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For the latest publications, please refer to my 🎓 Google Scholar or 📖 Semantic Scholar profile.
*: equal contribution
2026
A Survey on Memory-Efficient Fine-Tuning for Large Language Models
Yeachan Kim*, Mingyu Lee*, and SangKeun Lee
Transactions of the Association for Computational Linguistics, 14, 960–982, 2026. https://doi.org/10.1162/TACL.a.692
2025
“Going to a trap house” conveys more fear than “Going to a mall”: Benchmarking Emotion Context Sensitivity for LLMs
Eojin Jeon*, Mingyu Lee*, Sangyun Kim, Junho Kim, Wanzee Cho, Tae-Eui Kam, and SangKeun Lee
Findings of EMNLP, 14848–14869, 2025.
Connecting the Knowledge Dots: Retrieval-Augmented Knowledge Connection for Commonsense Reasoning
Junho Kim, Soyeon Bak, Mingyu Lee, Minju Hong, Songha Kim, Tae-Eui Kam, and SangKeun Lee
Proceedings of EMNLP, 2025.
Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases
Mingyu Lee, Yeachan Kim, Wing-Lam Mok, and SangKeun Lee
Proceedings of ACL (long), 2025.
Continual Debiasing: A Bias Mitigation Framework for Natural Language Understanding Systems
Mingyu Lee, Junho Kim, Jun-Hyung Park, and SangKeun Lee
Expert Systems with Applications, 271, 126593, 2025.
2024
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
Jun-Hyung Park, Yeachan Kim, Mingyu Lee, Hyuntae Park, and SangKeun Lee
Proceedings of EMNLP (long), 2024.
Coconut: Contextualized Commonsense Unified Transformers for Graph-Based Commonsense Augmentation of Language Models
Jun-Hyung Park, Mingyu Lee, Junho Kim, and SangKeun Lee
Findings of ACL (long), 5815–5830, 2024.
2023
Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing
Yeachan Kim, Junho Kim, Jun-Hyung Park, Mingyu Lee, and SangKeun Lee
Proceedings of EMNLP (long), 2023.
Improving Bias Mitigation through Bias Experts in Natural Language Understanding
Eojin Jeon*, Mingyu Lee*, Juhyeong Park, Yeachan Kim, Wing-Lam Mok, and SangKeun Lee
Proceedings of EMNLP (long), 2023.
Multi-Stage Prompt Tuning for Political Perspective Detection in Low-Resource Settings
Kang-Min Kim*, Mingyu Lee*, Hyun-Sik Won, Min-Ji Kim, Yeachan Kim, and SangKeun Lee
Applied Sciences, 13(10), 6252, 2023.
2022
Tutoring Helps Students Learn Better: Improving Knowledge Distillation for BERT with Tutor Network
Junho Kim*, Jun-Hyung Park*, Mingyu Lee, Wing-Lam Mok, Joon-Young Choi, and SangKeun Lee
Proceedings of EMNLP (long), 2022.
Efficient Pre-Training of Masked Language Model via Concept-Based Curriculum Masking
Mingyu Lee*, Jun-Hyung Park*, Junho Kim, Kang-Min Kim, and SangKeun Lee
Proceedings of EMNLP (long), 2022.
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference
Yong-Ho Jung*, Jun-Hyung Park*, Joon-Young Choi, Mingyu Lee, Junho Kim, Kang-Min Kim, and SangKeun Lee
Findings of ACL, 1514–1523, 2022.
2021
FERNIE-ViL: Facial Expression Enhanced Vision-and-Language Model
Soo-Ryeon Lee, Dohyun Kim, Mingyu Lee, and SangKeun Lee
IEEE ICCI*CC, 2021.