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Collections including paper arxiv:2512.10430

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

Text Generation • 0.8B • Updated 19 days ago • 5.68k • 1.23k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14, 2025 • 15
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17, 2025 • 354 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15, 2025 • 63

T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground

Paper • 2512.10430 • Published 25 days ago • 113

Large Language Models

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29, 2025 • 13
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 228
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation

Paper • 2510.00515 • Published Oct 1, 2025 • 39
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 141

T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground

Paper • 2512.10430 • Published 25 days ago • 113
X-Humanoid: Robotize Human Videos to Generate Humanoid Videos at Scale

Paper • 2512.04537 • Published Dec 4, 2025 • 6
Fed-SE: Federated Self-Evolution for Privacy-Constrained Multi-Environment LLM Agents

Paper • 2512.08870 • Published 27 days ago • 3
Evaluating Gemini Robotics Policies in a Veo World Simulator

Paper • 2512.10675 • Published 25 days ago • 17

The Art of Scaling Reinforcement Learning Compute for LLMs

Paper • 2510.13786 • Published Oct 15, 2025 • 31
Attention Is All You Need for KV Cache in Diffusion LLMs

Paper • 2510.14973 • Published Oct 16, 2025 • 40
BitNet Distillation

Paper • 2510.13998 • Published Oct 15, 2025 • 55
GigaBrain-0: A World Model-Powered Vision-Language-Action Model

Paper • 2510.19430 • Published Oct 22, 2025 • 49

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

Text Generation • 0.8B • Updated 19 days ago • 5.68k • 1.23k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14, 2025 • 15
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17, 2025 • 354 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15, 2025 • 63

T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground

Paper • 2512.10430 • Published 25 days ago • 113
X-Humanoid: Robotize Human Videos to Generate Humanoid Videos at Scale

Paper • 2512.04537 • Published Dec 4, 2025 • 6
Fed-SE: Federated Self-Evolution for Privacy-Constrained Multi-Environment LLM Agents

Paper • 2512.08870 • Published 27 days ago • 3
Evaluating Gemini Robotics Policies in a Veo World Simulator

Paper • 2512.10675 • Published 25 days ago • 17

T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground

Paper • 2512.10430 • Published 25 days ago • 113

The Art of Scaling Reinforcement Learning Compute for LLMs

Paper • 2510.13786 • Published Oct 15, 2025 • 31
Attention Is All You Need for KV Cache in Diffusion LLMs

Paper • 2510.14973 • Published Oct 16, 2025 • 40
BitNet Distillation

Paper • 2510.13998 • Published Oct 15, 2025 • 55
GigaBrain-0: A World Model-Powered Vision-Language-Action Model

Paper • 2510.19430 • Published Oct 22, 2025 • 49

Large Language Models

Universal Deep Research: Bring Your Own Model and Strategy

Paper • 2509.00244 • Published Aug 29, 2025 • 13
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 228
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation

Paper • 2510.00515 • Published Oct 1, 2025 • 39
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 141

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