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School of Informatics, Xiamen University, China
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Achieve efficient and positionally consistent simultaneous machine translation with LLMs, regardless of the positional encoding method, using a surprisingly simple explicit position allocation strategy.
Forget brittle multi-policy execution and manual resets: RoboClaw's "Entangled Action Pairs" let robots self-correct and learn continuously, slashing human intervention by over 50% while boosting task success.
