Where Bits Matter in World Model Planning: A Paired Mixed-Bit Study for Efficient Spatial Reasoning | ScienceToStartup | ScienceToStartup

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References (13)

[1]

An Empirical Study of World Model Quantization

2026Zhongqian Fu, Tianyi Zhao et al.

[2]

Low-bit Model Quantization for Deep Neural Networks: A Survey

2025Kai Liu, Qian Zheng et al.

[3]

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

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"Develop module-aware, low-bit quantization strategies for efficient AI spatial reasoning."

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Where Bits Matter in World Model Planning: A Paired Mixed-Bit Study for Efficient Spatial Reasoning

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Where Bits Matter in World Model Planning: A Paired Mixed-Bit Study for Efficient Spatial Reasoning

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References (13)

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