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microsoft/Phi-4-mini-flash-reasoning
Text Generation • 4B • Updated • 4.43k • 244 -
microsoft/Phi-4-mini-reasoning
Text Generation • 4B • Updated • 16.1k • 210 -
microsoft/Phi-4-reasoning
Text Generation • 15B • Updated • 193k • 208 -
microsoft/Phi-4-reasoning-plus
Text Generation • 15B • Updated • 14.5k • 326
Collections
Discover the best community collections!
Collections including paper arxiv:2412.08905
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MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 285 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 156 -
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 147
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2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 52 -
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Paper • 2501.01423 • Published • 43 -
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents
Paper • 2411.13552 • Published
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RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 88 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 47 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 35 -
Revisiting In-Context Learning with Long Context Language Models
Paper • 2412.16926 • Published • 32
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Cosmos World Foundation Model Platform for Physical AI
Paper • 2501.03575 • Published • 81 -
Phi-4 Technical Report
Paper • 2412.08905 • Published • 121 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
DeepSeek-V3 Technical Report
Paper • 2412.19437 • Published • 71
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ProcessBench: Identifying Process Errors in Mathematical Reasoning
Paper • 2412.06559 • Published • 84 -
Maya: An Instruction Finetuned Multilingual Multimodal Model
Paper • 2412.07112 • Published • 28 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 35 -
Diving into Self-Evolving Training for Multimodal Reasoning
Paper • 2412.17451 • Published • 43
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Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 28 -
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 43 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 156 -
Autoregressive Video Generation without Vector Quantization
Paper • 2412.14169 • Published • 14
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microsoft/Phi-4-mini-flash-reasoning
Text Generation • 4B • Updated • 4.43k • 244 -
microsoft/Phi-4-mini-reasoning
Text Generation • 4B • Updated • 16.1k • 210 -
microsoft/Phi-4-reasoning
Text Generation • 15B • Updated • 193k • 208 -
microsoft/Phi-4-reasoning-plus
Text Generation • 15B • Updated • 14.5k • 326
-
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 285 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 156 -
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 147
-
Cosmos World Foundation Model Platform for Physical AI
Paper • 2501.03575 • Published • 81 -
Phi-4 Technical Report
Paper • 2412.08905 • Published • 121 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
DeepSeek-V3 Technical Report
Paper • 2412.19437 • Published • 71
-
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 52 -
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Paper • 2501.01423 • Published • 43 -
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents
Paper • 2411.13552 • Published
-
ProcessBench: Identifying Process Errors in Mathematical Reasoning
Paper • 2412.06559 • Published • 84 -
Maya: An Instruction Finetuned Multilingual Multimodal Model
Paper • 2412.07112 • Published • 28 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 35 -
Diving into Self-Evolving Training for Multimodal Reasoning
Paper • 2412.17451 • Published • 43
-
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 88 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 47 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 35 -
Revisiting In-Context Learning with Long Context Language Models
Paper • 2412.16926 • Published • 32
-
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 28 -
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 43 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 156 -
Autoregressive Video Generation without Vector Quantization
Paper • 2412.14169 • Published • 14