Textbooks Are All You Need
Paper
•
2306.11644
•
Published
•
142
Small Multimodal Models
-
-
LLaVA-φ: Efficient Multi-Modal Assistant with Small Language Model
Paper • 2401.02330 • Published • 14 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 87 -
Visual Instruction Tuning
Paper • 2304.08485 • Published • 13 -
Improved Baselines with Visual Instruction Tuning
Paper • 2310.03744 • Published • 37 -
CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models
Paper • 2311.11567 • Published • 8 -
Towards Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs
Paper • 2311.15759 • Published • 1 -
Unlock the Power: Competitive Distillation for Multi-Modal Large Language Models
Paper • 2311.08213 • Published -
Generative Multimodal Models are In-Context Learners
Paper • 2312.13286 • Published • 34 -
InfMLLM: A Unified Framework for Visual-Language Tasks
Paper • 2311.06791 • Published • 3 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 44 -
Efficient Multimodal Learning from Data-centric Perspective
Paper • 2402.11530 • Published • 1 -
Multi-modal preference alignment remedies regression of visual instruction tuning on language model
Paper • 2402.10884 • Published -
LLaMA Pro: Progressive LLaMA with Block Expansion
Paper • 2401.02415 • Published • 53 -
MobileVLM : A Fast, Reproducible and Strong Vision Language Assistant for Mobile Devices
Paper • 2312.16886 • Published • 19 -
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
Paper • 2402.03766 • Published • 12 -
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT
Paper • 2402.16840 • Published • 23 -
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper • 2402.14289 • Published • 19 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 126