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2025 ICML ICML 2025

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Yuan Li, Zhengzhong Liu, Eric Xing

Topics

Machine Learning > Optimization & Theory > Optimization Machine Learning > Learning Types > Transfer Learning Artificial Intelligence > Core AI > Large Language Models

Keywords

scaling law validation loss downstream performance fine tuning data mixing reweighting
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