Papers by Ruitao Leng

1 papers
Scaling Laws for Linear Complexity Language Models (2024.emnlp-main)

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Challenge: Existing scaling laws for large language models are unclear, but they are useful for scalability.
Approach: They propose scaling laws for linear complexity language models to establish a foundation for their scalability.
Outcome: The proposed models demonstrate superior linguistic proficiency and knowledge retention.

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