Yeo Jin Kim

According to our database, Yeo Jin Kim authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LLM-Based Student Plan Generation for Adaptive Scaffolding in Game-Based Learning Environments.

Alex Goslen, Yeo Jin Kim, Jonathan P. Rowe, James C. Lester

Int. J. Artif. Intell. Educ., June, 2025

Collaborative Problem-Solving Dialogue Analysis with Interpretable Temporal Clustering.

Yeo Jin Kim, Daeun Hong, Wookhee Min, Snigdha Chaturvedi, Cindy E. Hmelo-Silver, James C. Lester

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Dual Process Masking for Dialogue Act Recognition.

Yeo Jin Kim, Halim Acosta, Wookhee Min, Jonathan P. Rowe, Bradford W. Mott, Snigdha Chaturvedi, James C. Lester

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments.

Fahmid Morshed Fahid, Jonathan P. Rowe, Yeo Jin Kim, Shashank Srivastava, James C. Lester

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Time-aware deep reinforcement learning with multi-temporal abstraction.

Yeo Jin Kim, Min Chi

Appl. Intell., September, 2023

Language Model-Based Player Goal Recognition in Open World Digital Games.

Yeo Jin Kim, Alex Goslen, Jonathan P. Rowe, Bradford W. Mott, James C. Lester

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023

Language Modeling for Plan Generation in Game-Base Learning Environments.

Alex Goslen, Yeo Jin Kim, Jonathan P. Rowe, James C. Lester

Proceedings of the Workshop on Empowering Education with LLMs, 2023

2021

Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention.

Yeo Jin Kim, Markel Sanz Ausin, Min Chi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning.

Song Ju, Yeo Jin Kim, Markel Sanz Ausin, Maria E. Mayorga, Min Chi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Automatic, Qualitative Scoring of the Interlocking Pentagon Drawing Test (PDT) Based on U-Net and Mobile Sensor Data.

In Gyu Park, Yun Joong Kim, Yeo Jin Kim, Unjoo Lee

Sensors, 2020