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Deep Research: A Systematic Survey
Paper • 2512.02038 • Published • 72 -
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
Paper • 2511.11793 • Published • 187 -
Step-DeepResearch Technical Report
Paper • 2512.20491 • Published • 86
Collections
Discover the best community collections!
Collections including paper arxiv:2511.11793
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Arbitrary-steps Image Super-resolution via Diffusion Inversion
Paper • 2412.09013 • Published • 13 -
Deep Researcher with Test-Time Diffusion
Paper • 2507.16075 • Published • 68 -
nablaNABLA: Neighborhood Adaptive Block-Level Attention
Paper • 2507.13546 • Published • 125 -
Yume: An Interactive World Generation Model
Paper • 2507.17744 • Published • 91
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Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 144 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 139 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 88
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O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
Paper • 2511.13593 • Published • 27 -
OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists
Paper • 2511.16931 • Published • 8 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 167 -
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
Paper • 2511.11793 • Published • 187
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DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
Paper • 2506.11763 • Published • 74 -
A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications
Paper • 2506.12594 • Published • 2 -
Towards an AI co-scientist
Paper • 2502.18864 • Published • 52 -
MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization
Paper • 2507.14683 • Published • 134
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
-
Deep Research: A Systematic Survey
Paper • 2512.02038 • Published • 72 -
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
Paper • 2511.11793 • Published • 187 -
Step-DeepResearch Technical Report
Paper • 2512.20491 • Published • 86
-
O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
Paper • 2511.13593 • Published • 27 -
OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists
Paper • 2511.16931 • Published • 8 -
General Agentic Memory Via Deep Research
Paper • 2511.18423 • Published • 167 -
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
Paper • 2511.11793 • Published • 187
-
Arbitrary-steps Image Super-resolution via Diffusion Inversion
Paper • 2412.09013 • Published • 13 -
Deep Researcher with Test-Time Diffusion
Paper • 2507.16075 • Published • 68 -
nablaNABLA: Neighborhood Adaptive Block-Level Attention
Paper • 2507.13546 • Published • 125 -
Yume: An Interactive World Generation Model
Paper • 2507.17744 • Published • 91
-
DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
Paper • 2506.11763 • Published • 74 -
A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications
Paper • 2506.12594 • Published • 2 -
Towards an AI co-scientist
Paper • 2502.18864 • Published • 52 -
MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization
Paper • 2507.14683 • Published • 134
-
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 144 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 139 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 88
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23