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Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective
Paper • 2505.15045 • Published • 54 -
MMaDA: Multimodal Large Diffusion Language Models
Paper • 2505.15809 • Published • 97 -
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing
Paper • 2505.21600 • Published • 71 -
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO
Paper • 2505.22453 • Published • 46
Collections
Discover the best community collections!
Collections including paper arxiv:2505.24120
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CoRAG: Collaborative Retrieval-Augmented Generation
Paper • 2504.01883 • Published • 9 -
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Paper • 2504.08837 • Published • 43 -
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
Paper • 2504.10068 • Published • 30 -
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
Paper • 2504.10481 • Published • 85
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Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Paper • 2409.04109 • Published • 48 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 140 -
Reward-Robust RLHF in LLMs
Paper • 2409.15360 • Published • 6 -
EuroLLM: Multilingual Language Models for Europe
Paper • 2409.16235 • Published • 29
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Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
Paper • 2504.16656 • Published • 57 -
Skywork/Skywork-R1V2-38B
Image-Text-to-Text • 38B • Updated • 132 • 126 -
Skywork/Skywork-R1V2-38B-AWQ
Image-Text-to-Text • Updated • 69 • 11 -
Skywork/Skywork-VL-Reward-7B
Image-Text-to-Text • 8B • Updated • 17.9k • 46
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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 • 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
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Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective
Paper • 2505.15045 • Published • 54 -
MMaDA: Multimodal Large Diffusion Language Models
Paper • 2505.15809 • Published • 97 -
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing
Paper • 2505.21600 • Published • 71 -
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO
Paper • 2505.22453 • Published • 46
-
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
Paper • 2504.16656 • Published • 57 -
Skywork/Skywork-R1V2-38B
Image-Text-to-Text • 38B • Updated • 132 • 126 -
Skywork/Skywork-R1V2-38B-AWQ
Image-Text-to-Text • Updated • 69 • 11 -
Skywork/Skywork-VL-Reward-7B
Image-Text-to-Text • 8B • Updated • 17.9k • 46
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CoRAG: Collaborative Retrieval-Augmented Generation
Paper • 2504.01883 • Published • 9 -
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Paper • 2504.08837 • Published • 43 -
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
Paper • 2504.10068 • Published • 30 -
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
Paper • 2504.10481 • Published • 85
-
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Paper • 2409.04109 • Published • 48 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 140 -
Reward-Robust RLHF in LLMs
Paper • 2409.15360 • Published • 6 -
EuroLLM: Multilingual Language Models for Europe
Paper • 2409.16235 • Published • 29
-
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 • 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