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cs.CV2026
Late Breaking Results: Audio-Language-Action Models with Direct Speech Conditioning for Robotic Manipulation
Enfu Nan, Pu Zhao, Yixiao Chen +5
Vision-language-action (VLA) models enable robots to follow instructions in typed text, limiting broader deployment in natural speech. The traditional solution by prepending a spee…
cs.CV2026
PhyGround: Benchmarking Physical Reasoning in Generative World Models
Juyi Lin, Arash Akbari, Yumei He +13
Generative world models are increasingly used for video generation, where learned simulators are expected to capture the physical rules that govern real-world dynamics. However, ev…