What it does
Multimodal large language models are AI models that can work with more than one kind of input, such as text, pictures, video and audio. This list collects research papers and datasets on the subject.
It is organised by topic, such as training, hallucination (when AI makes things up), reasoning and evaluation. The research group behind it also lists its own surveys and benchmarks for testing these models.
Who it's for
Researchers and students following progress in multimodal AI.
Can I use it without coding?
Yes. It is a web page of links. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Runs on
- Web browser
- Computer
- An ordinary computer is fine
- API key
- Not needed
Try it
- Open the list on GitHub and browse the sections that interest you.
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- No standard license listed. Check the GitHub page before using it for business.
- More on staying safe
Where people are talking about it
- MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMsResearch paper · Nov 2024
- A Survey on Multimodal Large Language ModelsResearch paper · Jun 2023