SeongYeub Chu

According to our database, SeongYeub Chu authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Aspect-Aware MOOC Recommendation in a Heterogeneous Network.

SeongYeub Chu, Jongwoo Kim, Mun Yong Yi

CoRR, February, 2026

FeedEval: Pedagogically Aligned Evaluation of LLM-Generated Essay Feedback.

SeongYeub Chu, Jongwoo Kim, Mun Yong Yi

CoRR, January, 2026

2025

Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs.

SeongYeub Chu, Jong Woo Kim, Bryan Wong, Mun Yong Yi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

A Novel Evaluation Framework for 15-Minute City Using Satellite Imagery.

Chanjae Song, SeongYeub Chu, Jongwoo Kim, Mun Yong Yi

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing.

Jongwoo Kim, SeongYeub Chu, Bryan Wong, Mun Yong Yi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning.

Jongwoo Kim, SeongYeub Chu, Hyeongmin Park, Bryan Wong, Keejun Han, Mun Yong Yi

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Think Together and Work Better: Combining Humans' and LLMs' Think-Aloud Outcomes for Effective Text Evaluation.

SeongYeub Chu, Jong Woo Kim, Mun Yong Yi

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

Beyond Right and Wrong: Mitigating Cold Start in Knowledge Tracing Using Large Language Model and Option Weight.

Jongwoo Kim, SeongYeub Chu, Bryan Wong, Mun Yong Yi

CoRR, 2024

Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning.

Jongwoo Kim, SeongYeub Chu, Hyeongmin Park, Bryan Wong, Mun Yong Yi

CoRR, 2024