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Collections including paper arxiv:2308.12966

Multimodal Papers

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 14
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 6
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Paper • 2311.07574 • Published Nov 13, 2023 • 14
MyVLM: Personalizing VLMs for User-Specific Queries

Paper • 2403.14599 • Published Mar 21 • 15

Vision Language Models Papers 🖼️💬📝

Papers about vision-language models, most important ones are on top of the list.

Improved Baselines with Visual Instruction Tuning

Paper • 2310.03744 • Published Oct 5, 2023 • 37
DeepSeek-VL: Towards Real-World Vision-Language Understanding

Paper • 2403.05525 • Published Mar 8 • 39
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 6
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Paper • 2404.01331 • Published Mar 29 • 25

Vision-Language Model

Visual Instruction Tuning

Paper • 2304.08485 • Published Apr 17, 2023 • 13
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 6
Improved Baselines with Visual Instruction Tuning

Paper • 2310.03744 • Published Oct 5, 2023 • 37
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 6

Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts

Paper • 2309.15915 • Published Sep 27, 2023 • 2
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants

Paper • 2310.00653 • Published Oct 1, 2023 • 3
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 6
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models

Paper • 2309.09958 • Published Sep 18, 2023 • 18

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 34
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 6
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Paper • 2311.07919 • Published Nov 14, 2023 • 9
Runtime error

193

📷🎨👀

Qwen-VL-Plus

Papers - Multimodal

TinyLLaVA: A Framework of Small-scale Large Multimodal Models

Paper • 2402.14289 • Published Feb 22 • 19
ImageBind: One Embedding Space To Bind Them All

Paper • 2305.05665 • Published May 9, 2023 • 3
DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 180
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts

Paper • 2206.02770 • Published Jun 6, 2022 • 3

MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer

Paper • 2401.10208 • Published Jan 18 • 1
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

Paper • 2305.11172 • Published May 18, 2023 • 1
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Paper • 2302.00402 • Published Feb 1, 2023
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 6

Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29 • 49
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 52
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks

Paper • 2403.00522 • Published Mar 1 • 44
Resonance RoPE: Improving Context Length Generalization of Large Language Models

Paper • 2403.00071 • Published Feb 29 • 22

Papers - Synthetic Data

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Paper • 2402.10379 • Published Feb 16 • 29
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

Paper • 1709.07857 • Published Sep 22, 2017 • 2
Simple synthetic data reduces sycophancy in large language models

Paper • 2308.03958 • Published Aug 7, 2023 • 21
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 6

Multimodal Papers

From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Paper • 2401.01885 • Published Jan 3 • 27
Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance

Paper • 2401.15687 • Published Jan 28 • 21
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

Paper • 2312.17172 • Published Dec 28, 2023 • 26
MouSi: Poly-Visual-Expert Vision-Language Models

Paper • 2401.17221 • Published Jan 30 • 7

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