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INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models
Paper • 2607.26056 • Published • 18 -
DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models
Paper • 2605.03877 • Published • 3 -
Embodied-Navigator: Point, Think, Memorize, and Align for Efficient Navigation
Paper • 2608.17512 • Published • 53 -
MahmoodLab/UNI2-h
Image Feature Extraction • Updated • 68.8k • 257
Zhejiang University
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AI & ML interests
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Papers
More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning
Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation
Organization Card
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INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models
Paper • 2607.26056 • Published • 18 -
DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models
Paper • 2605.03877 • Published • 3 -
Embodied-Navigator: Point, Think, Memorize, and Align for Efficient Navigation
Paper • 2608.17512 • Published • 53 -
MahmoodLab/UNI2-h
Image Feature Extraction • Updated • 68.8k • 257