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Looped GPT-BERT: Trading Parameters for Computation in Small Language Modeling

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.09691v1 Announce Type: new Abstract: When training data are limited, increasing parameter count is not the only way to improve language-model performance. A small parameter set, when repeatedly applied, can also deliver comparable performance. We study Looped GPT-BERT in the BabyLM 2026…

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  1. 2026-09-10 04:00 · arXiv cs.CL
    Looped GPT-BERT: Trading Parameters for Computation in Small Language Modeling

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