Songfang Huang

Achieving a balance between pattern preservation and attribute retrieval, this method boosts retrieval performance while maintaining fine-grained contextual integrity.

VLAs learn to predict task success even when trained only with imitation learning, opening the door to improved performance without expensive reward engineering.