Gemini Pro Defeated by GPT-4V: Evidence from Education

• URL: http://arxiv.org/abs/2401.08660v1
• Date: Wed, 27 Dec 2023 02:56:41 GMT
• Title: Gemini Pro Defeated by GPT-4V: Evidence from Education
• Authors: Gyeong-Geon Lee, Ehsan Latif, Lehong Shi, and Xiaoming Zhai
• Abstract summary: GPT-4V significantly outperforms Gemini Pro in terms of scoring accuracy and Quadratic Weighted Kappa. Findings suggest GPT-4V's superior capability in handling complex educational tasks.
• Score: 1.0226894006814744
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: This study compared the classification performance of Gemini Pro and GPT-4V in educational settings. Employing visual question answering (VQA) techniques, the study examined both models' abilities to read text-based rubrics and then automatically score student-drawn models in science education. We employed both quantitative and qualitative analyses using a dataset derived from student-drawn scientific models and employing NERIF (Notation-Enhanced Rubrics for Image Feedback) prompting methods. The findings reveal that GPT-4V significantly outperforms Gemini Pro in terms of scoring accuracy and Quadratic Weighted Kappa. The qualitative analysis reveals that the differences may be due to the models' ability to process fine-grained texts in images and overall image classification performance. Even adapting the NERIF approach by further de-sizing the input images, Gemini Pro seems not able to perform as well as GPT-4V. The findings suggest GPT-4V's superior capability in handling complex multimodal educational tasks. The study concludes that while both models represent advancements in AI, GPT-4V's higher performance makes it a more suitable tool for educational applications involving multimodal data interpretation.

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