-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 135 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 10 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 47 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 41
Collections
Discover the best community collections!
Collections including paper arxiv:2404.03592
-
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 80 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 12 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 25 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 19
-
The Unreasonable Ineffectiveness of the Deeper Layers
Paper • 2403.17887 • Published • 75 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 101 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 72 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 58
-
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 99 -
sDPO: Don't Use Your Data All at Once
Paper • 2403.19270 • Published • 31 -
ViTAR: Vision Transformer with Any Resolution
Paper • 2403.18361 • Published • 48 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 37