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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2510.11690
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Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 31 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 9 -
Making Mathematical Reasoning Adaptive
Paper • 2510.04617 • Published • 22 -
DocReward: A Document Reward Model for Structuring and Stylizing
Paper • 2510.11391 • Published • 27
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Is Noise Conditioning Necessary for Denoising Generative Models?
Paper • 2502.13129 • Published • 1 -
REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
Paper • 2504.10483 • Published • 21 -
Mean Flows for One-step Generative Modeling
Paper • 2505.13447 • Published • 7 -
Latent Diffusion Model without Variational Autoencoder
Paper • 2510.15301 • Published • 48
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Diffusion Transformers with Representation Autoencoders
Paper • 2510.11690 • Published • 165 -
Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model
Paper • 2510.12276 • Published • 145 -
FlashWorld: High-quality 3D Scene Generation within Seconds
Paper • 2510.13678 • Published • 71 -
ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints
Paper • 2510.14847 • Published • 55
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Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 492 -
Diffusion Transformers with Representation Autoencoders
Paper • 2510.11690 • Published • 165 -
VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing
Paper • 2510.05213 • Published • 5
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Diffusion Transformers with Representation Autoencoders
Paper • 2510.11690 • Published • 165 -
Back to Basics: Let Denoising Generative Models Denoise
Paper • 2511.13720 • Published • 63 -
Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion
Paper • 2512.04926 • Published • 27
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MM-HELIX: Boosting Multimodal Long-Chain Reflective Reasoning with Holistic Platform and Adaptive Hybrid Policy Optimization
Paper • 2510.08540 • Published • 109 -
Diffusion Transformers with Representation Autoencoders
Paper • 2510.11690 • Published • 165 -
Spotlight on Token Perception for Multimodal Reinforcement Learning
Paper • 2510.09285 • Published • 36 -
Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
Paper • 2510.17354 • Published • 33
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Is Noise Conditioning Necessary for Denoising Generative Models?
Paper • 2502.13129 • Published • 1 -
REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
Paper • 2504.10483 • Published • 21 -
Mean Flows for One-step Generative Modeling
Paper • 2505.13447 • Published • 7 -
Latent Diffusion Model without Variational Autoencoder
Paper • 2510.15301 • Published • 48
-
Diffusion Transformers with Representation Autoencoders
Paper • 2510.11690 • Published • 165 -
Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model
Paper • 2510.12276 • Published • 145 -
FlashWorld: High-quality 3D Scene Generation within Seconds
Paper • 2510.13678 • Published • 71 -
ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints
Paper • 2510.14847 • Published • 55
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 492 -
Diffusion Transformers with Representation Autoencoders
Paper • 2510.11690 • Published • 165 -
VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing
Paper • 2510.05213 • Published • 5
-
Diffusion Transformers with Representation Autoencoders
Paper • 2510.11690 • Published • 165 -
Back to Basics: Let Denoising Generative Models Denoise
Paper • 2511.13720 • Published • 63 -
Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion
Paper • 2512.04926 • Published • 27
-
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 31 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 9 -
Making Mathematical Reasoning Adaptive
Paper • 2510.04617 • Published • 22 -
DocReward: A Document Reward Model for Structuring and Stylizing
Paper • 2510.11391 • Published • 27
-
MM-HELIX: Boosting Multimodal Long-Chain Reflective Reasoning with Holistic Platform and Adaptive Hybrid Policy Optimization
Paper • 2510.08540 • Published • 109 -
Diffusion Transformers with Representation Autoencoders
Paper • 2510.11690 • Published • 165 -
Spotlight on Token Perception for Multimodal Reinforcement Learning
Paper • 2510.09285 • Published • 36 -
Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
Paper • 2510.17354 • Published • 33