Qi Chen

Optimizing autonomous driving policies directly against benchmark scores produces gains that can completely reverse under altered execution interfaces, revealing that top-performing models often exploit measurement artifacts rather than improving vehicle control.

Leading image generation models fail over 40% of goal-driven visual reasoning tasks, but decoupling explicit visual planning from generation boosts task completion by up to 14.6 points without fine-tuning.