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Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 464 -
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
Paper • 2510.07499 • Published • 48 -
Improving Context Fidelity via Native Retrieval-Augmented Reasoning
Paper • 2509.13683 • Published • 8 -
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering
Paper • 2509.00798 • Published • 1
Collections
Discover the best community collections!
Collections including paper arxiv:2506.05817
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Seed-Coder: Let the Code Model Curate Data for Itself
Paper • 2506.03524 • Published • 6 -
Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning
Paper • 2504.13914 • Published • 4 -
FlowTok: Flowing Seamlessly Across Text and Image Tokens
Paper • 2503.10772 • Published • 19 -
UVE: Are MLLMs Unified Evaluators for AI-Generated Videos?
Paper • 2503.09949 • Published • 5
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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 261 • 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
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 464 -
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
Paper • 2510.07499 • Published • 48 -
Improving Context Fidelity via Native Retrieval-Augmented Reasoning
Paper • 2509.13683 • Published • 8 -
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering
Paper • 2509.00798 • Published • 1
-
Seed-Coder: Let the Code Model Curate Data for Itself
Paper • 2506.03524 • Published • 6 -
Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning
Paper • 2504.13914 • Published • 4 -
FlowTok: Flowing Seamlessly Across Text and Image Tokens
Paper • 2503.10772 • Published • 19 -
UVE: Are MLLMs Unified Evaluators for AI-Generated Videos?
Paper • 2503.09949 • Published • 5
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 261 • 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