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Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 83 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 15 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 24 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2404.03592
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The Unreasonable Ineffectiveness of the Deeper Layers
Paper • 2403.17887 • Published • 77 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 104 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 89 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 60
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Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 103 -
sDPO: Don't Use Your Data All at Once
Paper • 2403.19270 • Published • 38 -
ViTAR: Vision Transformer with Any Resolution
Paper • 2403.18361 • Published • 51 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 44
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BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text
Paper • 2403.18421 • Published • 21 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 23 -
stanford-crfm/BioMedLM
Text Generation • Updated • 1.9k • 394 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 45