✨✨Latest Advances on Multimodal Large Language Models
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Updated
Sep 25, 2024
✨✨Latest Advances on Multimodal Large Language Models
The Paper List of Large Multi-Modality Model, Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Insight.
[NeurIPS 2024 D&B Track] An official implementation of ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
Curated papers on Large Language Models in Healthcare and Medical domain
🔥🔥🔥 A curated list of papers on LLMs-based multimodal generation (image, video, 3D and audio).
A curated list of recent and past chart understanding work based on our survey paper: From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models.
✨✨Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Talk2BEV: Language-Enhanced Bird's Eye View Maps (Accepted to ICRA'24)
[CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
[ECCV 2024] ShareGPT4V: Improving Large Multi-modal Models with Better Captions
An benchmark for evaluating the capabilities of large vision-language models (LVLMs)
[NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"
This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strategy.
Awesome Mixture of Experts (MoE): A Curated List of Mixture of Experts (MoE) and Mixture of Multimodal Experts (MoME)
[ECCV 2024] API: Attention Prompting on Image for Large Vision-Language Models
Official Repository of Multi-Object Hallucination in Vision-Language Models
Gemini Pro, your do-it-all AI tool, translates languages, sparks creativity, and answers questions, all while efficiently running on devices from phones to data centers, making it accessible for developers and businesses to unlock AI's potential.
[CVPR 2024 CVinW] Multi-Agent VQA: Exploring Multi-Agent Foundation Models on Zero-Shot Visual Question Answering
Awesome Large Vision-Language Model: A Curated List of Large Vision-Language Model
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