Jaewook Lee

Orcid: 0009-0007-1179-4730

Affiliations:
  • University of Massachusetts Amherst, MA, USA


According to our database1, Jaewook Lee authored at least 18 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Who Am I? History-Aware Profiles for Student Simulation in Tutoring Dialogues.
CoRR, May, 2026

Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialogues.
CoRR, May, 2026

Letting Tutor Personas "Speak Up" for LLMs: Learning Steering Vectors from Dialogue via Preference Optimization.
CoRR, February, 2026

Personalizing Kanji Memorization: Designing Adaptive Mnemonics Based on Learner Preferences Using Large Language Models.
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

Simulated Students in Tutoring Dialogues: Substance or Illusion?
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

PhoniTale: Phonologically Grounded Mnemonic Generation for Typologically Distant Language Pairs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Training LLM-Based Tutors to Improve Student Learning Outcomes in Dialogues.
Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics.
Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024
Optimal Model Partitioning with Low-Overhead Profiling on the PIM-based Platform for Deep Learning Inference.
ACM Trans. Design Autom. Electr. Syst., March, 2024

Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions?
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Math Multiple Choice Question Generation via Human-Large Language Model Collaboration.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023
Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning.
CoRR, 2023

A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022
Extending the ONNX Runtime Framework for the Processing-in-Memory Execution.
Proceedings of the International Conference on Electronics, Information, and Communication, 2022


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