77 citations · 128 across the 20 of their papers we have counts for
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cs.LG2026
GFD-OPD: Guidance-Folded On-Policy Distillation of Diffusion Models Across Scales
Zhenxing Zhang, Jiayan Teng, Wenxu Wu +6
On-policy distillation (OPD) has demonstrated two important capabilities in language models: compressing large teachers into smaller students and merging expert models into a singl…
cs.LG2024★ 1 cited
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
Zhen Yang, Ming Ding, Tinglin Huang +5
Negative sampling has swiftly risen to prominence as a focal point of research, with wide-ranging applications spanning machine learning, computer vision, natural language processi…
cs.LG2023★ 10 cited
GPT Can Solve Mathematical Problems Without a Calculator
Zhen Yang, Ming Ding, Qingsong Lv +5
Previous studies have typically assumed that large language models are unable to accurately perform arithmetic operations, particularly multiplication of >8 digits, and operations…