Collections
Discover the best community collections!
Collections including paper arxiv:2507.03724
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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 429 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 140 -
StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
Paper • 2409.12576 • Published • 16 -
Transformer Explainer: Interactive Learning of Text-Generative Models
Paper • 2408.04619 • Published • 172
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DeepSite v3
🐳16kGenerate any application by Vibe Coding
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MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157 -
How to Train Your LLM Web Agent: A Statistical Diagnosis
Paper • 2507.04103 • Published • 50 -
NeuralOS: Towards Simulating Operating Systems via Neural Generative Models
Paper • 2507.08800 • Published • 80
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A Single Transformer for Scalable Vision-Language Modeling
Paper • 2407.06438 • Published • 1 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 133 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 259 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157
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Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team
Paper • 2506.14234 • Published • 41 -
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models
Paper • 2506.14435 • Published • 7 -
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Paper • 2504.19413 • Published • 34 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157
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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 529 • 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
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GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Paper • 2503.14734 • Published • 5 -
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Paper • 2401.02117 • Published • 33 -
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Paper • 2506.01844 • Published • 143 -
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding
Paper • 2506.16035 • Published • 88
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R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization
Paper • 2503.10615 • Published • 17 -
UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
Paper • 2503.10630 • Published • 6 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 36 -
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Paper • 2503.07536 • Published • 88
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Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 102 -
Chain-of-Retrieval Augmented Generation
Paper • 2501.14342 • Published • 58 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 158
-
Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team
Paper • 2506.14234 • Published • 41 -
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models
Paper • 2506.14435 • Published • 7 -
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Paper • 2504.19413 • Published • 34 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157
-
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 429 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 140 -
StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation
Paper • 2409.12576 • Published • 16 -
Transformer Explainer: Interactive Learning of Text-Generative Models
Paper • 2408.04619 • Published • 172
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 529 • 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
-
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Paper • 2503.14734 • Published • 5 -
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Paper • 2401.02117 • Published • 33 -
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Paper • 2506.01844 • Published • 143 -
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding
Paper • 2506.16035 • Published • 88
-
DeepSite v3
🐳16kGenerate any application by Vibe Coding
-
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157 -
How to Train Your LLM Web Agent: A Statistical Diagnosis
Paper • 2507.04103 • Published • 50 -
NeuralOS: Towards Simulating Operating Systems via Neural Generative Models
Paper • 2507.08800 • Published • 80
-
R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization
Paper • 2503.10615 • Published • 17 -
UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
Paper • 2503.10630 • Published • 6 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 36 -
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Paper • 2503.07536 • Published • 88
-
A Single Transformer for Scalable Vision-Language Modeling
Paper • 2407.06438 • Published • 1 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 133 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 259 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157
-
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 102 -
Chain-of-Retrieval Augmented Generation
Paper • 2501.14342 • Published • 58 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 158