Author

Zesen Zhao

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Preprint Oct 2026

Right On Q: Recovering Reasoning under Quantization via Self-Generated Trajectories

Quantization-aware training (QAT) aims to recover reasoning capabilities in low-bit large language models (LLMs). Existing recipes typically supervise the quantized student with the original full-precision model on fixed response sequences. However, the resulting low-bit quantized models still struggle on long-horizon...

Bo-Yuan Zheng, Jing Xiong, Chen-Wei Wu et al. · 0 citations

Preprint Aug 2026

A Cloud-Edge System for Multimodal Clinical Screening in Resource-Constrained Rural Settings

The hybrid system achieves 98--99% diagnostic tool recall with 92--96% precision, matches or exceeds cloud-only baselines on clinical accuracy, and maintains bandwidth-invariant latency (25--35,s) at 4--15x lower token cost.

Hei-Ting Chan, Chen-Wei Wu, Xue-Shen Liu et al. · 0 citations

Jul 2026

Test-Time Scaling for World Action Models via Zero-Shot Geometric Evaluation

Test-time scaling improves foundation-model inference by spending additional computation, but robot control requires deciding whether extra compute is useful before executing an action. World Action Models (WAMs) make this decision natural: each rollout exposes both an action chunk and predicted future observations. We...

Zesen Zhao, Minkyoung Cho, Hui Shen et al. · arXiv.org · 6 citations · ⚡2