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Mar 21, 2024
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Collections including paper arxiv:2403.13372
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Mar 21, 2024
Mar 21, 2024
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Mar 21, 2024
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Mar 21, 2024
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3 days ago
3 days ago
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Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 18 -
SELF: Language-Driven Self-Evolution for Large Language Model
Paper • 2310.00533 • Published • 2 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 48 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 44
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Dec 11, 2024
Dec 11, 2024
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 185 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 69 -
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Paper • 2403.13372 • Published • 65 -
InternLM2 Technical Report
Paper • 2403.17297 • Published • 31
Collection by
22 days ago
22 days ago
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Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 50 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 53 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 45 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 23
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Mar 22, 2024
Mar 22, 2024
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Mar 26, 2024
Mar 26, 2024
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LLM Augmented LLMs: Expanding Capabilities through Composition
Paper • 2401.02412 • Published • 37 -
Generative Representational Instruction Tuning
Paper • 2402.09906 • Published • 54 -
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Paper • 2305.02301 • Published • 3 -
Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 52