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LLMs can decode partner intents but struggle to translate this knowledge into cooperative actions, with explicit action recommendations proving far more effective than abstract rule statements.
VIPS reveals that integrating vehicle and infrastructure observations can significantly enhance the robustness of autonomous driving evaluations without the pitfalls of traditional simulation methods.
Unlocking up to 21% more success in embodied AI tasks by strategically deciding when to leverage existing policy behaviors versus retrieving external demonstrations.
