Jun-Hyung Park

I am an assistant professor in the Division of Language & AI at Hankuk University of Foreign Studies. I have obtained my Ph.D. in Computer Science and Engineering from Korea University, advised by Prof. SangKeun Lee. I received a B.S. in Computer Science and Engineering from Korea University. 

My primary research lies in natural language processing and efficient artificial intelligence. I am particularly interested in the sustainability and truthfulness of language models, which have opened promising avenues for research including:

• Efficient Language Models: Reduction of the complexities in language models, while maintaining their performance on downstream tasks

• Augmented Language Models: Fast knowledge learning and editing of language models from symbolic resources, such as knowledge graphs, texts, and tools

• Complex Reasoning with Language Models: Compositional, commonsense, and multimodal reasoning inherent in various problems using language models.

News

• Feb 2025: Our paper is accepted in PAKDD 2025 📄

  • Handling Korean Out-of-Vocabulary Words with Phoneme Representation Learning

• Jan 2025: Our paper is accepted in ESWA 📄

  • Continual debiasing: A bias mitigation framework for natural language understanding systems

• Nov 2024: I'm attending EMNLP 2024 in Miami, USA 🇺🇸 

• Oct 2024: Our five papers are accepted in EMNLP 2024 📄

  • MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction

  • Zero-shot Commonsense Reasoning over Machine Imagination

  • MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science

  • Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction

  • SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science

• Sep 2024: I join the Division of Language & AI in Hankuk University of Foreign Studies 🏫