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Attention Is All You Need
Paper • 1706.03762 • Published • 121 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 10 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 11 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
Collections
Discover the best community collections!
Collections including paper arxiv:2508.05629
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report
Paper • 2508.01059 • Published • 34 -
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 • 211
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R-Zero: Self-Evolving Reasoning LLM from Zero Data
Paper • 2508.05004 • Published • 131 -
Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models
Paper • 2508.02120 • Published • 20 -
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
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Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 254 -
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 • 52 -
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 • 53 -
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 124
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Snowflake/Arctic-Text2SQL-R1-7B
8B • Updated • 8.12k • 70 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Paper • 2506.16406 • Published • 133
-
Attention Is All You Need
Paper • 1706.03762 • Published • 121 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 10 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 11 -
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 • 282 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 254 -
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 • 34 -
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 • 211
-
LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation
Paper • 2508.03694 • Published • 52 -
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 • 53 -
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 124
-
R-Zero: Self-Evolving Reasoning LLM from Zero Data
Paper • 2508.05004 • Published • 131 -
Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models
Paper • 2508.02120 • Published • 20 -
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
-
Snowflake/Arctic-Text2SQL-R1-7B
8B • Updated • 8.12k • 70 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Paper • 2506.16406 • Published • 133