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Yongkang Liu

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#machine learning Review Aug 2026

A Target-Centric Survey of Quantization-Aware Training

A target-centric survey of QAT is provided, aimed at clarifying both its theoretical foundations and its evolving implementation landscape and synthesizing cross-target differences in error characteristics, numerical formats, and strategy transferability.

Jiashun Song, Mengjie Zhao, Zi-Jing Wang et al. · 0 citations
Preprint Aug 2026

TRAM: Enhancing Multimodal Reasoning with Trajectory-Derived Auxiliary Memory

TRAM (TRajectory-derived Auxiliary Memory), a training-free method that augments standard decoding with an auxiliary memory pathway derived from the model's own reasoning trajectory, shows that TRAM improves performance over vanilla decoding on mathematical, scientific, and general visual reasoning tasks without additi...

Kang Liu, Zi-Jing Wang, Yongkang Liu et al. · 0 citations

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