Multi-modal large language models (MLLMs) are primarily evaluated on objective measures such as reasoning, common sense and pattern recognition. However, there is a notable lack of testing involving o

DataCite Commons2024-03-14 更新90

ProactiveBench

多语言大语言模型

基准测试

ProactiveBench是一个基准测试，用于测试多模态大语言模型在不同任务中的主动性，例如识别遮挡物体、提高图像质量和解释粗略草图。该基准测试由七个重新调整用途的数据集构建而成，旨在作为构建主动多模态模型的第一步。

github2026-03-23 更新200

Research on the application of LLaVA model based on Q-LoRA fine-tuning in medical teaching

医学教育

多语言大语言模型

The Augmented Reality Large Language Model Medical Teaching System integrates Augmented Reality with LLaVA-Med, a medical multimodal large language model based on LLaVA and specifically designed for b

DataCite Commons2025-10-05 更新140

Evaluations

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