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Towards Scalable Pre-training of Visual Tokenizers for Generation
Paper • 2512.13687 • Published • 108 -
MMGR: Multi-Modal Generative Reasoning
Paper • 2512.14691 • Published • 121 -
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Paper • 2512.23447 • Published • 100 -
LiveTalk: Real-Time Multimodal Interactive Video Diffusion via Improved On-Policy Distillation
Paper • 2512.23576 • Published • 66
Collections
Discover the best community collections!
Collections including paper arxiv:2508.05629
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RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 127 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 4
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Attention Is All You Need
Paper • 1706.03762 • Published • 140 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 12 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 13 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report
Paper • 2508.01059 • Published • 35 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 240 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 191 -
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 214
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On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 191 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 26 -
LIMA: Less Is More for Alignment
Paper • 2305.11206 • Published • 27 -
Preserving Diversity in Supervised Fine-Tuning of Large Language Models
Paper • 2408.16673 • Published
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 49
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Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 283 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 257 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 263
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LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation
Paper • 2508.03694 • Published • 53 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 191 -
Improving Video Generation with Human Feedback
Paper • 2501.13918 • Published • 55 -
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 125
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Towards Scalable Pre-training of Visual Tokenizers for Generation
Paper • 2512.13687 • Published • 108 -
MMGR: Multi-Modal Generative Reasoning
Paper • 2512.14691 • Published • 121 -
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Paper • 2512.23447 • Published • 100 -
LiveTalk: Real-Time Multimodal Interactive Video Diffusion via Improved On-Policy Distillation
Paper • 2512.23576 • Published • 66
-
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 191 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 26 -
LIMA: Less Is More for Alignment
Paper • 2305.11206 • Published • 27 -
Preserving Diversity in Supervised Fine-Tuning of Large Language Models
Paper • 2408.16673 • Published
-
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 127 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 4
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 49
-
Attention Is All You Need
Paper • 1706.03762 • Published • 140 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 12 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 13 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
-
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 283 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 257 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 263
-
Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report
Paper • 2508.01059 • Published • 35 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 240 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 191 -
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 214
-
LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation
Paper • 2508.03694 • Published • 53 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 191 -
Improving Video Generation with Human Feedback
Paper • 2501.13918 • Published • 55 -
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 125