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How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 43 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 78 -
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 189 -
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Paper • 2403.02884 • Published • 17
peng
superpeng
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xl-zhao/PromptCoT-QwQ-Dataset
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Flmc/DISC-Med-SFT
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simplescaling/s1K-1.1
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BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 23 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 30 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 89 -
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Paper • 2405.17428 • Published • 20
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