Earlier Recurrent States Improve Looped Transformer Decoding Without Retraining

LoopCD contrasts early and final recurrent predictions to improve reasoning and coding accuracy, while allowing fewer loops at inference.

Big Tech
Weihao Liu · Huangjie Zheng · Tianrong Chen · Rohit Dilip · Richard He Bai · Yizhu Jiao · +2 more

Apple

Research Digest··2 min read
Liu et al.

The authors evaluated LoopCD across four families of looped Transformers.

Why this paper

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LoopCD contrasts early and final loop predictions to improve accuracy and allow halving recurrent loops for reduced compute.

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  • ✓Reports numbers on named benchmarks (2 benchmarks)

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Research Digest

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