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General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 170 -
Diffusion Language Models are Super Data Learners
Paper • 2511.03276 • Published • 132 -
SAM 3: Segment Anything with Concepts
Paper • 2511.16719 • Published • 135 -
Back to Basics: Let Denoising Generative Models Denoise
Paper • 2511.13720 • Published • 70
Collections
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Collections including paper arxiv:2511.13720
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Back to Basics: Let Denoising Generative Models Denoise
Paper • 2511.13720 • Published • 70 -
Virtual Width Networks
Paper • 2511.11238 • Published • 39 -
Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs
Paper • 2511.07419 • Published • 27 -
When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs
Paper • 2511.02243 • Published • 25
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TiDAR: Think in Diffusion, Talk in Autoregression
Paper • 2511.08923 • Published • 128 -
Diffusion Language Models are Super Data Learners
Paper • 2511.03276 • Published • 132 -
What Makes Diffusion Language Models Super Data Learners?
Paper • 2510.04071 • Published -
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Paper • 2512.15745 • Published • 88
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FastVLM: Efficient Vision Encoding for Vision Language Models
Paper • 2412.13303 • Published • 76 -
rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 118 -
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Paper • 2508.16279 • Published • 62 -
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Paper • 2509.12201 • Published • 107
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Diffusion Transformers with Representation Autoencoders
Paper • 2510.11690 • Published • 170 -
Back to Basics: Let Denoising Generative Models Denoise
Paper • 2511.13720 • Published • 70 -
Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion
Paper • 2512.04926 • Published • 42
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Arbitrary-steps Image Super-resolution via Diffusion Inversion
Paper • 2412.09013 • Published • 13 -
Deep Researcher with Test-Time Diffusion
Paper • 2507.16075 • Published • 68 -
nablaNABLA: Neighborhood Adaptive Block-Level Attention
Paper • 2507.13546 • Published • 126 -
Yume: An Interactive World Generation Model
Paper • 2507.17744 • Published • 92
-
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 170 -
Diffusion Language Models are Super Data Learners
Paper • 2511.03276 • Published • 132 -
SAM 3: Segment Anything with Concepts
Paper • 2511.16719 • Published • 135 -
Back to Basics: Let Denoising Generative Models Denoise
Paper • 2511.13720 • Published • 70
-
Back to Basics: Let Denoising Generative Models Denoise
Paper • 2511.13720 • Published • 70 -
Virtual Width Networks
Paper • 2511.11238 • Published • 39 -
Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs
Paper • 2511.07419 • Published • 27 -
When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs
Paper • 2511.02243 • Published • 25
-
TiDAR: Think in Diffusion, Talk in Autoregression
Paper • 2511.08923 • Published • 128 -
Diffusion Language Models are Super Data Learners
Paper • 2511.03276 • Published • 132 -
What Makes Diffusion Language Models Super Data Learners?
Paper • 2510.04071 • Published -
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Paper • 2512.15745 • Published • 88
-
Diffusion Transformers with Representation Autoencoders
Paper • 2510.11690 • Published • 170 -
Back to Basics: Let Denoising Generative Models Denoise
Paper • 2511.13720 • Published • 70 -
Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion
Paper • 2512.04926 • Published • 42
-
FastVLM: Efficient Vision Encoding for Vision Language Models
Paper • 2412.13303 • Published • 76 -
rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 118 -
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Paper • 2508.16279 • Published • 62 -
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Paper • 2509.12201 • Published • 107
-
Arbitrary-steps Image Super-resolution via Diffusion Inversion
Paper • 2412.09013 • Published • 13 -
Deep Researcher with Test-Time Diffusion
Paper • 2507.16075 • Published • 68 -
nablaNABLA: Neighborhood Adaptive Block-Level Attention
Paper • 2507.13546 • Published • 126 -
Yume: An Interactive World Generation Model
Paper • 2507.17744 • Published • 92