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Collections including paper arxiv:2409.17692

about 18 hours ago

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 54
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning

Paper • 2409.20566 • Published Sep 30, 2024 • 57

Multimodal Foundation

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 54

Transformer-based Models for Computer Vision

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 54
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 11
Going deeper with Image Transformers

Paper • 2103.17239 • Published Mar 31, 2021
Training data-efficient image transformers & distillation through attention

Paper • 2012.12877 • Published Dec 23, 2020 • 2

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

Paper • 2408.10188 • Published Aug 19, 2024 • 53
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 101
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 132
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 52

Paper - Multimodal

Paper related to Multimodal Model - Research for a : Modular, Multimodal, Multi-Stream, Mixture of Expert, Universal Transformer, Matryoshka embedding

Flowing from Words to Pixels: A Framework for Cross-Modality Evolution

Paper • 2412.15213 • Published Dec 19, 2024 • 29
No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published Dec 16, 2024 • 44
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Paper • 2412.13663 • Published Dec 18, 2024 • 154
Autoregressive Video Generation without Vector Quantization

Paper • 2412.14169 • Published Dec 18, 2024 • 14

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

Paper • 2410.16153 • Published Oct 21, 2024 • 45
AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published Oct 21, 2024 • 60
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Paper • 2410.12787 • Published Oct 16, 2024 • 32
LEOPARD : A Vision Language Model For Text-Rich Multi-Image Tasks

Paper • 2410.01744 • Published Oct 2, 2024 • 26

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 54

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 54
Emu3: Next-Token Prediction is All You Need

Paper • 2409.18869 • Published Sep 27, 2024 • 96

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

Paper • 2408.01050 • Published Aug 2, 2024 • 9
POA: Pre-training Once for Models of All Sizes

Paper • 2408.01031 • Published Aug 2, 2024 • 29
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion

Paper • 2408.00458 • Published Aug 1, 2024 • 13
MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 54

about 18 hours ago

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Paper - Multimodal

Paper related to Multimodal Model - Research for a : Modular, Multimodal, Multi-Stream, Mixture of Expert, Universal Transformer, Matryoshka embedding

Flowing from Words to Pixels: A Framework for Cross-Modality Evolution

Paper • 2412.15213 • Published Dec 19, 2024 • 29
No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published Dec 16, 2024 • 44
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Paper • 2412.13663 • Published Dec 18, 2024 • 154
Autoregressive Video Generation without Vector Quantization

Paper • 2412.14169 • Published Dec 18, 2024 • 14

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 54
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning

Paper • 2409.20566 • Published Sep 30, 2024 • 57

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

Paper • 2410.16153 • Published Oct 21, 2024 • 45
AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published Oct 21, 2024 • 60
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Paper • 2410.12787 • Published Oct 16, 2024 • 32
LEOPARD : A Vision Language Model For Text-Rich Multi-Image Tasks

Paper • 2410.01744 • Published Oct 2, 2024 • 26

Multimodal Foundation

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 54

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 54

Transformer-based Models for Computer Vision

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 54
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 11
Going deeper with Image Transformers

Paper • 2103.17239 • Published Mar 31, 2021
Training data-efficient image transformers & distillation through attention

Paper • 2012.12877 • Published Dec 23, 2020 • 2

MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 54
Emu3: Next-Token Prediction is All You Need

Paper • 2409.18869 • Published Sep 27, 2024 • 96

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

Paper • 2408.10188 • Published Aug 19, 2024 • 53
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 101
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 132
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 52

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

Paper • 2408.01050 • Published Aug 2, 2024 • 9
POA: Pre-training Once for Models of All Sizes

Paper • 2408.01031 • Published Aug 2, 2024 • 29
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion

Paper • 2408.00458 • Published Aug 1, 2024 • 13
MIO: A Foundation Model on Multimodal Tokens

Paper • 2409.17692 • Published Sep 26, 2024 • 54

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