Capabilities of GPT-5 on Multimodal Medical Reasoning

Scaling Language-Free Visual Representation Learning

Multimodal Large Language Models: A Survey

MMaDA: Multimodal Large Diffusion Language Models

UniVG-R1: Reasoning Guided Universal Visual Grounding with...

AMIE gains vision: A research AI agent for multimodal diagnostic dialogue

Data-Efficient Multimodal Fusion on a Single GPU

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Guiding Instruction-based Image Editing via Multimodal Large Language Models

Ferret: Refer and Ground Anything Anywhere at Any Granularity

NExT-GPT: Any-to-Any Multimodal LLM

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning | Meta AI Research

A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics

Gong, Y., Rouditchenko, A., Liu, A. H., Harwath, D., Karlinsky, L., Kuehne, H., & Glass, J. (2022). Contrastive audio-visual masked autoencoder. arXiv preprint arXiv:2210.07839.

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace

Stable Bias: Analyzing Societal Representations in Diffusion Models

ViperGPT: Visual Inference via Python Execution for Reasoning

Erasing Concepts from Diffusion Models

ChatGPT is on the horizon: Could a large language model be all we need for Intelligent Transportation?