Author

Minkyoung Cho

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#artificial intelligence Preprint Oct 2026

Grounding What Shapes the Plan: Rethinking Groundedness for Physical Intelligence in Autonomous Driving

Driving models increasingly ground reasoning in causal relations, spatial structure, perceptual evidence, and predicted futures. These advances make reasoning more faithful to the driving scene, but leave a fundamental question unresolved: what should groundedness mean when the model ultimately outputs an action? Corre...

Minkyoung Cho, Ze-Wei Zhou, Wen-Hao Ding et al. · 0 citations

Jul 2026

Test-Time Scaling for World Action Models via Zero-Shot Geometric Evaluation

Test-time scaling improves foundation-model inference by spending additional computation, but robot control requires deciding whether extra compute is useful before executing an action. World Action Models (WAMs) make this decision natural: each rollout exposes both an action chunk and predicted future observations. We...

Zesen Zhao, Minkyoung Cho, Hui Shen et al. · arXiv.org · 6 citations · ⚡2