Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
Download Paper | Download Slides | Download Bibtex
Disaster Detection Using Text Anomaly Detection in SNS
Published in Korea Next Generation Computing Conference (KINGPC), 2022
A text anomaly detection approach for identifying disaster-related events from social media posts, enabling early warning and rapid response systems.
Recommended citation: Byounghan Lee, Kyung-Ah Sohn. (2022). "Disaster Detection Using Text Anomaly Detection in SNS." Korea Next Generation Computing Conference (KINGPC), South Korea.
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection
Published in International Conference on Computational Linguistics (COLING), 2022
An explainable AI approach for hate speech detection using masked rationale prediction to improve both bias mitigation and model interpretability.
Recommended citation: Jiyun Kim, Byounghan Lee, Kyung-Ah Sohn. (2022). "Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection." Proceedings of the 29th International Conference on Computational Linguistics (COLING), pages 6644–6655.
Download Paper
Improving Unsupervised Out-of-domain Detection through Pseudo Labeling and Learning
Published in Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
A novel two-stage framework for unsupervised out-of-domain detection that significantly outperforms baseline models through strategic pseudo labeling approaches.
Recommended citation: Byounghan Lee, Jaesik Kim, Junekyu Park, Kyung-Ah Sohn. (2023). "Improving Unsupervised Out-of-domain Detection through Pseudo Labeling and Learning." Findings of the Association for Computational Linguistics: EACL 2023, pages 1031–1041.
Download Paper
Korean Hate Speech Detection Using Hate-Rationale Word Prediction
Published in Korea Software Congress (KSC2023), 2023
A novel approach for Korean hate speech detection that improves performance by predicting hate-rationale words that contribute to hateful expressions.
Recommended citation: Yunseo Choi, Byounghan Lee, Kyung-Ah Sohn. (2023). "Korean Hate Speech Detection Using Hate-Rationale Word Prediction." Korea Software Congress (KSC2023), Busan, South Korea.
Efficient Privacy-Preserving Chatbot Learning through Prefix-Learning Based Federated Learning
Published in Conference on Information Security and Cryptography-Winter (CISC-W 2023), 2023
A novel federated learning approach for privacy-preserving chatbot training using prefix-learning techniques to reduce communication costs while maintaining performance.
Recommended citation: Kyungju Choi, Byounghan Lee, Kyung-Ah Sohn. (2023). "Efficient Privacy-Preserving Chatbot Learning through Prefix-Learning Based Federated Learning." Conference on Information Security and Cryptography-Winter (CISC-W 2023), Seoul, South Korea.
Counter Narrative Generation through Knowledge-Injected Prompt Learning
Published in Korea Software Congress (KSC2024), 2024
A novel approach to generate effective counter-narratives against hate speech using knowledge-injected prompt learning techniques.
Recommended citation: Hyeonwoo Jung, Byounghan Lee, Kyung-Ah Sohn. (2024). "Counter Narrative Generation through Knowledge-Injected Prompt Learning." Korea Software Congress (KSC2024), Yeosu, South Korea.
Evaluation of Multi-Agent LLMs in Multidisciplinary Team Decision-Making for Challenging Cancer Cases
Published in Machine Learning for Healthcare (MLHC), 2025
This paper evaluates the effectiveness of multi-agent large language models in collaborative medical decision-making for complex cancer cases, investigating how AI agents can simulate multidisciplinary team dynamics.
Recommended citation: Jaesik Kim*, Byounghan Lee*, Kyung-Ah Sohn, Dokyoon Kim, Young Chan Lee. (2025). "Evaluation of Multi-Agent LLMs in Multidisciplinary Team Decision-Making for Challenging Cancer Cases." Machine Learning for Healthcare (MLHC).
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.