MIT Talk 31/10 Papers
updated
NVLM: Open Frontier-Class Multimodal LLMs
Paper
• 2409.11402
• Published • 75
BRAVE: Broadening the visual encoding of vision-language models
Paper
• 2404.07204
• Published • 20
Mini-Gemini: Mining the Potential of Multi-modality Vision Language
Models
Paper
• 2403.18814
• Published • 49
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art
Multimodal Models
Paper
• 2409.17146
• Published • 123
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large
Multimodal Models
Paper
• 2407.07895
• Published • 42
General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
Paper
• 2409.01704
• Published • 82
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at
Any Resolution
Paper
• 2409.12191
• Published • 80
Unifying Multimodal Retrieval via Document Screenshot Embedding
Paper
• 2406.11251
• Published • 12
LLaVA-OneVision: Easy Visual Task Transfer
Paper
• 2408.03326
• Published • 61
ColPali: Efficient Document Retrieval with Vision Language Models
Paper
• 2407.01449
• Published • 51
Paper
• 2410.07073
• Published • 69
Building and better understanding vision-language models: insights and
future directions
Paper
• 2408.12637
• Published • 134
PaliGemma: A versatile 3B VLM for transfer
Paper
• 2407.07726
• Published • 73
Sigmoid Loss for Language Image Pre-Training
Paper
• 2303.15343
• Published • 12