Jeongwan Shin
About Me
Jeongwan is a researcher in the field of Natural Language Processing (NLP), with a focus on machine learning, natural language processing, abstractive summarization, fact correction and Large Language Model (LLM). He is currently pursuing the Ph.D. candidate in computer science and engineering. He is currently interested in forming an LLM-based ecosystem.
Research Interests and Skills
- Natural Language Processing: Language Generation, In-context learning, Summarization, Text-Diffusion generation, Rainforment learning from human feedback
- Visual Language Processing: Video Question Ansering
- Machine Learning: Generative Model, Representation learning
- Programming: Pytorch, Pytorch lightning
- GPU server Build Management: Linux configuration and engineering, NAS, Docker
- Language Skills: Korean, English
News
- [May. 2025] Excited to share that our paper, "Cross-Modal Knowledge Distillation for Enhancing Domain-Specific Retrievers", has been accepted for presentation at the *Information Retrieval's Role in RAG Systems* (IR-RAG) at SIGIR 2025.
- [Mar. 2025] Our paper, "Does Video Language Models Really Understand the Video Contexts?", has been accepted to NAACL 2025 Student Research Workshop (SRW).
- [Sep. 2024] Our paper about Factuality Guided Diffusion-Based Abstractive Summarization is accepted to IEEE access 2024.
- [Jan. 2023] Our paper about Token-Level Fact Correction in Abstractive Summarization is accepted to IEEE access 2023.
Publications
International Conference
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SIGIR
The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval July 13-17, 2025PDF SIGIR -
NAACL
The 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025) will be held in Albuquerque, New Mexico from April 29–May 4, 2025.PDF NAACL
International Journal
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Applied Computing eJournal
Applied Computing eJournal, 2024. -
IEEE access
Published in: IEEE access( Volume: 12), 2024. -
IEEE access
Published in: IEEE access( Volume: 11), 2023.
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Journal of KIISE
Korean Institute of Information Scientists and Engineers, vol.49, no.3, pp. 231-240, 2022.
Domestic journal
Domestic conference
Atomic Unit-based Post Editing for Hallucination Reduction Yonghwan Lee, Jeongwan Shin, Hyun-Je Song The 35th Annual Conference on Human Cognitive Language Technology, 2023. Multi-view Spectral Clustering for news articles Sang-Seok Park, Jeongwan Shin, Seyoung Park, Seong-Bae Park Korean Institute of Information Scientists and Engineers, Korea Computer Congress 2018 Generating Multi-Class Images Using a Generative Adversarial Network Jeongwan Shin, Yunseok Noh, Se-young Park Korean Institute of Information Scientists and Engineers, Korea Computer Congress 2017 Neural Conversational Model for Specific Domain Sujeong Choi, Jeongwan Shin, Ian Jung, Se-Young Park, Seong-Bae Park Korean Institute of Information Scientists and Engineers, Korea Software Congress 2017 Pattern Filtering for Knowledge Extraction Using Facts from Web Sol Kim, Jeongwan Shin, Se-Young Park, Sang-Jo Lee Korean Institute of Information Scientists and Engineers. 2015
Experience
Invited Talk
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Understanding the Objective Function of RLHF(From ChatGPT to Deepseek)PLACE: Kyungpook National University(2025)
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Token-Level Fact Correction in Abstractive SummarizationPLACE: Jeonbuk National University(2022)
Internship
KAIST Hangul Engineering Research Lab (Mar 2013 - Feb 2014) Development of Hangul-based Universal Phonetic System Developing keyboard applications for iPhone and Android Technology integration and call process development
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