Shi Feng

Deferring translation in multilingual question answering can significantly reduce errors and improve efficiency, leading to more accurate results across diverse languages.

SHAPER enables embodied agents to self-evolve their skills and context without retraining, unlocking new possibilities for adaptation in fixed-interface scenarios.