In-Context World Modeling for Robotic Control
Paper • 2606.26025 • Published • 42
Jiancheng Pan
jaychempan
AI & ML interests
I am interested in cutting-edge Visual Intelligence, focusing on Multimodal Learning, Foundation Models and MLLMs, Data-centric AI, and their applications across, e.g., Egocentric Vision, Earth Observation, and AI for Sustainability.
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upvoted a paper about 9 hours ago
In-Context World Modeling for Robotic Control upvoted a paper 1 day ago
OPID: On-Policy Skill Distillation for Agentic Reinforcement LearningOrganizations
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papers 2 days ago
UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating
Paper • 2606.21661 • Published • 24
Are We Ready For An Agent-Native Memory System?
Paper • 2606.24775 • Published • 104
DomainShuttle: Freeform Open Domain Subject-driven Text-to-video Generation
Paper • 2606.26058 • Published • 62
Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models
Paper • 2606.25041 • Published • 87
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papers 3 days ago
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papers 4 days ago
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papers 7 days ago
Cosmos 3: Omnimodal World Models for Physical AI
Paper • 2606.02800 • Published • 136
Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models
Paper • 2606.11324 • Published • 170
Playful Agentic Robot Learning
Paper • 2606.19419 • Published • 50
Looped World Models
Paper • 2606.18208 • Published • 466
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