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#Data Efficiency

Research

Latent Feedback Is a Compute and Data Amplifier: Scaling Law for Latent Feedback Transformers on Repeated Data
Benhao Huang, Chaitanya Dwivedi, Xuezhe Ma, Alexander Moreno, Hector Liu
Nov 13th 2026
Institute of Foundation Models
#Latent Feedback
#Scaling Laws
#Data Efficiency

Feed a Transformer's own top-layer states back in as input, and every FLOP and every token count for more: the same loss with up to 46% less compute or 20% less unique data.

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Latent Feedback Is a Compute and Data Amplifier: Scaling Law for Latent Feedback Transformers on Repeated Data