Publications
Publications.
Every LILAB paper from 2024 onward, searchable by year, topic, title, author, or venue.
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2024—2026
Can LLMs Imagine Moral Alternatives Beyond Binary Dilemmas?
Jongchan Choi, Nari Yang, Sung Soo Park, Jaemin Cho, Han Seoyoung, Haerin Shin, Jun-Hyung Park
Findings of EMNLP 2026CIRF: Tokenizing Chain-of-Thoughts into Reusable Functional Units for Efficient Latent Reasoning in Large Language Models
Yukyung Lee, Yumeng Shen, Jinhyeong Park, Hyein Yang, Jun-Hyung Park
arXiv preprintIncorporating Domain Knowledge into Materials Tokenization
Yerim Oh, Jun-Hyung Park, Junho Kim, SungHo Kim, SangKeun Lee
ACL 2025 · SAC HighlightHandling Korean Out-of-Vocabulary Words with Phoneme Representation Learning
Nayeon Kim, Eojin Jeon, Jun-Hyung Park, SangKeun Lee
PAKDD 2025Continual Debiasing: A Bias Mitigation Framework for Natural Language Understanding Systems
Mingyu Lee, Junho Kim, Jun-Hyung Park, SangKeun Lee
Expert Systems with ApplicationsMolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
Jun-Hyung Park, Yeachan Kim, Mingyu Lee, Hyuntae Park, SangKeun Lee
EMNLP 2024Zero-shot Commonsense Reasoning over Machine Imagination
Hyuntae Park, Yeachan Kim, Jun-Hyung Park, SangKeun Lee
Findings of EMNLP 2024MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science
Junho Kim, Yeachan Kim, Jun-Hyung Park, Yerim Oh, Suho Kim, SangKeun Lee
Findings of EMNLP 2024Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction
Jun-Hyung Park, Hyuntae Park, Yeachan Kim, Woosang Lim, SangKeun Lee
EMNLP Industry 2024SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science
Yeachan Kim, Jun-Hyung Park, SungHo Kim, Juhyeong Park, Sangyun Kim, SangKeun Lee
EMNLP Industry 2024