GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation
Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng
Abstract
Large language models have seen widespread adoption in math problem-solving, yet for geometry problems, which often necessitate visual aids even for humans, the most advanced multi-modal models still struggle to effectively utilize image information. High-quality data is crucial for enhancing the geometric capabilities of multi-modal models, yet existing open-source datasets and related efforts are either too challenging for direct model learning or suffer from misalignment between text and images. To overcome this issue, we introduce a novel pipeline that leverages GPT-4 and GPT-4V to generate relatively basic geometry problems with aligned text and images, facilitating model learning. We have produced a dataset of 4.9K geometry problems and combined it with 19K open-source data to form our GeoGPT4V dataset. Experimental results demonstrate that the GeoGPT4V dataset significantly improves the geometry performance of various models on the MathVista and MathVision benchmarks. The code is available at https://anonymous.4open.science/r/GeoGPT4V-08B2.- Anthology ID:
- 2024.emnlp-main.44
- Volume:
- Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 750–766
- Language:
- URL:
- https://aclanthology.org/2024.emnlp-main.44
- DOI:
- 10.18653/v1/2024.emnlp-main.44
- Cite (ACL):
- Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, and Bo Zheng. 2024. GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 750–766, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation (Cai et al., EMNLP 2024)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/2024.emnlp-main.44.pdf