- 
	
	
	
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
Paper • 2404.15420 • Published • 11 - 
	
	
	
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 126 - 
	
	
	
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 258 - 
	
	
	
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study
Paper • 2404.14047 • Published • 45 
Collections
Discover the best community collections!
Collections including paper arxiv:2404.07413 
						
					
				- 
	
	
	
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 - 
	
	
	
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Paper • 2403.05530 • Published • 66 - 
	
	
	
StarCoder: may the source be with you!
Paper • 2305.06161 • Published • 31 - 
	
	
	
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 60 
- 
	
	
	
JetMoE: Reaching Llama2 Performance with 0.1M Dollars
Paper • 2404.07413 • Published • 38 - 
	
	
	
Allowing humans to interactively guide machines where to look does not always improve a human-AI team's classification accuracy
Paper • 2404.05238 • Published • 3 - 
	
	
	
Cognitive Architectures for Language Agents
Paper • 2309.02427 • Published • 8 - 
	
	
	
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings
Paper • 2305.13571 • Published • 2 
- 
	
	
	
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 63 - 
	
	
	
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Paper • 2402.09320 • Published • 6 - 
	
	
	
sDPO: Don't Use Your Data All at Once
Paper • 2403.19270 • Published • 41 - 
	
	
	
Dueling RL: Reinforcement Learning with Trajectory Preferences
Paper • 2111.04850 • Published • 2 
- 
	
	
	
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 93 - 
	
	
	
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 22 - 
	
	
	
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 26 - 
	
	
	
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 29 
- 
	
	
	
JetMoE: Reaching Llama2 Performance with 0.1M Dollars
Paper • 2404.07413 • Published • 38 - 
	
	
	
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 93 - 
	
	
	
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 111 - 
	
	
	
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 107 
- 
	
	
	
One-step Diffusion with Distribution Matching Distillation
Paper • 2311.18828 • Published • 3 - 
	
	
	
The Unreasonable Ineffectiveness of the Deeper Layers
Paper • 2403.17887 • Published • 82 - 
	
	
	
Condition-Aware Neural Network for Controlled Image Generation
Paper • 2404.01143 • Published • 13 - 
	
	
	
Locating and Editing Factual Associations in GPT
Paper • 2202.05262 • Published • 1 
- 
	
	
	
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
Paper • 2404.15420 • Published • 11 - 
	
	
	
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 126 - 
	
	
	
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 258 - 
	
	
	
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study
Paper • 2404.14047 • Published • 45 
- 
	
	
	
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 93 - 
	
	
	
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 22 - 
	
	
	
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 26 - 
	
	
	
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 29 
- 
	
	
	
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 - 
	
	
	
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Paper • 2403.05530 • Published • 66 - 
	
	
	
StarCoder: may the source be with you!
Paper • 2305.06161 • Published • 31 - 
	
	
	
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 60 
- 
	
	
	
JetMoE: Reaching Llama2 Performance with 0.1M Dollars
Paper • 2404.07413 • Published • 38 - 
	
	
	
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 93 - 
	
	
	
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 111 - 
	
	
	
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 107 
- 
	
	
	
JetMoE: Reaching Llama2 Performance with 0.1M Dollars
Paper • 2404.07413 • Published • 38 - 
	
	
	
Allowing humans to interactively guide machines where to look does not always improve a human-AI team's classification accuracy
Paper • 2404.05238 • Published • 3 - 
	
	
	
Cognitive Architectures for Language Agents
Paper • 2309.02427 • Published • 8 - 
	
	
	
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings
Paper • 2305.13571 • Published • 2 
- 
	
	
	
One-step Diffusion with Distribution Matching Distillation
Paper • 2311.18828 • Published • 3 - 
	
	
	
The Unreasonable Ineffectiveness of the Deeper Layers
Paper • 2403.17887 • Published • 82 - 
	
	
	
Condition-Aware Neural Network for Controlled Image Generation
Paper • 2404.01143 • Published • 13 - 
	
	
	
Locating and Editing Factual Associations in GPT
Paper • 2202.05262 • Published • 1 
- 
	
	
	
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 63 - 
	
	
	
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Paper • 2402.09320 • Published • 6 - 
	
	
	
sDPO: Don't Use Your Data All at Once
Paper • 2403.19270 • Published • 41 - 
	
	
	
Dueling RL: Reinforcement Learning with Trajectory Preferences
Paper • 2111.04850 • Published • 2