Papers by YiXuan Liao

1 papers
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models (2024.emnlp-main)

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Challenge: Version updates are an indispensable requirement for Large Language Models . a large learning rate in the first stage and a complete learning decay process are crucial for version updates of LLMs.
Approach: They propose a learning rate path switching training paradigm for version updates of Large Language Models.
Outcome: The proposed paradigm reduces training cost to 58% when training four versions of LLMs compared to PTFS and CPT .

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