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Sizai Hou

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#machine learning Preprint Oct 2026

Inherited, Not Invented: Tracing the Provenance of Wait in Reasoning Models

Reinforcement learning (RL) is credited with teaching reasoning models to write {wait} before reconsidering a step, yet large RL accuracy gains do not require the word. This view can confuse what RL discovers with what a model inherits from its training data. We trace the word through open models'training histories, re...

Zhi-Zhuo Kou, Si-Zai Hou, Long Chen et al. · 0 citations
Preprint Aug 2026

Target-Aware Calibration Data Selection for Preserving Uncertainty in Quantized Language Models

DPQ is introduced, a lightweight pre-quantization recipe family that uses full-precision predictions to construct target-aligned calibration mixtures of high-doubt examples and generic anchors that better preserve broad multiple-choice QA behavior.

Zhen Yang, Sizai Hou, Kai-Wen Zheng et al. · 1 citation

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