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Zhenbo Sun

2 accepted papers

2026

How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining

ICLR 2026oral

Due to the scarcity of high-quality data, large language models (LLMs) are often trained on mixtures of data with varying quality levels, even after sophisticated data curation. A natural approach to better leverage high-quality data is curriculum-based pretraining, where the model is trained on dat…

Cited by 0SourceScholar
2025

A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules

ICLR 2025poster

Training large models is both resource-intensive and time-consuming, making it crucial to understand the quantitative relationship between model performance and hyperparameters. In this paper, we derive an empirical law that predicts pretraining loss for large language models for every intermediate…