Zhiyuan Zha

Predicting task-relevant latent futures, not raw pixels, unlocks efficient and effective long-horizon VLA control, outperforming reactive policies by over 11 percentage points.

Simple adaptive negative sampling can significantly boost the performance of knowledge graph foundation models on zero-shot completion tasks.