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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 28 - 
	
	
	
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 45 - 
	
	
	
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1 - 
	
	
	
LoRA ensembles for large language model fine-tuning
Paper • 2310.00035 • Published • 2 
Collections
Discover the best community collections!
Collections including paper arxiv:2311.11501 
						
					
				- 
	
	
	
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 89 - 
	
	
	
LMDX: Language Model-based Document Information Extraction and Localization
Paper • 2309.10952 • Published • 66 - 
	
	
	
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 41 - 
	
	
	
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 105 
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BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 105 - 
	
	
	
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 78 - 
	
	
	
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 - 
	
	
	
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 43 
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OmnimatteRF: Robust Omnimatte with 3D Background Modeling
Paper • 2309.07749 • Published • 8 - 
	
	
	
AudioSR: Versatile Audio Super-resolution at Scale
Paper • 2309.07314 • Published • 28 - 
	
	
	
Generative Image Dynamics
Paper • 2309.07906 • Published • 54 - 
	
	
	
MagiCapture: High-Resolution Multi-Concept Portrait Customization
Paper • 2309.06895 • Published • 27 
- 
	
	
	
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 28 - 
	
	
	
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 45 - 
	
	
	
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1 - 
	
	
	
LoRA ensembles for large language model fine-tuning
Paper • 2310.00035 • Published • 2 
- 
	
	
	
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 105 - 
	
	
	
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 78 - 
	
	
	
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 - 
	
	
	
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 43 
- 
	
	
	
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 89 - 
	
	
	
LMDX: Language Model-based Document Information Extraction and Localization
Paper • 2309.10952 • Published • 66 - 
	
	
	
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 41 - 
	
	
	
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 105 
- 
	
	
	
OmnimatteRF: Robust Omnimatte with 3D Background Modeling
Paper • 2309.07749 • Published • 8 - 
	
	
	
AudioSR: Versatile Audio Super-resolution at Scale
Paper • 2309.07314 • Published • 28 - 
	
	
	
Generative Image Dynamics
Paper • 2309.07906 • Published • 54 - 
	
	
	
MagiCapture: High-Resolution Multi-Concept Portrait Customization
Paper • 2309.06895 • Published • 27