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Author

Paul Pu Liang

Papers that credit Paul Pu Liang in their source bylines. Matching names may refer to different researchers.

1 results

PaperMachine Learning
Matching training optimizers adds little consistent benefit
Experiments find little consistent downstream benefit from matching AdamW and Muon across language-model training stages.
Added to Chiosa Oct 19, 2026
#cost-performance #matrix-aware-optimization

Paul Pu Liang

Matching training optimizers adds little consistent benefit