This repository curates frameworks, libraries, and software for large language models.
BradyFU/Awesome-Multimodal-Large-Language-Models
This repository curates research and resources about multimodal large language models.
About BradyFU/Awesome-Multimodal-Large-Language-Models
This GitHub repository collects research and resources about multimodal large language models, which are language models that work with inputs beyond text, such as images. Its page describes it as a list of the latest advances in the field, and it is tagged with the topics of visual instruction tuning, multimodal in-context learning, and multimodal chain-of-thought.
The homepage excerpt lists topics but does not describe the individual entries, how they are selected, or how often the list is updated. Pricing is unknown.
Key features
- Curated research and resources on multimodal large language models
- Coverage of visual instruction tuning and multimodal instruction tuning
- Coverage of multimodal in-context learning
- Coverage of multimodal chain-of-thought reasoning
- Coverage of large vision-language models
Best for: Researchers and practitioners who want an organized starting point for recent work on multimodal large language models.
Good for
- Groups the material under specific research topics, such as visual instruction tuning and multimodal in-context learning.
BradyFU/Awesome-Multimodal-Large-Language-Models at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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