Article

Cartender: Verifiable Language-Conditioned Driving by Learning the Drives Not Taken

Cartender proposes Counterfactual Branching, which constructs matched and mismatched instruction-action pairs from real driving recordings without a simulator, using a vision-language model to propose alternative futures and their selecting instructions, with instructions unsupported by the scene serving as negative samples.

Part of the event: Cartender Improves Instruction Following with Unselected Driving Branches

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