3 papers
cs.LG2025
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models
Makoto Shing, Kou Misaki, Han Bao +2
Causal language models have demonstrated remarkable capabilities, but their size poses significant challenges for deployment in resource-constrained environments. Knowledge distill…
cs.CL2024
Zipfian Whitening
Sho Yokoi, Han Bao, Hiroto Kurita +1
The word embedding space in neural models is skewed, and correcting this can improve task performance. We point out that most approaches for modeling, correcting, and measuring the…
stat.ML2024
Proper losses regret at least 1/2-order
Han Bao, Asuka Takatsu
A fundamental challenge in machine learning is the choice of a loss as it characterizes our learning task, is minimized in the training phase, and serves as an evaluation criterion…