Chanjun Park

Biography

Chanjun Park is an incoming Assistant Professor in the School of Software at Soongsil University. Prior to joining Soongsil University, he was a Research Professor at Korea University. Before that, he served as a Principal Research Engineer and Technical Leader of the Large Language Models (LLMs) team at Upstage, where he contributed to building an ecosystem for LLMs. He also worked as a Research Engineer at SYSTRAN, contributing to advancements in machine translation (MT) and automatic speech recognition (ASR) systems. He earned his Ph.D. in the Department of Computer Science and Engineering at Korea University under the supervision of Professor Heuiseok Lim. He received the Naver Ph.D. Fellowship and was selected for the Forbes 30 Under 30 Korea. For more details, please see his CV.

Research Interest

My research philosophy is centered on service-driven research, aiming to bridge the gap between foundational theories in natural language processing (NLP) and their real-world applications. My primary interests include the development of efficient, purpose-trained Large Language Models (LLMs), with a focus on exploring their capability landscape across parameter regions and understanding how model scale and architecture shape emergent behaviors. I am also actively investigating how real-world phenomena can be systematically represented as text to enhance reasoning capabilities in LLMs. In addition, I am deeply engaged in cross-lingual NLP and multidisciplinary research that integrates insights from diverse domains to broaden the scope and impact of NLP technologies.

News

Education

Work Experiences

Academic Services

Publications (Selected)

Please see my CV or Google Scholar profiles for the full list.

2025

  1. Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora
    Yungi Kim, Hyunsoo Ha, Sukyung Lee, Jihoo Kim, Seonghoon Yang, Chanjun Park (✝)
    ACL 2025

  2. Enhancing Automatic Term Extraction in Large Language Models via Syntactic Retrieval
    Yongchan Chun, Minhyuk Kim, Dongjun Kim, Chanjun Park (✝), Heuiseok Lim (✝)
    ACL 2025-Findings

  3. From Ambiguity to Accuracy: The Transformative Effect of Coreference Resolution on RAG systems
    Youngjoon Jang, Seongtae Hong, Junyoung Son, Sungjin Park, Chanjun Park (✝), Heuiseok Lim (✝)
    ACL 2025 - Student Research Workshop

  4. LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs
    Sumin An, Junyoung Sung, Wonpyo Park, Chanjun Park (✝), Paul Hongsuck Seo (✝)
    NAACL 2025 (Oral)

  5. CoME: A Unlearning-based Approach to Conflict-free Model Editing
    Dahyun Jung, Jaehyung Seo, Jaewook Lee, Chanjun Park (✝), Heuiseok Lim (✝)
    NAACL 2025

  6. MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation
    Chanhee Park, Hyeonseok Moon, Chanjun Park (✝), Heuiseok Lim (✝)
    NAACL 2025-Findings

  7. FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models
    Dahyun Jung, Seungyoon Lee, Hyeonseok Moon, Chanjun Park (✝), Heuiseok Lim (✝)
    NAACL 2025-Findings

  8. Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models
    Hyeonseok Moon, Jaehyung Seo, Seungyoon Lee, Chanjun Park (✝), Heuiseok Lim (✝)
    NAACL 2025-Findings

  9. Open Ko-LLM Leaderboard2: Bridging Foundational and Practical Evaluation for Korean LLMs
    Hyeonwoo Kim, Dahyun Kim, Jihoo Kim, Sukyung Lee, Yungi Kim, Chanjun Park (✝)
    NAACL 2025 - Industry, 2025

  10. Understanding LLM Development Through Longitudinal Study: Insights from the Open Ko-LLM Leaderboard
    Chanjun Park (✝), Hyeonwoo Kim
    NAACL 2025 - Industry, 2025

  11. CharacterGPT: A Persona Reconstruction Framework for Role-Playing Agents
    Jeiyoon Park, Chanjun Park (✝), Heuiseok Lim (✝)
    NAACL 2025 - Industry, 2025

  12. Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
    Hyunbyung Park, Sukyung Lee, Gyoungjin Gim, Yungi Kim, Dahyun Kim, Chanjun Park (✝)
    NAACL 2025 - Demo, 2025

  13. Representing the Under-Represented: Cultural and Core Capability Benchmarks for Developing Thai Large Language Models
    Dahyun Kim, Sukyung Lee, Yungi Kim, Attapol Rutherford, Chanjun Park (✝)
    COLING 2025

  14. sDPO: Don’t Use Your Data All at Once
    Dahyun Kim, Yungi Kim, Wonho Song, Hyeonwoo Kim, Yunsu Kim, Sanghoon Kim, Chanjun Park (✝)
    COLING 2025 - Industry

  15. An analysis on language transfer of pre-trained language model with cross-lingual post-training
    Suhyune Son (*), Chanjun Park (*), Jungseob Lee (*), Midan Shim (*), Chanhee Lee, Yoonna Jang, Jaehyung Seo, Jungwoo Lim, Heuiseok Lim
    Expert Systems with Applications, 2025

2024

  1. Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts
    Seonmin Koo, Jinsung Kim, YoungJoon Jang, Chanjun Park (✝), Heuiseok Lim (✝)
    EMNLP 2024

  2. Search if you don’t know! Knowledge-Augmented Korean Grammatical Error Correction with Large Language Models
    Seonmin Koo, Jinsung Kim, Chanjun Park (✝), Heuiseok Lim (✝)
    EMNLP 2024-Findings

  3. Translation of Multifaceted Data without Re-Training of Machine Translation Systems
    Hyeonseok Moon, Seungyoon Lee, Seongtae Hong, Seungjun Lee, Chanjun Park , Heuiseok Lim
    EMNLP 2024-Findings

  4. SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
    Hyeonwoo Kim, Gyoungjin Gim, Yungi Kim, Jihoo Kim, Byungju Kim, Wonseok Lee, Chanjun Park (✝)
    EMNLP 2024 - Industry

  5. Evalverse: Unified and Accessible Library for Large Language Model Evaluation
    Jihoo Kim, Wonho Song, Dahyun Kim, Yunsu Kim, Yungi Kim, Chanjun Park (✝)
    EMNLP 2024 - Demo

  6. Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark
    Chanjun Park, Hyeonwoo Kim, Dahyun Kim, SeongHwan Cho, Sanghoon Kim, Sukyung Lee, Yungi Kim, Hwalsuk Lee
    ACL 2024

  7. KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models
    Jaehyung Seo, Jaewook Lee, Chanjun Park, SeongTae Hong, Seungjun Lee, Heuiseok Lim
    ACL 2024 - Findings

  8. Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation
    Jungseob Lee, Hyeonseok Moon, Seungjun Lee, Chanjun Park (✝), Sugyeong Eo, Hyunwoong Ko, Jaehyung Seo, Seungyoon Lee, Heuiseok Lim (✝)
    ACL 2024 - Findings

  9. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
    Sanghoon Kim (*, ✝), Dahyun Kim (*), Chanjun Park (*, ✝), Wonsung Lee (*, ✝), Wonho Song (*), Yunsu Kim (*), Hyeonwoo Kim (*), Yungi Kim, Hyeonju Lee, Jihoo Kim, Changbae Ahn, Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim, Mikyoung Cha, Hwalsuk Lee (✝), Sunghun Kim (✝)
    NAACL 2024 - Industry

  10. Exploring Inherent Biases in LLMs within Korean Social Context: A Comparative Analysis of ChatGPT and GPT-4
    Seungyoon Lee, Dongjun Kim, Dahyun Jung, Chanjun Park (✝), Heuiseok Lim (✝)
    NAACL 2024 - Student Research Workshop

  11. Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation
    Dahyun Jung, Sugyeong Eo, Chanjun Park (✝), Heuiseok Lim (✝)
    NAACL 2024 - Student Research Workshop

  12. Leveraging Pre-existing Resources for Data-Efficient Counter-Narrative Generation in Korean
    Seungyoon Lee, Chanjun Park (✝), DaHyun Jung, Hyeonseok Moon, Jaehyung Seo, Sugyeong Eo, Heuiseok Lim (✝)
    LREC-COLING 2024, Oral

  13. Detecting Critical Errors Considering Cross-Cultural Factors in English-Korean Translation
    Sugyeong Eo, Jungwoo Lim, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, Heuiseok Lim
    LREC-COLING 2024, Oral

  14. Model-Based Data-Centric AI: Bridging the Divide Between Academic Ideals and Industrial Pragmatism
    Chanjun Park (*, ✝), Minsoo Khang (*), Dahyun Kim (*)
    ICLR 2024 - Data-centric Machine Learning Research (DMLR) Workshop

  15. Hyper-BTS Dataset: Scalability and Enhanced Analysis of Back TranScription (BTS) for ASR Post-Processing
    Chanjun Park, Jaehyung Seo, Seolhwa Lee, Junyoung Son, Hyeonseok Moon, Sugyeong Eo, Chanhee Lee, Heuiseok Lim
    EACL 2024 - Findings

  16. Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation
    Hyeonseok Moon, Jaewook Lee, Sugyeong Eo, Chanjun Park, Jaehyung Seo, Heuiseok Lim
    EACL 2024 - Findings

  17. Exploiting Hanja-based Resources in Processing Korean Historic Documents written by Common Literati
    Hyeonseok Moon, Myunghoon Kang, Jaehyung Seo, Sugyeong Eo, Chanjun Park, Yeongwook Yang, Heuiseok Lim
    IEEE Access, 2024

2023

  1. KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing
    Seonmin Koo (*), Chanjun Park (*), Jinsung Kim, Jaehyung Seo, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim
    EMNLP 2023

  2. CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients
    Jaehyung Seo, Hyeonseok Moon, Jaewook Lee, Sugyeong Eo, Chanjun Park, Heuiseok Lim
    EMNLP 2023

  3. Proceedings of the Seventh Widening NLP Workshop (WiNLP 2023)
    Bonaventure F. P. Dossou, Isidora Tourni, Hatem Haddad, Shaily Bhatt, Fatemehsadat Mireshghallah, Sunipa Dev, Tanvi Anand, Weijia Xu, Atnafu Lambebo Tonja, Alfredo Gomez, Chanjun Park
    EMNLP 2023-Widening NLP Workshop

  4. Alternative Speech: Complementary Method to Counter-Narrative for Better Discourse
    Seungyoon Lee (*), DaHyun Jung (*), Chanjun Park (*), Seolhwa Lee, Heuiseok Lim
    ICDM 2023 - The First Workshop on Data-Centric AI

  5. Synthetic Alone: Exploring the Dark Side of Synthetic Data for Grammatical Error Correction
    Chanjun Park (*), Seonmin Koo (*), Seolhwa Lee, Jaehyung Seo, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim
    ICML 2023 - Data-centric Machine Learning Research (DMLR) Workshop

  6. DMOps: Data Management Operation and Recipes
    Eujeong Choi, Chanjun Park (*, ✝)
    ICML 2023 - Data-centric Machine Learning Research (DMLR) Workshop

  7. Inter-Annotator Agreement in the Wild: Uncovering Its Emerging Roles and Considerations in Real-World Scenarios
    NamHyeok Kim, Chanjun Park (*, ✝)
    ICML 2023 - Data-centric Machine Learning Research (DMLR) Workshop

  8. Transcending Traditional Boundaries: Leveraging Inter-Annotator Agreement (IAA) for Enhancing Data Management Operations
    Damrin Kim, NamHyeok Kim, Chanjun Park (✝) , Harksoo Kim (✝)
    ICML 2023 - Data-centric Machine Learning Research (DMLR) Workshop

  9. Data-Driven Approach for Formality-Sensitive Machine Translation: Language-Specific Handling and Synthetic Data Generation
    Seugnjun Lee, Hyeonseok Moon, Chanjun Park, Heuiseok Lim
    ICML 2023 - Data-centric Machine Learning Research (DMLR) Workshop

  10. Toward Practical Automatic Speech Recognition and Post-Processing: a Call for Explainable Error Benchmark Guideline
    Seonmin Koo (*), Chanjun Park (*), Jinsung Kim, Jaehyung Seo, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim
    ICML 2023 - Data-centric Machine Learning Research (DMLR) Workshop

  11. Knowledge Graph-Augmented Korean Generative Commonsense Reasoning
    Dahyun Jung, Jaehyung Seo, Jaewook Lee, Chanjun Park, Heuiseok Lim
    ICML 2023 - Data-centric Machine Learning Research (DMLR) Workshop

  12. Informative Evidence-guided Prompt-based Fine-tuning for English-Korean Critical Error Detection
    DaHyun Jung, Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, Heuiseok Lim
    IJCNLP-AACL 2023

  13. Improving Formality-Sensitive Machine Translation using Data-Centric Approaches and Prompt Engineering
    Seugnjun Lee, Hyeonseok Moon, Chanjun Park, Heuiseok Lim
    IWSLT 2023

  14. PEEP-Talk: A Situational Dialogue-based Chatbot for English Education
    Seugnjun Lee, Yoonna Jang, Chanjun Park, Jungseob Lee, Jaehyung Seo, Hyeonseok Moon, Sugyeong Eo, Seounghoon Lee, Bernardo Nugroho Yahya, Heuiseok Lim
    ACL 2023 - Demo

  15. Doubts on the Reliability of Parallel Corpus Filtering
    Hyeonseok Moon, Chanjun Park , Seonmin Koo, Jungseob Lee, Seungjun Lee, Jaehyung Seo, Sugyeong Eo, Yoonna Jang, Hyunjoong Kim, Hyoung-gyu Lee, Heuiseok Lim
    Expert Systems With Applications, 2023

  16. Uncovering the Risks and Drawbacks Associated with the Use of Synthetic Data for Grammatical Error Correction
    Seonmin Koo (*), Chanjun Park (*), Seolhwa Lee, Jaehyung Seo, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim
    IEEE Access, 2023

  17. Data-Centric Neural Machine Translation - A Real-World Approaches
    Chanjun Park
    Ph.D. Dissertation

Teaching (Selected)

  1. Database Application, Soongsil University. (2025-Fall)

Awards (Selected)

Year Award
2024.02 Forbes 30 Under 30 Korea
2023.02 Best Paper Award at Korea University
2022.12 1st Place at WMT Quality Estimation Shared Task 2022 - Sentence-level Critical Error Detection
2021.12 Naver Ph.D. Fellowship
2019.10 1st Place at Microsoft AI Accessibility Hackathon in Korea, Microsoft

Media Coverages (Press, Youtube, Blog)

Year Headline Press
2025.07 업스테이지, 자체 LLM으로 세계에 ‘K-AI’ 심는다(上) 한스경제
2025.06 아이서티-고려대 HIAI연구원, 영상보안 AI기술 개발 MOU 체결 파이낸셜 리뷰 등 다수 언론사
2025.02 딥시크 쇼크…한국 AI 산업, 위기가 기회될까 경향신문
2025.02 ‘D·R·I·F·T’ 덫에 갇힌 한국…이대론 ‘AI 패권시대’ 구경꾼 될판 서울경제
2025.02 국내 기업도 AI 서비스 본격화…’동맹 확장’ 노리는 오픈AI 연합뉴스
2025.02 [차이나 역습] “기술전쟁 본격 대비를…’국가 전략 AI’ 신발끈 묶을 때” 연합뉴스
2024.11 불법 학습 데이터 활용…AI 기업 ‘망조’의 지름길 디지털 데일리
2024.11 주한미국대사관 ‘AI 윤리’ 주제로 한 ‘2024 테크 캠프(TechCamp)’ 성료 매일경제 등 다수 언론사
2024.11 주한미국대사관, 한국서 첫 청년 테크 캠프 연다 조선일보
2024.10 AI편향성 문제 해결나선 국가들…국내 데이터 전처리 기술 주목 디지털 데일리
2024.09 오픈AI, 한국어 포함 14개 언어 AI 평가용 벤치마크 데이터셋 출시 AI TIMES
2024.09 국내 AI 업계 오픈AI ‘스트로베리’ 관전평…”초격차까지는 아니다 디지털 데일리
2024.09 추론하는 법 배웠다…오픈AI ‘o1’ 출시에 국내 업계 반응은 ZDNET
2024.08 딥페이크 확산에…“플랫폼이 삭제하는 법 규정” 한목소리 한겨레
2024.08 NIA·업스테이지, ‘오픈 Ko-LLM 리더보드’ 전면 개편 서울경제 외 다수 언론사
2024.08 AI도 가성비 시대? 대형 언어 모델(LLM)과 대비된다는 SLM의 정체는 조선일보
2024.08 한국어 LLM 리더보드 시즌2 가동…“벤치마크 난도 높여 오버피팅 논란 뚫는다” 전자신문
2024.07 ‘말 잘하는 AI’는 LLM 덕분? ‘NLP’도 기억하자! 디지털데일리
2024.06 SAAS - Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models Upstage Tech Blog
2024.06 The Ecosystem of LLMs from a Real-World Perspective Kyungpook National University Youtube
2024.06 한국어 LLM 리더보드 ‘업그레이드’ 추론·산출추론 지표 추가 중앙일보 외 다수 언론사
2024.05 ‘S급 데이터 모아와라’…빅테크는 도둑질까지 했다 중앙일보
2024.05 올트먼 “우리 AI 밥 줘야지!” 도둑질도 부른 데이터 전쟁 중앙일보 Plus
2024.05 업스테이지 “성능·실용성 모두 갖춘 LLM 개발이 목표” 데일리안
2024.05 What does it mean to use AI ‘ethically’? NODESHORE
2024.05 “AI 발전하듯 AI 윤리도 진화해야”…네이버·업스테이지의 공통된 시각 테크 월드
2024.05 격화되는 AI 패권 경쟁 속 안전성 확보 법·제도 제자리…”AI 기본법 조속히 통과돼야” 디지털 타임스
2024.05 한자리에 모인 AI 관계자들 “안전한 AI 기술과 문화 전파해야 스카이 데일리
2024.05 LLM 비즈니스도 ‘풀스택’을 준비해야 할 때 디지털 데일리
2024.05 국제인공지능윤리협회, AI 윤리 논하는 ‘2024 ASC’ 컨퍼런스 개최 매일경제 외 다수 언론사
2024.05 플리토-업스테이지, 손잡고 AI 언어 데이터 구축 추진 디지털데일리 외 다수 언론사
2024.05 Evalverse: Revolutionizing Large Language Model Evaluation with a Unified, User-Friendly Framework Hugging Face
2024.05 특정 분야 강점 업스테이지 ‘솔라’, 온디바이스 옷 입는다 디지틀 조선일보
2024.05 Upstage Full-stack LLM Ecosystem 디지털 데일리
2024.05 업스테이지 “솔라, 특정 분야서 ‘GPT4’ 넘을 수 있어” ZDNET Korea
2024.04 업스테이지, ‘오픈 Ko-LLM 리더보드’ 대대적 개편 전자신문
2024.04 오는 5월 AI Tech 2024 개최…생성형 AI 활용 전략에 ‘집중’ 헬로티
2024.04 AI 윤리 신뢰성 포럼’ 출범…참가자는 누구? 이데일리
2024.04 MathGPT: Leveraging Llama 2 to create a platform for highly personalized learning Meta
2024.04 Evalverse: Revolutionizing Large Language Model Evaluation with a Unified, User-Friendly Framework Upstage Tech Blog
2024.04 과정 모르는 ‘AI 블랙박스’…해결 아닌 해석 필요한 이유 Tech World News
2024.04 기존 벤치마크 한계 도달…새로운 LLM 평가 수단 속속 등장 AI TIMES
2024.04 네이버의 AI 전쟁, 특수 Fortune Korea
2024.04 야놀자·이든티앤에스, NIA·업스테이지 선정 ‘올해의 한국어 LLM’ 연합뉴스 외 다수 언론사
2024.04 Open Source All About Data Processing, Dataverse Hugging Face
2024.04 Upstage AI Introduces Dataverse for Addressing Challenges in Data Processing for Large Language Models Marktechpost Media
2024.04 Teaching SOLAR to Shine: How Upstage AI’s sDPO Aligns Language Models with Human Values Marktechpost Media
2024.04 20대에 180편 썼다…‘AI 논문머신’ 박찬준 이야기 [스토리팩-업스테이지⑤] 디지털 데일리
2024.03 “1000명 ‘레드팀’ 공격 막자”…한국 대표 AI, 맹훈련 나선다 머니 투데이
2024.03 업스테이지 솔라 논문, 자연어 처리 학회 ‘NAACL’ 채택 연합뉴스 외 다수 언론사
2024.03 Story Pack - 박찬준 디지털 데일리 콘텐츠랩
2024.03 데이터 처리에 관한 모든 것, 데이터버스의 오픈 소스 Upstage Tech Blog
2024.03 AI 끝판왕 ‘AGI’ 위한 3박자…전문가들 의견 봤더니 Tech World News
2024.03 업스테이지, 데이터 전처리 메커니즘 ‘데이터버스’ 오픈 소스 공개 AI TIMES
2024.03 이세영 뤼튼 대표 등 AI 전문가 5인, 포브스코리아 ‘30세 미만 30인’ 선정 AI TIMES
2024.03 사임 압박에 소송전까지…’AI 패권’ 두고 쟁탈전 SBS
2024.02 포브스코리아 30세 미만 30인 2024 (5) SCIENCE/SW Forbes Korea
2024.02 포브스코리아 30세 미만 30인 2024 Forbes Korea
2024.02 Introducing the Open Ko-LLM Leaderboard: Leading the Korean LLM Evaluation Ecosystem Hugging Face
2024.02 Ko-LLM 리더보드, 5개월간 대성공…확장·전환 통해 실사용 도움 될 것 AI TIMES
2024.01 버티컬 시장에 쏠리는 눈…AI발 M&A 슈퍼사이클 열린다 이투데이
2023.12 과기정통부, 제4회 AI 데이터 활용협의회 개최 아시아투데이 등 다수 언론사
2023.12 서울교육청, 16일 ‘AI·디지털 교육 컨퍼런스’ 개최 이데일리 등 다수 언론사
2023.12 업스테이지 연구진, ‘초거대 언어모델 연구 동향’ 이라는 한국어 LLM 서베이 논문 공개 인공지능 신문
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