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How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 40 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 182 -
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Paper • 2403.02884 • Published • 15
peng
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kaiokendev/SuperCOT-dataset
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kaiokendev/SuperCOT-LoRA
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RLHFlow/prompt-collection-v0.1
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BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 19 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 26 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 87 -
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Paper • 2405.17428 • Published • 17
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