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commented on a paper about 20 hours ago

rStar2-Agent: Agentic Reasoning Technical Report

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USO 🎨 Unified customization model released by Bytedance research Demo https://huggingface.co/spaces/bytedance-research/USO Model https://huggingface.co/bytedance-research/USO Paper https://huggingface.co/papers/2508.18966 ✨ Large-scale triplet dataset (content, style, stylized) ✨ Disentangled learning: style alignment + content preservation ✨ Style Reward Learning (SRL) for higher fidelity ✨ USO-Bench: 1st benchmark for style & subject jointly ✨ SOTA results on subject consistency & style similarity

upvoted a paper about 22 hours ago

USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning

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USO 🎨 Unified customization model released by Bytedance research

Demo
bytedance-research/USO
Model
bytedance-research/USO
Paper
USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning (2508.18966)

✨ Large-scale triplet dataset (content, style, stylized)
✨ Disentangled learning: style alignment + content preservation
✨ Style Reward Learning (SRL) for higher fidelity
✨ USO-Bench: 1st benchmark for style & subject jointly
✨ SOTA results on subject consistency & style similarity

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A Short Summary of Chinese AI Global Expansion

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