ArXiv TLDR

Feifei Gao

2 papers · Latest:

Robotics

CKT-WAM: Parameter-Efficient Context Knowledge Transfer Between World Action Models

CKT-WAM enables parameter-efficient knowledge transfer between World Action Models by injecting teacher context into student text embeddings.

2605.06247
Robotics

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts

VLA-GSE introduces a novel parameter-efficient fine-tuning framework using generalized and specialized experts to boost VLA model adaptation for robotic control tasks.

2605.06175

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