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Author

Hang Zhang

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#artificial intelligence Preprint Sep 2026

GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives

Precise grounding matters. It specifies which object is the target and where that object is, even in clutter and for tiny objects, and it has to be fast enough for closed-loop control. Yet vision-language-action (VLA) and world-action models (WAMs) take perception from general-purpose vision-language and video-generati...

Qi-Ze Yu, Lian-Rui Fan, Bo-Yu Chen et al. · 0 citations
#artificial intelligence Preprint Aug 2026

TuringLLM: Efficiently Scaling Foundation Models Toward Physical AI

Despite its compact active-parameter budget, Turing-20B-A2B achieves, at the base-model stage, overall general capability exceeding Qwen3-8B Base and approaching Qwen3.5-9B Base, while maintaining strong long-context performance and favorable prefill-latency scaling.

Yu-Heng Zhang, Yi-Zhao Wang, Daijun Zhu et al. · 0 citations

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