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cs.CL2026
Distilling Token-Trained Models into Byte-Level Models
Zishuo Bao, Jiaqi Leng, Junxiong Wang +2
Byte Language Models (BLMs) have emerged as a promising direction for scaling language models beyond tokenization. However, existing BLMs typically require training from scratch on…
cs.CL2025
Bayesian Optimization for Enhanced Language Models: Optimizing Acquisition Functions
Zishuo Bao, Yibo Liu, Changyutao Qiu
With the rise of different language model architecture, fine-tuning is becoming even more important for down stream tasks Model gets messy, finding proper hyperparameters for fine-…