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Improved Baselines with Visual Instruction Tuning
Paper β’ 2310.03744 β’ Published β’ 39 -
DeepSeek-VL: Towards Real-World Vision-Language Understanding
Paper β’ 2403.05525 β’ Published β’ 50 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper β’ 2308.12966 β’ Published β’ 12 -
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
Paper β’ 2404.01331 β’ Published β’ 28
Collections
Discover the best community collections!
Collections including paper arxiv:2308.12966
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Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper β’ 2310.16045 β’ Published β’ 17 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper β’ 2310.13355 β’ Published β’ 9 -
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning
Paper β’ 2311.07574 β’ Published β’ 16 -
MyVLM: Personalizing VLMs for User-Specific Queries
Paper β’ 2403.14599 β’ Published β’ 17
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Visual Instruction Tuning
Paper β’ 2304.08485 β’ Published β’ 21 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper β’ 2308.12966 β’ Published β’ 12 -
Improved Baselines with Visual Instruction Tuning
Paper β’ 2310.03744 β’ Published β’ 39 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper β’ 2310.13355 β’ Published β’ 9
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Qwen Technical Report
Paper β’ 2309.16609 β’ Published β’ 39 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper β’ 2308.12966 β’ Published β’ 12 -
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Paper β’ 2311.07919 β’ Published β’ 9 -
Audio Dialogues: Dialogues dataset for audio and music understanding
Paper β’ 2404.07616 β’ Published β’ 15
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Beyond Language Models: Byte Models are Digital World Simulators
Paper β’ 2402.19155 β’ Published β’ 53 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper β’ 2402.19427 β’ Published β’ 57 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper β’ 2403.00522 β’ Published β’ 46 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper β’ 2403.00071 β’ Published β’ 24
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Improved Baselines with Visual Instruction Tuning
Paper β’ 2310.03744 β’ Published β’ 39 -
DeepSeek-VL: Towards Real-World Vision-Language Understanding
Paper β’ 2403.05525 β’ Published β’ 50 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper β’ 2308.12966 β’ Published β’ 12 -
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
Paper β’ 2404.01331 β’ Published β’ 28
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Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
Paper β’ 2309.15915 β’ Published β’ 2 -
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants
Paper β’ 2310.00653 β’ Published β’ 3 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper β’ 2308.12966 β’ Published β’ 12 -
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper β’ 2309.09958 β’ Published β’ 20
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TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper β’ 2402.14289 β’ Published β’ 21 -
ImageBind: One Embedding Space To Bind Them All
Paper β’ 2305.05665 β’ Published β’ 7 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper β’ 2401.00908 β’ Published β’ 192 -
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts
Paper β’ 2206.02770 β’ Published β’ 4
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DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Paper β’ 2402.10379 β’ Published β’ 31 -
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Paper β’ 1709.07857 β’ Published β’ 2 -
Simple synthetic data reduces sycophancy in large language models
Paper β’ 2308.03958 β’ Published β’ 23 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper β’ 2308.12966 β’ Published β’ 12
-
Improved Baselines with Visual Instruction Tuning
Paper β’ 2310.03744 β’ Published β’ 39 -
DeepSeek-VL: Towards Real-World Vision-Language Understanding
Paper β’ 2403.05525 β’ Published β’ 50 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper β’ 2308.12966 β’ Published β’ 12 -
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
Paper β’ 2404.01331 β’ Published β’ 28
-
Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper β’ 2310.16045 β’ Published β’ 17 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper β’ 2310.13355 β’ Published β’ 9 -
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning
Paper β’ 2311.07574 β’ Published β’ 16 -
MyVLM: Personalizing VLMs for User-Specific Queries
Paper β’ 2403.14599 β’ Published β’ 17
-
Improved Baselines with Visual Instruction Tuning
Paper β’ 2310.03744 β’ Published β’ 39 -
DeepSeek-VL: Towards Real-World Vision-Language Understanding
Paper β’ 2403.05525 β’ Published β’ 50 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper β’ 2308.12966 β’ Published β’ 12 -
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
Paper β’ 2404.01331 β’ Published β’ 28
-
Visual Instruction Tuning
Paper β’ 2304.08485 β’ Published β’ 21 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper β’ 2308.12966 β’ Published β’ 12 -
Improved Baselines with Visual Instruction Tuning
Paper β’ 2310.03744 β’ Published β’ 39 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper β’ 2310.13355 β’ Published β’ 9
-
Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
Paper β’ 2309.15915 β’ Published β’ 2 -
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants
Paper β’ 2310.00653 β’ Published β’ 3 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper β’ 2308.12966 β’ Published β’ 12 -
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper β’ 2309.09958 β’ Published β’ 20
-
Qwen Technical Report
Paper β’ 2309.16609 β’ Published β’ 39 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper β’ 2308.12966 β’ Published β’ 12 -
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Paper β’ 2311.07919 β’ Published β’ 9 -
Audio Dialogues: Dialogues dataset for audio and music understanding
Paper β’ 2404.07616 β’ Published β’ 15
-
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper β’ 2402.14289 β’ Published β’ 21 -
ImageBind: One Embedding Space To Bind Them All
Paper β’ 2305.05665 β’ Published β’ 7 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper β’ 2401.00908 β’ Published β’ 192 -
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts
Paper β’ 2206.02770 β’ Published β’ 4
-
Beyond Language Models: Byte Models are Digital World Simulators
Paper β’ 2402.19155 β’ Published β’ 53 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper β’ 2402.19427 β’ Published β’ 57 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper β’ 2403.00522 β’ Published β’ 46 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper β’ 2403.00071 β’ Published β’ 24
-
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Paper β’ 2402.10379 β’ Published β’ 31 -
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Paper β’ 1709.07857 β’ Published β’ 2 -
Simple synthetic data reduces sycophancy in large language models
Paper β’ 2308.03958 β’ Published β’ 23 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper β’ 2308.12966 β’ Published β’ 12