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Collections including paper arxiv:2407.07895
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 22 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 10 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 33 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 19
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DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
Paper • 2407.08303 • Published • 15 -
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
Paper • 2407.07053 • Published • 34 -
PaliGemma: A versatile 3B VLM for transfer
Paper • 2407.07726 • Published • 54 -
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Paper • 2407.07895 • Published • 33
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LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Paper • 2407.07895 • Published • 33 -
SEED-Story: Multimodal Long Story Generation with Large Language Model
Paper • 2407.08683 • Published • 14 -
ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation
Paper • 2407.06135 • Published • 19 -
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
Paper • 2407.03320 • Published • 85
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VoCo-LLaMA: Towards Vision Compression with Large Language Models
Paper • 2406.12275 • Published • 29 -
TroL: Traversal of Layers for Large Language and Vision Models
Paper • 2406.12246 • Published • 34 -
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
Paper • 2406.15334 • Published • 8 -
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
Paper • 2406.12742 • Published • 14
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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 11 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 52 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 78 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 29
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Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 242 -
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 124 -
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations
Paper • 2402.07023 • Published • 4 -
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment
Paper • 2405.01481 • Published • 22
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 20 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 75 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 138 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 23
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DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 178 -
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training
Paper • 2401.00849 • Published • 14 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 40 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 40