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Sungahn Ko

3 accepted papers

2025

VEHME: A Vision-Language Model For Evaluating Handwritten Mathematics Expressions

EMNLP 2025

Automatically assessing handwritten mathematical solutions is an important problem in educational technology with practical applications, but remains a significant challenge due to the diverse formats, unstructured layouts, and symbolic complexity of student work. To address this challenge, we intro

Cited by 0SourcePDFScholar
2024

TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts

ICLR 2024poster

Accurate traffic forecasting is challenging due to the complex dependency on road networks, various types of roads, and the abrupt speed change due to the events. Recent works mainly focus on dynamic spatial modeling with adaptive graph embedding or graph attention having less consideration for temp…

2022

Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting

ICLR 2022poster

Traffic forecasting is a challenging problem due to complex road networks and sudden speed changes caused by various events on roads. Several models have been proposed to solve this challenging problem, with a focus on learning the spatio-temporal dependencies of roads. In this work, we propose a ne…