Author

Yao-Ming Li

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Preprint Aug 2026

ReQuant: Fixed-Grid Discrete Refinement for Post-Training Quantization

ReQuant is introduced, a backpropagation-free fixed-grid refinement procedure that takes an existing quantized model as a feasible starting point and iteratively revisits its discrete weight assignments on the fixed quantization grid, and turns the initially fixed PTQ output into an iteratively optimizable discrete solution.

Yongge Ma, Guoan Wang, Feiyu Wang et al. · 0 citations

Preprint Aug 2026

ArborMem: Navigating Interaction States with Memory Forests

This work introduces ArborMem, an online memory framework that represents a long-running conversation as a navigable forest of interaction states that outperforms the strongest baselines on three established benchmarks and introduces BranchMemEval, a controlled diagnostic benchmark for interleaved and resumable interaction trajectories.

Zongwei Lv, Yue-Meng Xu, Yilun Yao et al. · 0 citations

Preprint Jul 2026

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding

This work analyzes real chatbot failures to identify six recurring mechanisms and defines six controlled evaluation modes in Hy-MultiTurn, a Chinese benchmark for deep multi-turn dialogue understanding, which shows that Hy-MultiTurn is broadly challenging.

Eileen Ye, Ji-Hua Tao, Yao-Ming Li et al. · 0 citations