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publications
Technical Report for ICML 2024 Automated Math Reasoning Challenge: Solving Optimization Problems with Open Source Large Language Model
Published in AI4Math @ ICML, 2024
This technical report presents an approach utilizing open-source Large Language Models for Automated Optimization Problem-solving With Code Challenge at the ICML 2024 AI4Math Workshop.
Recommended citation: Duc M. Nguyen, and Sungahn Ko. 2024. Technical Report for ICML 2024 Automated Math Reasoning Challenge: Solving Optimization Problems with Open Source Large Language Model. In AI for Math Workshop @ ICML 2024, Vienna, Austria.
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DG Comics: Semi-Automatically Authoring Graph Comics for Dynamic Graphs
Published in IEEE VIS, 2024
This paper introduces DG Comics, a novel comic authoring tool for dynamic graphs that allows users to semi-automatically build and annotate comics.
Recommended citation: Kim, J., Lee, H., Nguyen, D. M., Shin, M., Kwon, B. C., Ko, S., & Elmqvist, N. (2024). Dg comics: Semi-automatically authoring graph comics for dynamic graphs. IEEE Transactions on Visualization and Computer Graphics.
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VEHME: A Vision-Language Model For Evaluating Handwritten Mathematics Expressions
Published in EMNLP Main Conference, 2025
The paper introduces VEHME, a vision-language model for automated grading of handwritten math solutions.
Recommended citation: Thu Phuong Nguyen, Duc M. Nguyen, Hyotaek Jeon, Hyunwook Lee, Hyunmin Song, Sungahn Ko, and Taehwan Kim. 2025. VEHME: A Vision-Language Model For Evaluating Handwritten Mathematics Expressions. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 31781–31801, Suzhou, China. Association for Computational Linguistics.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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