Research Interests

• Summarization

• Text classification

• Sentiment analysis

• Neural Ranking

Work Experiences

• Assistant Professor, Department of Artificial Intelligence, CNU  (2023.09~present)

• Applied Research Scientist, Search cic, NAVER (2022.06~2023.08, full-time)

  • GPT3-based GenerativeAI

  • Neural Ranking Model

• National Assembly of the Republic of Korea (2016.06~2016.08, intern)

Educations

• Ph.D. in Information and Communications Engineering, Tokyo Institute of Technology, 2023.03 (Advisor: Manabu Okumura)

• M.E. in Information and Communications Engineering, Tokyo Institute of Technology, 2020.03 (Advisor: Manabu Okumura)

• B.S. in Statistics, University of California, Los Angeles (UCLA), 2018.03

Publications (* indicates corresponding author, underline indicates CNU student)

International Conferences 

• NER (Long paper, under reviewing)

• Length Representations (Long paper, under reviewing)

• Deep Fake Image Detection (Long paper, under reviewing)

• MBA deofuscation (Short paper, under reviewing)

• Image Generation (Long paper, under reviewing)

• Faithful Generation (Short paper)

• Multimodal Generation (Short paper)

• Naive Transformer (Long paper)

• Watermarking (Long paper)

• Considering Length Diversity in Retrieval-Augmented Summarization

Juseon Do, Jaesung Hwang, Jingun Kwon*, Hidetaka Kamigaito, Manabu Okumura

Findings of the Nations of the Americas Chapter of the Association for Computational Linguistics: NAACL2025 (Short paper)

• InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models

Juseon Do, Jingun Kwon*, Hidetaka Kamigaito, Manabu Okumura

Findings of the Association for Computational Linguistics: ACL 2024 (Long paper)

Before CNU (~2023.09)

• Abstractive Document Summarization with Summary-length Prediction

Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura

Findings of the Association for Computational Linguistics: EACL 2023

• Hierarchical Label Generation for Text Classification

Jingun Kwon, Hidetaka Kamigaito, Young-In Song, Manabu Okumura

Findings of the Association for Computational Linguistics: EACL 2023

• Considering Nested Tree Structure in Sentence Extractive Summarization with Pre-trained Transformer

Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito, Manabu Okumura

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021

• Making your Tweets more Fancy: Emoji Insertion to Texts

Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP), 2021

• A New Surprise Measure for Extracting Interesting Relationships between Persons

Hidetaka Kamigaito, Jingun Kwon, Young-In Song, Manabu Okumura

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations (EACL), 2021 

• Hierarchical Trivia Fact Extraction from Wikipedia Articles

Jingun Kwon, Hidetaka Kamigaito, Young-in Song, Manabu Okumura

Proceedings of the 28th International Conference on Computational Linguistics (Coling), 2020

• Bridging between Emojis and Kaomojis by Learning their Representations from Linguistic and Visual Information

Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura

IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2019

Journals

• Joint Modeling of Emoji Position and Its Label for Better Understanding in Social Media

Jingun Kwon, Kobayashi Naoki, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura

Journal of Natural Language Processing, 29-2, 2022

Reviewer

• NAACL, ACL, EMNLP, ICLR, ...