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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 189 • 98 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 36 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88
Collections
Discover the best community collections!
Collections including paper arxiv:2510.12323
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From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence
Paper • 2511.18538 • Published • 282 -
RAG-Anything: All-in-One RAG Framework
Paper • 2510.12323 • Published • 54 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 78 -
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Paper • 2308.00436 • Published • 23
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O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
Paper • 2511.13593 • Published • 25 -
OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists
Paper • 2511.16931 • Published • 7 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 161 -
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
Paper • 2511.11793 • Published • 165
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Towards General Agentic Intelligence via Environment Scaling
Paper • 2509.13311 • Published • 71 -
Establishing Best Practices for Building Rigorous Agentic Benchmarks
Paper • 2507.02825 • Published • 1 -
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
Paper • 2510.19363 • Published • 61 -
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
Paper • 2510.18941 • Published • 7
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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 189 • 98 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 36 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88
-
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence
Paper • 2511.18538 • Published • 282 -
RAG-Anything: All-in-One RAG Framework
Paper • 2510.12323 • Published • 54 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 78 -
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Paper • 2308.00436 • Published • 23
-
O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
Paper • 2511.13593 • Published • 25 -
OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists
Paper • 2511.16931 • Published • 7 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 161 -
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
Paper • 2511.11793 • Published • 165
-
Towards General Agentic Intelligence via Environment Scaling
Paper • 2509.13311 • Published • 71 -
Establishing Best Practices for Building Rigorous Agentic Benchmarks
Paper • 2507.02825 • Published • 1 -
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
Paper • 2510.19363 • Published • 61 -
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
Paper • 2510.18941 • Published • 7