About me

I am a Ph.D. candidate in the Graduate School of Artificial Intelligence at Pohang University of Science and Technology (POSTECH), advised by Prof. Jungseul Ok and Prof. Gary Geunbae Lee. I am a member of NLP Group at POSTECH, advised by Prof. Yunsu Kim. My research interests lie in natural language processing, with a particular focus on text summarization, controllable text generation, and multilingual NLP. I am also interested in reinforcement learning, including planning and multi-objective optimization. My research is supported by the Samsung Electronics Mobile eXperience (MX). Previously, I completed my B.S. in Software and Computer Engineering from Ajou University, with a micro in Artificial Intelligence.

I have also worked as a forklift driver, and served as a bus driver in the Auxiliary Police. In my free time, I enjoy combat sports, including bodybuilding, MMA, BJJ, and grappling.

Feel free to contact me via email at ryusangwon@postech.ac.kr.

News 🗞️

[Sep, 2025] 🎉 One paper has been accepted at NLLP Workshop (EMNLP 2025)
[Jun, 2025] 🎊 I have been selected for the Samsung Electronics MX Scholarship
[May, 2025] 🎉 One paper has been accepted at ACL 2025
[Jan, 2025] 🎉 Two papers have been accepted at NAACL 2025 (one Oral, one Findings)
[Sep, 2024] 🎉 One paper has been accepted at EMNLP 2024
[Jun, 2024] 🎉 One paper has been accepted at INTERSPEECH 2024 (Oral)
[May, 2024] 🎉 One paper has been accepted at ACL 2024

Publications 📖

*: Equal contributions

conferences

• GuRE:Generative Query REwriter for Legal Passage Retrieval
  Daehee Kim, Deokhyung Kang, Jonghwi Kim, Sangwon Ryu, Gary Geunbae Lee
  NLLP Workshop at EMNLP 2025
• Multi-facet Blending for Faceted Query-by-Example Retrieval
  Heejin Do*, Sangwon Ryu*, Jonghwi Kim, Gary Geunbae Lee
  ACL 2025
• Towards Prompt Generalization: Grammar-aware Cross-Prompt Automated Essay Scoring
  Heejin Do, Taehee Park, Sangwon Ryu, Gary Geunbae Lee
  NAACL Short Findings 2025
• Revisiting Early Detection of Sexual Predators via Turn-level Optimization
  Jinmyeong An, Sangwon Ryu, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Geunbae Lee
  NAACL 2025 (Oral presentation)
• Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards
  Heejin Do, Sangwon Ryu, Gary Geunbae Lee
  EMNLP 2024
• Key-Element-Informed sLLM Tuning for Document Summarization
  Sangwon Ryu*, Heejin Do*, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok
  INTERSPEECH 2024 (Oral presentation)
• Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning
  Sangwon Ryu*, Heejin Do*, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok
  ACL 2024

preprints

• Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search
  Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok
  
• Exploring Iterative Controllable Summarization for Large Language Models
  Sangwon Ryu, Heejin Do, Daehee Kim, Hwanjo Yu, Dongwoo Kim, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok
  
• Teach-to-Reason with Scoring: Rationale-Driven Automated Multi-Trait Essay Scoring
  Heejin Do, Sangwon Ryu, Gary Geunbae Lee
  
• Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language Model
  Daehee Kim, Deokhyung Kang, Sangwon Ryu, Gary Geunbae Lee