Summary of Medvh: Towards Systematic Evaluation Of Hallucination For Large Vision Language Models in the Medical Context, by Zishan Gu et al.
MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context
by Zishan Gu, Changchang Yin, Fenglin Liu, Ping Zhang
First submitted to arxiv on: 3 Jul 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research paper investigates the robustness of Large Vision Language Models (LVLMs) against hallucination when fine-tuned on smaller datasets. Specifically, it introduces a new benchmark dataset, Medical Visual Hallucination Test (MedVH), to evaluate the hallucination of domain-specific LVLMs in medical contexts. The MedVH comprises five tasks that assess comprehensive understanding of textual and visual input, as well as long textual response generation. The study finds that although medical LVLMs excel on standard medical tasks, they are more prone to hallucinations than general models, highlighting the need for reliable reasoning abilities in real-world applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at special AI models called Large Vision Language Models (LVLMs). These models are good at understanding and generating text and images. But researchers have found that these models can be tricked into making up things they haven’t learned, which is called hallucination. The study makes a new test to see how well these models do in this area, specifically for medical uses. They find that even though the medical models are good at some tasks, they make mistakes more often than regular models. This means we need to be careful and make sure these models are really reliable before using them. |
Keywords
» Artificial intelligence » Hallucination
