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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:2502.13923
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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 420 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 207 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 305 -
Qwen-Image Technical Report
Paper • 2508.02324 • Published • 258
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LNS-Madam: Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update
Paper • 2106.13914 • Published • 1 -
HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges
Paper • 2506.15196 • Published • 3 -
Ascend HiFloat8 Format for Deep Learning
Paper • 2409.16626 • Published • 1 -
Recipes for Pre-training LLMs with MXFP8
Paper • 2506.08027 • Published • 1
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Large Language Diffusion Models
Paper • 2502.09992 • Published • 122 -
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Paper • 2502.10391 • Published • 34 -
Diverse Inference and Verification for Advanced Reasoning
Paper • 2502.09955 • Published • 18 -
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
Paper • 2502.08130 • Published • 9
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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 17 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 55 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 34
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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
-
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
-
iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 17 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 55 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 34
-
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 420 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 207 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 305 -
Qwen-Image Technical Report
Paper • 2508.02324 • Published • 258
-
LNS-Madam: Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update
Paper • 2106.13914 • Published • 1 -
HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges
Paper • 2506.15196 • Published • 3 -
Ascend HiFloat8 Format for Deep Learning
Paper • 2409.16626 • Published • 1 -
Recipes for Pre-training LLMs with MXFP8
Paper • 2506.08027 • Published • 1
-
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
-
Large Language Diffusion Models
Paper • 2502.09992 • Published • 122 -
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Paper • 2502.10391 • Published • 34 -
Diverse Inference and Verification for Advanced Reasoning
Paper • 2502.09955 • Published • 18 -
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
Paper • 2502.08130 • Published • 9