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nvidia/OpenReasoning-Nemotron-1.5B
Text Generation • 2B • Updated • 1.05k • 48 -
nvidia/OpenReasoning-Nemotron-7B
Text Generation • 8B • Updated • 27.7k • • 46 -
nvidia/OpenReasoning-Nemotron-14B
Text Generation • 15B • Updated • 1.24k • 43 -
nvidia/OpenReasoning-Nemotron-32B
Text Generation • 33B • Updated • 3.27k • • 118
Collections
Discover the best community collections!
Collections including paper arxiv:2507.09075
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microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 11k • 1.21k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 15 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 282 • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 62
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GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning
Paper • 2311.12631 • Published • 15 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 56 -
VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step
Paper • 2504.01956 • Published • 41 -
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding
Paper • 2506.23219 • Published • 7
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Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated
Paper • 2509.05739 • Published • 2 -
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers
Paper • 2509.03059 • Published • 24 -
Universal Deep Research: Bring Your Own Model and Strategy
Paper • 2509.00244 • Published • 13 -
<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs
Paper • 2509.08358 • Published • 13
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S*: Test Time Scaling for Code Generation
Paper • 2502.14382 • Published • 63 -
o1-Coder: an o1 Replication for Coding
Paper • 2412.00154 • Published • 44 -
Competitive Programming with Large Reasoning Models
Paper • 2502.06807 • Published • 68 -
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Paper • 2502.18449 • Published • 75
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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 • 25
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nvidia/OpenReasoning-Nemotron-1.5B
Text Generation • 2B • Updated • 1.05k • 48 -
nvidia/OpenReasoning-Nemotron-7B
Text Generation • 8B • Updated • 27.7k • • 46 -
nvidia/OpenReasoning-Nemotron-14B
Text Generation • 15B • Updated • 1.24k • 43 -
nvidia/OpenReasoning-Nemotron-32B
Text Generation • 33B • Updated • 3.27k • • 118
-
Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated
Paper • 2509.05739 • Published • 2 -
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers
Paper • 2509.03059 • Published • 24 -
Universal Deep Research: Bring Your Own Model and Strategy
Paper • 2509.00244 • Published • 13 -
<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs
Paper • 2509.08358 • Published • 13
-
S*: Test Time Scaling for Code Generation
Paper • 2502.14382 • Published • 63 -
o1-Coder: an o1 Replication for Coding
Paper • 2412.00154 • Published • 44 -
Competitive Programming with Large Reasoning Models
Paper • 2502.06807 • Published • 68 -
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Paper • 2502.18449 • Published • 75
-
microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 11k • 1.21k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 15 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 282 • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 62
-
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 • 25
-
GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning
Paper • 2311.12631 • Published • 15 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 56 -
VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step
Paper • 2504.01956 • Published • 41 -
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding
Paper • 2506.23219 • Published • 7