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GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 178 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 234 -
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Paper • 2507.06261 • Published • 60 -
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment
Paper • 2507.20984 • Published • 56
Collections
Discover the best community collections!
Collections including paper arxiv:2509.08827
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Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 69 -
CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
Paper • 2508.02091 • Published • 13 -
DINOv3
Paper • 2508.10104 • Published • 248 -
SSRL: Self-Search Reinforcement Learning
Paper • 2508.10874 • Published • 92
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Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
Paper • 2506.04207 • Published • 47 -
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Paper • 2504.11468 • Published • 28 -
RLPR: Extrapolating RLVR to General Domains without Verifiers
Paper • 2506.18254 • Published • 32 -
Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning
Paper • 2507.05255 • Published • 73
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microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 4.93k • 1.17k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 13 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 1.17k • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 61
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Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 50 -
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 23 -
Common 7B Language Models Already Possess Strong Math Capabilities
Paper • 2403.04706 • Published • 20 -
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 41
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Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization
Paper • 2508.07629 • Published • 41 -
Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning
Paper • 2508.07101 • Published • 13 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 7 -
Train Long, Think Short: Curriculum Learning for Efficient Reasoning
Paper • 2508.08940 • Published • 26
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Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 296 -
LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization
Paper • 2507.15758 • Published • 34 -
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
Paper • 2508.09726 • Published • 13 -
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
Paper • 2508.10975 • Published • 57
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Large Language Models are Locally Linear Mappings
Paper • 2505.24293 • Published • 14 -
Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models
Paper • 2507.07104 • Published • 45 -
KV Cache Steering for Inducing Reasoning in Small Language Models
Paper • 2507.08799 • Published • 40 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 121
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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 • 30 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 122 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 4
-
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 178 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 234 -
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Paper • 2507.06261 • Published • 60 -
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment
Paper • 2507.20984 • Published • 56
-
Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization
Paper • 2508.07629 • Published • 41 -
Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning
Paper • 2508.07101 • Published • 13 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 7 -
Train Long, Think Short: Curriculum Learning for Efficient Reasoning
Paper • 2508.08940 • Published • 26
-
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 69 -
CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
Paper • 2508.02091 • Published • 13 -
DINOv3
Paper • 2508.10104 • Published • 248 -
SSRL: Self-Search Reinforcement Learning
Paper • 2508.10874 • Published • 92
-
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 296 -
LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization
Paper • 2507.15758 • Published • 34 -
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
Paper • 2508.09726 • Published • 13 -
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
Paper • 2508.10975 • Published • 57
-
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
Paper • 2506.04207 • Published • 47 -
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Paper • 2504.11468 • Published • 28 -
RLPR: Extrapolating RLVR to General Domains without Verifiers
Paper • 2506.18254 • Published • 32 -
Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning
Paper • 2507.05255 • Published • 73
-
Large Language Models are Locally Linear Mappings
Paper • 2505.24293 • Published • 14 -
Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models
Paper • 2507.07104 • Published • 45 -
KV Cache Steering for Inducing Reasoning in Small Language Models
Paper • 2507.08799 • Published • 40 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 121
-
microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 4.93k • 1.17k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 13 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 1.17k • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 61
-
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 30 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 122 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 4
-
Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 50 -
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 23 -
Common 7B Language Models Already Possess Strong Math Capabilities
Paper • 2403.04706 • Published • 20 -
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 41