","long document understanding","state-of-the-art performance","public benchmarks","Qwen2.5-VL-7B","Qwen2.5-VL-72B","GPT-4o"],"githubStars":2183},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"62ecd24cb8764c7738ef2793","avatarUrl":"/avatars/c1b80b5c55f9d652c1aaac7919e1fa32.svg","isPro":false,"fullname":"Wenyi Hong","user":"wenyi","type":"user"},{"_id":"644b909170dd5a31300fa684","avatarUrl":"/avatars/72dc7146ece9b04345e2c53c086f3d33.svg","isPro":false,"fullname":"big","user":"MangoFly","type":"user"},{"_id":"6604160b8d50be909bea5ff6","avatarUrl":"/avatars/04c17cbe98fec21aec73bb6e208cb4e8.svg","isPro":false,"fullname":"Jinhao Chen","user":"DexterChan","type":"user"},{"_id":"66b5a2e5cd2f6a54a2d4158a","avatarUrl":"/avatars/4f97f03d2628dc57c47ffde871d20cc5.svg","isPro":false,"fullname":"xitonghe","user":"hext22","type":"user"},{"_id":"64f5c2f19eaf9d8fb74d2b47","avatarUrl":"/avatars/2623c5fc9bff757f20b66f7626065d52.svg","isPro":false,"fullname":"Zehai He","user":"he-zh22","type":"user"},{"_id":"64c7312ae4e2212a4f332aa0","avatarUrl":"/avatars/3b54929aba004f89dd2a6c047dad874e.svg","isPro":false,"fullname":"Ji Qi","user":"qijimrc","type":"user"},{"_id":"64a4fe94c6e1167c3c67053a","avatarUrl":"/avatars/00cb76622d6afe5786a512abe04f6d6e.svg","isPro":false,"fullname":"Ziyang Pan","user":"soupsheep","type":"user"},{"_id":"64ef2fbfc0b74138dc10f84e","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/64ef2fbfc0b74138dc10f84e/3lYac_mGcyj1HY2ow3C8y.jpeg","isPro":false,"fullname":"Crilias Miller","user":"Crilias","type":"user"},{"_id":"60eff04e22ab0ac83b0fc9d8","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/60eff04e22ab0ac83b0fc9d8/pBjftNyFN1qB8Br3FZQmD.jpeg","isPro":false,"fullname":"lucen zhong","user":"anchorzhong","type":"user"},{"_id":"62d7b131f6e8ba66107af761","avatarUrl":"/avatars/f1c5df47aef69c824fd166722df8f670.svg","isPro":false,"fullname":"Jiazheng Xu","user":"xujz0703","type":"user"},{"_id":"67cd327432668b04f4555270","avatarUrl":"/avatars/15e2cef976cbe05c4c5858c88dccf4af.svg","isPro":false,"fullname":"Yanling Wang","user":"WYLing","type":"user"},{"_id":"63403c75b8b51e0098d3555c","avatarUrl":"/avatars/85725280b63788e387fe73319a54164d.svg","isPro":false,"fullname":"王维汉","user":"mactavish91","type":"user"}],"acceptLanguages":["*"],"dailyPaperRank":1}">

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