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Unlocking Lossless Speedups in LLMs via Discrete Diffusion
Paper • 2609.04010 • Published • 149 -
SpatialBlock: Enhancing Spatial Intelligence in LVLMs via Synthetic Block-Stacking Problem
Paper • 2609.07064 • Published • 135 -
Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
Paper • 2609.05275 • Published • 23
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OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining
Paper • 2609.07398 • Published • 74 -
LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes
Paper • 2609.03796 • Published • 236 -
ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-training
Paper • 2609.00188 • Published • 53
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OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining
Paper • 2609.07398 • Published • 74 -
LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes
Paper • 2609.03796 • Published • 236 -
ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-training
Paper • 2609.00188 • Published • 53
-
Unlocking Lossless Speedups in LLMs via Discrete Diffusion
Paper • 2609.04010 • Published • 149 -
SpatialBlock: Enhancing Spatial Intelligence in LVLMs via Synthetic Block-Stacking Problem
Paper • 2609.07064 • Published • 135 -
Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
Paper • 2609.05275 • Published • 23