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When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale research paper by Cohere, 2023

Cohere · Sep 8, 2023 · Training and scaling · 17 upvotes 3 years ago

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What it shows

Perplexity outperforms more complex methods for data quality estimation in pruning large language model training datasets, resulting in performance improvement with reduced data.

Hugging Face's summary; not yet checked by hand.

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About this paper
Authors
Max Marion, Ahmet Üstün, Luiza Pozzobon and 3 more
arXiv
2309.04564 · PDF
Citations
Not counted yet · Semantic Scholar
Upvotes
17 · Hugging Face
Lab
Cohere · on Companies · on Acquisitions · on Releases

Changes

What changed
New paperAdded to the listSep 26, 2026today

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