Author

Xu Cao

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Preprint Sep 2026

Contextual Utility of Quantization Moves in Extreme Low-Bit LLMs

Post-training quantizers select finite code changes using reconstruction proxies or local loss approximations, but the utility of a quantization move depends on the state through which it is executed. We identify two sources of this contextual dependence. First, the displacement of the move matters: evaluating the grad...

Wen-Xuan Xiao, Xu Cao · 0 citations

#machine learning Preprint Sep 2026

When Does Low-Bit Quantization Preserve the Decisions of Vector Search?

A distribution-free decomposition: the probability that a comparison flips is bounded by the probability mass of exact margins near zero plus the tail probability of the calibrated residual, and a deterministic coupling theorem for Vamana neighbour selection is proved.

Wen-Xuan Xiao, Xu Cao · 0 citations