JuntaoTang/TriGap

TriGap: Multimodal Continual Instruction Tuning Benchmark TriGap is a challenging benchmark designed for Multimodal Large Language Models (MLLMs) in the context of Continual Instruction Tuning. It comprises instruction data derived from 10 diverse VQA datasets, covering domains such as medical imaging, scientific documents, autonomous driving, and abstract reasoning. 📚 Citation If you use this benchmark in your research, please cite the following works:… See the full description on the dataset page: https://huggingface.co/datasets/JuntaoTang/TriGap.

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