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PhysiCalWorld: Calibrating world model physics parameters via in-context prompting

PhysiCalWorld proposes calibrating action-conditioned world models' physics via in-context prompting, without fine-tuning or analytical physics modeling, to adapt to instance-level dynamics.

Part of the event: PhysiCalWorld uses in-context prompting to calibrate world model physical parameters

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