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Collections including paper arxiv:2409.17692

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26 • 49
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning

Paper • 2409.20566 • Published Sep 30 • 51

Multimodal Foundation

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26 • 49

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26 • 49

Foundation Models

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26 • 49

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26 • 49
Emu3: Next-Token Prediction is All You Need

Paper • 2409.18869 • Published Sep 27 • 87

Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection

Paper • 2409.08513 • Published Sep 13 • 10
Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale

Paper • 2409.08264 • Published Sep 12 • 43
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Paper • 2409.12191 • Published Sep 18 • 73
LLMs + Persona-Plug = Personalized LLMs

Paper • 2409.11901 • Published Sep 18 • 30

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Paper • 2408.10188 • Published Aug 19 • 51
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16 • 97
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 115
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22 • 50

The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines

Paper • 2408.01050 • Published Aug 2 • 8
POA: Pre-training Once for Models of All Sizes

Paper • 2408.01031 • Published Aug 2 • 26
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion

Paper • 2408.00458 • Published Aug 1 • 10
MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26 • 49

General Multimodal Learning

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities

Paper • 2401.14405 • Published Jan 25 • 11
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Paper • 2406.18521 • Published Jun 26 • 25
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations

Paper • 2408.12590 • Published Aug 22 • 33
Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92

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