About me

I’m PhD student at POSTECH AI. My research interests lie in various areas of text summarization and reinforcement learning. I am fortunated to be advised by Jungseul Ok and Yunsu Kim. My research is supported by Samsung Electronics MX Scholarship. Feel free to contact via email ryusangwon@postech.ac.kr.

News 🗞️

[Jun, 2025] 🎊 Selected for the Samsung Electronics MX Scholarship
[May, 2025] 🎉 One paper accepted at ACL 2025
[Jan, 2025] 🎉 Two papers accepted at NAACL 2025 (including one Oral)
[Nov, 2024] 👏 A new preprint is out: Controllable summarization with LLMs
[Sep, 2024] 🎉 One paper accepted at EMNLP 2024
[Jun, 2024] 🎉 One paper accepted at INTERSPEECH 2024 (Oral)
[May, 2024] 🎉 One paper accepted at ACL 2024

Research Interest 💡

• Natural Language Processing
• Reinforcement Learning
• Planning & Decoding Strategy
• Text Summarization
• Large Language Model
• Data Mining

Education 📚

• POSTECH
  • Ph.D. student in Graduate School of Artifical Intelligence
    Advised by Prof. Jungseul Ok and Yunsu Kim
• Ajou University
  • B.S. in Software and Computer Engineering
  • Micro Major in Artifical Intelligence

Research Experiences 👨‍🔬

• Research Assistant, POSTECH, NLP Group, Feb 2023 - current
  Advised by Prof. Yunsu Kim and Prof. Gary Geunbae Lee
• Research Intern, Ajou University, Lamda Lab, Feb 2022 - Dec 2022
  Advised by Prof. Kyung-Ah Sohn
• Research Intern, Ajou University, HMS Lab, Feb 2021 - Dec 2021
  Advised by Prof. Sangeun Oh

Publications 📖

*: Equal contributions

conferences

• 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 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

• GuRE:Generative Query REwriter for Legal Passage Retrieval
  Daehee Kim, Deokhyung Kang, Jonghwi Kim, Sangwon Ryu, Gary Geunbae Lee
  
• Teach-to-Reason with Scoring: Rationale-Driven Automated Multi-Trait Essay Scoring
  Heejin Do, Sangwon Ryu, Gary Geunbae Lee
  
• 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
  
• Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language Model
  Daehee Kim, Deokhyung Kang, Sangwon Ryu, Gary Geunbae Lee
  

domestic conferences

• Comparative Analysis of Language Model Performance in News Domain Summarization
  Sangwon Ryu, Yunsu Kim, Gary Geunbae Lee
  HCLT 2023 (Oral presentation)
• Query Control for Fluent Query Focused Summarization
  Sangwon Ryu, Kyung-Ah Sohn
  KCSE 2023 (Best paper award, Oral presentation)
• NLI Style Few-shot Learning with Supervised Contrastive Loss
  Sangwon Ryu, Kyung-Ah Sohn
  KICS 2022

Teaching Experiences 👨‍🏫

• Teaching Assistant, POSTECH
  • Introduction to Artificial Intelligence (CSED105), Spring 2025
• Mentor, POSTECH, Undergraduate Research Participation
  • Text Summarization, Feb 2024 - Jun 2024
• Lecturer, POSCO AI Application Expert Training
  • Data Mining, Apr 2024 - Aug 2024
  • Data Mining, Apr 2023 - Aug 2023
• Teaching Assistant, Megastudy
  • Mathematics, May 2019 - Dec 2019

Responsibilities ⏰

• Reviewer
  • Conference: ARR (including ACL, EMNLP, NAACL) (2025)
  • Journal: TASLP (2024, 2025)
  • Workshop: ACL (SRW 2024)

Research Projects 🏭

• Development of Machine Translation
  HYBE & Seoul National University, Principal Investigator, Dec 2024 - current
  • Machine translation, post-editing
• MILAINA: Multi-Lingual AI News Agent
  National Research Foundation of Korea (NRF), Principal Investigator, Jun 2023 - current
  • Multi-lingual text summarization
• Development and Verification of Online Hate Speech Identification Model
  National Research Foundation of Korea (NRF), Jul 2022 - Dec 2022
  • Hate speech data construction

Talks 🎙️

• Cohere For AI, Optimizing Text Summarization in Multiple Dimensions
  • Presented by Prof. Yunsu Kim

Awards and Certificates 🏅

• Samsung Electronics MX Scholarship (2025)
• Best Paper Award, KCSE (2023)
• SOFTCON Research Excellence Award, Ajou University (2022)
• Big Data Analysis Practice Level 2
• Recognition Award, Gyeonggi Nambu Provincial Police Agency (2017)
• Excellence Recruit, Korea Army (2016)

Patents and Copyrights 💼

• Instruction Tuned sLLM for News Summarization
  Copyright, Registration Number: C-2024-000076
• sLLM Tuning method for News Summarization, device for the same, and method for generating news summarization
  Patent, Registration Number: 10-2023-0191656
• Query focus summarization Program
  Copyright, Registration Number: C-2022-052465

Skills 💻

• Python, Pytorch, (Vim, Nodejs, django, SQL, Android)

Other Experiences 🚛

• Forklift Driver, Sep 2018 - Dec 2018
• Bus Driver, Auxiliary Police, Oct 2016 - Jul 2018
• BJJ, White Belt (III)
• Interests in {Body Building, MMA, Grappling}
• The harder I work, the luckier I get.