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Action representations that align with language can boost robotic control success rates by over 29% compared to traditional methods.
ELASTIC reduces wall-clock latency by 34% while matching the success rates of the best-performing models in real-world robot manipulation.
Instruction blindness in VLA models can be mitigated by optimizing for flatter loss landscapes, leading to over 60% better adherence to language instructions.
People judge AI's social skills by its actions, not its supposed thoughts, but they're still wary of letting it into their own lives.
