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Collections including paper arxiv:2512.13607

Nemotron-Cascade

Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models

nvidia/Nemotron-Cascade-8B

Text Generation • 8B • Updated 8 days ago • 2.41k • 43
nvidia/Nemotron-Cascade-8B-Thinking

Text Generation • 8B • Updated 8 days ago • 1.19k • 26
nvidia/Nemotron-Cascade-14B-Thinking

Text Generation • 15B • Updated 8 days ago • 2.41k • 44
nvidia/Nemotron-Cascade-8B-Intermediate-ckpts

Text Generation • Updated 8 days ago • 7

Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3 • 75
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Paper • 2510.05592 • Published Oct 7 • 106
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 500
Multi-Agent Tool-Integrated Policy Optimization

Paper • 2510.04678 • Published Oct 6 • 30

about 24 hours ago

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8 • 195
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model

Paper • 2508.14444 • Published Aug 20 • 39
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7 • 64
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 273

about 13 hours ago

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated 10 days ago • 7.37k • 1.23k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 15
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 349 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 63

Adversarial Flow Models

Paper • 2511.22475 • Published 30 days ago • 22
DiP: Taming Diffusion Models in Pixel Space

Paper • 2511.18822 • Published Nov 24 • 28
Asking like Socrates: Socrates helps VLMs understand remote sensing images

Paper • 2511.22396 • Published 30 days ago • 4
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning

Paper • 2512.05591 • Published 22 days ago • 16

Large Reasoning Models Learn Better Alignment from Flawed Thinking

Paper • 2510.00938 • Published Oct 1 • 58
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT

Paper • 2509.19284 • Published Sep 23 • 22
Learning to Reason as Action Abstractions with Scalable Mid-Training RL

Paper • 2509.25810 • Published Sep 30 • 5
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 269

about 7 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 463 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 99
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics

Paper • 2501.04686 • Published Jan 8 • 53
Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models

Paper • 2512.13607 • Published 12 days ago • 26

Nemotron-Cascade

Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models

nvidia/Nemotron-Cascade-8B

Text Generation • 8B • Updated 8 days ago • 2.41k • 43
nvidia/Nemotron-Cascade-8B-Thinking

Text Generation • 8B • Updated 8 days ago • 1.19k • 26
nvidia/Nemotron-Cascade-14B-Thinking

Text Generation • 15B • Updated 8 days ago • 2.41k • 44
nvidia/Nemotron-Cascade-8B-Intermediate-ckpts

Text Generation • Updated 8 days ago • 7

Adversarial Flow Models

Paper • 2511.22475 • Published 30 days ago • 22
DiP: Taming Diffusion Models in Pixel Space

Paper • 2511.18822 • Published Nov 24 • 28
Asking like Socrates: Socrates helps VLMs understand remote sensing images

Paper • 2511.22396 • Published 30 days ago • 4
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning

Paper • 2512.05591 • Published 22 days ago • 16

Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3 • 75
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Paper • 2510.05592 • Published Oct 7 • 106
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 500
Multi-Agent Tool-Integrated Policy Optimization

Paper • 2510.04678 • Published Oct 6 • 30

Large Reasoning Models Learn Better Alignment from Flawed Thinking

Paper • 2510.00938 • Published Oct 1 • 58
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT

Paper • 2509.19284 • Published Sep 23 • 22
Learning to Reason as Action Abstractions with Scalable Mid-Training RL

Paper • 2509.25810 • Published Sep 30 • 5
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 269

about 24 hours ago

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8 • 195
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model

Paper • 2508.14444 • Published Aug 20 • 39
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7 • 64
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 273

about 7 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 463 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

about 13 hours ago

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated 10 days ago • 7.37k • 1.23k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 15
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 349 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 63

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 99
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics

Paper • 2501.04686 • Published Jan 8 • 53
Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models

Paper • 2512.13607 • Published 12 days ago • 26

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