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Author

Weiyang Jin

Papers that credit Weiyang Jin in their source bylines. Matching names may refer to different researchers.

1 results

PaperMachine Learning
Two fully trained loops can match large models with fewer parameters
A scaling law predicts validation loss for looped transformers and favors fully trained loops when both loop counts can vary.
Added to Chiosa Oct 20, 2026
#cost-performance #elastic-depth #joint-scaling

Weiyang Jin

Two fully trained loops can match large models with fewer parameters