AlpaGasus: Training A Better Alpaca with Fewer Data
Paper
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2307.08701
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Published
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22
Dataset pruning/cleaning/dedup
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The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
Paper • 2303.03915 • Published • 6 -
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
Paper • 2309.04662 • Published • 22 -
SlimPajama-DC: Understanding Data Combinations for LLM Training
Paper • 2309.10818 • Published • 10 -
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale
Paper • 2309.04564 • Published • 15 -
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Paper • 2309.09400 • Published • 84 -
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
Paper • 2306.01116 • Published • 32 -
Self-Alignment with Instruction Backtranslation
Paper • 2308.06259 • Published • 41 -
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
Paper • 2111.04130 • Published • 1 -
Magicoder: Source Code Is All You Need
Paper • 2312.02120 • Published • 80 -
LLM360: Towards Fully Transparent Open-Source LLMs
Paper • 2312.06550 • Published • 57 -
Automated Data Curation for Robust Language Model Fine-Tuning
Paper • 2403.12776 • Published -
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models
Paper • 2405.20541 • Published • 21 -
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
Paper • 2406.10670 • Published • 4 -
DataComp-LM: In search of the next generation of training sets for language models
Paper • 2406.11794 • Published • 50