-
microsoft/Phi-4-mini-flash-reasoning
Text Generation • 4B • Updated • 34.2k • 228 -
microsoft/Phi-4-mini-reasoning
Text Generation • 4B • Updated • 11.9k • 203 -
microsoft/Phi-4-reasoning
Text Generation • 15B • Updated • 201k • 204 -
microsoft/Phi-4-reasoning-plus
Text Generation • 15B • Updated • 12.6k • 323
Collections
Discover the best community collections!
Collections including paper arxiv:2504.21318
-
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 180 -
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
Paper • 2508.14444 • Published • 36 -
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Paper • 2507.06261 • Published • 61 -
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Paper • 2506.13585 • Published • 265
-
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
-
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
Paper • 2501.09751 • Published • 48 -
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Paper • 2501.09686 • Published • 40 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 417 -
s1: Simple test-time scaling
Paper • 2501.19393 • Published • 125
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
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 • 24
-
SeerAttention-R: Sparse Attention Adaptation for Long Reasoning
Paper • 2506.08889 • Published • 23 -
MiniCPM4: Ultra-Efficient LLMs on End Devices
Paper • 2506.07900 • Published • 91 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 260 -
OpenThoughts: Data Recipes for Reasoning Models
Paper • 2506.04178 • Published • 47
-
EuroBERT: Scaling Multilingual Encoders for European Languages
Paper • 2503.05500 • Published • 80 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 417 -
Qwen2.5-1M Technical Report
Paper • 2501.15383 • Published • 72 -
Baichuan-Omni-1.5 Technical Report
Paper • 2501.15368 • Published • 63
-
microsoft/Phi-4-mini-flash-reasoning
Text Generation • 4B • Updated • 34.2k • 228 -
microsoft/Phi-4-mini-reasoning
Text Generation • 4B • Updated • 11.9k • 203 -
microsoft/Phi-4-reasoning
Text Generation • 15B • Updated • 201k • 204 -
microsoft/Phi-4-reasoning-plus
Text Generation • 15B • Updated • 12.6k • 323
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
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 • 24
-
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 180 -
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
Paper • 2508.14444 • Published • 36 -
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Paper • 2507.06261 • Published • 61 -
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Paper • 2506.13585 • Published • 265
-
SeerAttention-R: Sparse Attention Adaptation for Long Reasoning
Paper • 2506.08889 • Published • 23 -
MiniCPM4: Ultra-Efficient LLMs on End Devices
Paper • 2506.07900 • Published • 91 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 260 -
OpenThoughts: Data Recipes for Reasoning Models
Paper • 2506.04178 • Published • 47
-
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
-
EuroBERT: Scaling Multilingual Encoders for European Languages
Paper • 2503.05500 • Published • 80 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 417 -
Qwen2.5-1M Technical Report
Paper • 2501.15383 • Published • 72 -
Baichuan-Omni-1.5 Technical Report
Paper • 2501.15368 • Published • 63
-
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
Paper • 2501.09751 • Published • 48 -
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Paper • 2501.09686 • Published • 40 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 417 -
s1: Simple test-time scaling
Paper • 2501.19393 • Published • 125