The Curse of Depth in Large Language Models
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2502.05795
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Published
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40
Training optimization
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Transformers without Normalization
Paper • 2503.10622 • Published • 171 -
Parallel Scaling Law for Language Models
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Learning to Skip the Middle Layers of Transformers
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FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language
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All is Not Lost: LLM Recovery without Checkpoints
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TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-training
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Superpositional Gradient Descent: Harnessing Quantum Principles for Model Training
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Souper-Model: How Simple Arithmetic Unlocks State-of-the-Art LLM Performance
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