Can VLM Understand Children’s Handwriting? An Analysis on Handwritten Mathematical Equation Recognition
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64315-6_28
Reference21 articles.
1. Arya, M., Yadav, P., Gupta, N.: Handwritten equation solver using convolutional neural network. In: Intelligent Systems and Applications in Computer Vision, pp. 72–85. CRC Press (2023)
2. Baidoo-Anu, D., Ansah, L.O.: Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. J. AI 7(1), 52–62 (2023)
3. Chen, D., et al.: Mllm-as-a-judge: assessing multimodal llm-as-a-judge with vision-language benchmark. arXiv preprint arXiv:2402.04788 (2024)
4. Chevtchenko, S., et al.: Algoritmos de reconhecimento de dígitos para integração de equações manuscritas em sistemas tutores inteligentes. In: Anais do XXXIV Simpósio Brasileiro de Informática na Educação, pp. 1442–1453. SBC (2023)
5. Feichter, C., Schlippe, T.: Investigating models for the transcription of mathematical formulas in images. Appl. Sci. 14(3), 1140 (2024)
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