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Collections including paper arxiv:2506.21734 
						
					
				- 
	
	
	
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Paper • 2507.19457 • Published • 28 - 
	
	
	
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 156 - 
	
	
	
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 306 - 
	
	
	
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Paper • 2510.03215 • Published • 94 
- 
	
	
	
Test-Time Scaling with Reflective Generative Model
Paper • 2507.01951 • Published • 106 - 
	
	
	
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 150 - 
	
	
	
Autoregressive Diffusion Models
Paper • 2110.02037 • Published - 
	
	
	
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
Paper • 2502.09509 • Published • 8 
- 
	
	
	
Hierarchical Reasoning Model
Paper • 2506.21734 • Published • 43 - 
	
	
	
Dynamic Chunking for End-to-End Hierarchical Sequence Modeling
Paper • 2507.07955 • Published • 25 - 
	
	
	
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 80 - 
	
	
	
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Paper • 2508.02193 • Published • 130 
- 
	
	
	
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 - 
	
	
	
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 92 - 
	
	
	
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 17 - 
	
	
	
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Paper • 1910.10683 • Published • 14 
- 
	
	
	
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Paper • 2507.19457 • Published • 28 - 
	
	
	
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 156 - 
	
	
	
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 306 - 
	
	
	
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Paper • 2510.03215 • Published • 94 
- 
	
	
	
Hierarchical Reasoning Model
Paper • 2506.21734 • Published • 43 - 
	
	
	
Dynamic Chunking for End-to-End Hierarchical Sequence Modeling
Paper • 2507.07955 • Published • 25 - 
	
	
	
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 80 - 
	
	
	
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Paper • 2508.02193 • Published • 130 
- 
	
	
	
Test-Time Scaling with Reflective Generative Model
Paper • 2507.01951 • Published • 106 - 
	
	
	
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 150 - 
	
	
	
Autoregressive Diffusion Models
Paper • 2110.02037 • Published - 
	
	
	
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
Paper • 2502.09509 • Published • 8 
- 
	
	
	
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 - 
	
	
	
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 92 - 
	
	
	
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 17 - 
	
	
	
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Paper • 1910.10683 • Published • 14