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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 49
Collections
Discover the best community collections!
Collections including paper arxiv:2410.16184
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RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 71 -
Understanding and Diagnosing Deep Reinforcement Learning
Paper • 2406.16979 • Published • 10 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 62 -
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
Paper • 2407.00617 • Published • 7
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 49
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PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
Paper • 2410.13785 • Published • 19 -
Aligning Large Language Models via Self-Steering Optimization
Paper • 2410.17131 • Published • 24 -
Baichuan Alignment Technical Report
Paper • 2410.14940 • Published • 51 -
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation
Paper • 2410.14745 • Published • 47
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 31 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 49
-
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
Paper • 2410.13785 • Published • 19 -
Aligning Large Language Models via Self-Steering Optimization
Paper • 2410.17131 • Published • 24 -
Baichuan Alignment Technical Report
Paper • 2410.14940 • Published • 51 -
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation
Paper • 2410.14745 • Published • 47
-
RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 71 -
Understanding and Diagnosing Deep Reinforcement Learning
Paper • 2406.16979 • Published • 10 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 62 -
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
Paper • 2407.00617 • Published • 7
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 31 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 49