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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
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
Collections
Discover the best community collections!
Collections including paper arxiv:2501.15383
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REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 102 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
Towards Best Practices for Open Datasets for LLM Training
Paper • 2501.08365 • Published • 63 -
Qwen2.5-1M Technical Report
Paper • 2501.15383 • Published • 71
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EuroBERT: Scaling Multilingual Encoders for European Languages
Paper • 2503.05500 • Published • 79 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 420 -
Qwen2.5-1M Technical Report
Paper • 2501.15383 • Published • 71 -
Baichuan-Omni-1.5 Technical Report
Paper • 2501.15368 • Published • 62
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2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
Are Vision-Language Models Truly Understanding Multi-vision Sensor?
Paper • 2412.20750 • Published • 20 -
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Paper • 2412.21187 • Published • 41 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 104
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Qwen Technical Report
Paper • 2309.16609 • Published • 37 -
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Paper • 2311.07919 • Published • 10 -
Qwen2 Technical Report
Paper • 2407.10671 • Published • 166 -
Qwen2-Audio Technical Report
Paper • 2407.10759 • Published • 61
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STaR: Bootstrapping Reasoning With Reasoning
Paper • 2203.14465 • Published • 9 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 11 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 89 -
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Paper • 2411.14405 • Published • 61
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
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
-
Qwen Technical Report
Paper • 2309.16609 • Published • 37 -
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Paper • 2311.07919 • Published • 10 -
Qwen2 Technical Report
Paper • 2407.10671 • Published • 166 -
Qwen2-Audio Technical Report
Paper • 2407.10759 • Published • 61
-
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 102 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
Towards Best Practices for Open Datasets for LLM Training
Paper • 2501.08365 • Published • 63 -
Qwen2.5-1M Technical Report
Paper • 2501.15383 • Published • 71
-
EuroBERT: Scaling Multilingual Encoders for European Languages
Paper • 2503.05500 • Published • 79 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 420 -
Qwen2.5-1M Technical Report
Paper • 2501.15383 • Published • 71 -
Baichuan-Omni-1.5 Technical Report
Paper • 2501.15368 • Published • 62
-
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
Are Vision-Language Models Truly Understanding Multi-vision Sensor?
Paper • 2412.20750 • Published • 20 -
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Paper • 2412.21187 • Published • 41 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 104
-
STaR: Bootstrapping Reasoning With Reasoning
Paper • 2203.14465 • Published • 9 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 11 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 89 -
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Paper • 2411.14405 • Published • 61