Biography

Chanjun Park is a Research Professor at Korea University. Before joining Korea University, he served as a Principal Research Engineer and Technical Leader for 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 the development of machine translation (MT) and automatic speech recognition (ASR) systems. He earned his Ph.D. at Korea University under the supervision of Professor Heuiseok Lim. He has authored over 100 publications in leading NLP conferences and journals, such as ACL, EMNLP, NAACL, EACL, and COLING. He has delivered over 70 invited talks and has significant teaching experience. Additionally, he holds more than 10 patents in the field of natural language processing (NLP). His achievements include recognition in Forbes 30 Under 30 Korea in the SCIENCE / SW field and the Naver Ph.D. Fellowship. He has been actively involved in the academic community, holding roles such as Virtual Social Chair at COLING 2022, Publication Chair for DMLR at ICLR 2024, and Program Chair for the WiNLP Workshop. 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 practical, real-world applications. My primary interests include the development of efficient, purpose-trained Large Language Models (LLMs), with a particular focus on their fundamental capabilities, rigorous evaluation, and addressing issues of recency and truthfulness. Additionally, I am deeply engaged in cross-lingual NLP and multidisciplinary research that integrates diverse fields to enhance NLP applications.

News

• 2025: One paper has been accepted at COLING 2025 Industry Track.
  
• 2024: After 2 years and 9 months at Upstage, I have joined Korea University as a Research Professor.
  
• 2024: Five papers (including two from Findings, one from Demo and one from Industry) have been accepted at EMNLP 2024.
  
• 2024: Three papers (including two Findings) have been accepted at ACL 2024.
  
• 2024: Three papers (including one from industry and two from SRW) have been accepted at NAACL 2024.
  
• 2024: Two papers have been accepted at LREC-COLING 2024.
  
• 2024: Two papers have been accepted at EACL Findings 2024.
  
• 2024: One paper has been accepted at ICLR 2024 workshop.
  
• 2024: I was selected for Forbes 30 Under 30 Korea.
  
• 2024: I was selected to serve as the Publication Chair for ICLR 2024-DMLR.
  
• 2023: Two papers have been accepted at EMNLP 2023.
  

Education

• 2019.09 - 2023.08: Ph.D in Computer Science and Engineering, Korea University (Advisor: Heuiseok Lim)
  
• 2015.03 - 2019.02: B.S. in Natural Language Processing & Creative Convergence, Busan University of Foreign Studies (BUFS) (Advisor: Pum-mo Ryu)
  

Work Experiences

• 2024.12 - Now: Korea University, Research Professor
  
• 2022.07 - 2024.11: Upstage, Principal Research Engineer, Technical Leader (TL)
  
• 2022.03 - 2022.07: Upstage, AI Research Engineer Intern
  
• 2018.09 - 2019.07: SYSTRAN, Research Engineer
  
• 2018.06 - 2018.08: SYSTRAN, Research Engineer Intern

Selected Projects

• Upstage: Solar, Open Ko-LLM Leaderboard, Open Ko-LLM Leaderboard2, sDPO, SAAS, Dataverse, Evalverse, 1 Trillion Token Club, LP Data Pipeline. Thai LLM, DeepLearning.AI
  

• Korea University: KoCommonGEN v2, LeVoc, Hyper-BTS, KEBAP, Critical Error Detection, Quality Estimation, Automatic Post Editing, Parallel Corpus Filtering, Korean CommonGen, PEEP-Talk, FreeTalky, PicTalky, ONE-Piece
  

• SYSTRAN: Real-time Simultaneous Speech Translation
  

• BUFS: Han-Tong-E, Exobrain
  

Academic Service

• Program Chair: Widening NLP (WiNLP) Workshop (EMNLP 2023, EMNLP 2024)
  
• Publication Chair: ICLR 2024-Data-centric Machine Learning Research (DMLR) 2024
  
• Virtual Social Chair: COLING 2022
  
• Program Committee: COLING 2025, AAAI 2025, Reviewer of ACL Rolling Review (ACL, EMNLP, NAACL, EACL etc.), EMNLP 2024-Industry Track, NeurIPS 2024 Track Datasets and Benchmarks, ACL 2024-ML4AL, NAACL 2024-NLP+CSS, NAACL 2024-Insights, NAACL 2024-BEA, ICLR 2024 Workshop Proposal Reviewing, ICML 2023-Data-centric Machine Learning Research (DMLR), ACL 2023-Industry Track, ACL 2023-BEA, ACL 2022-Insights, NAACL 2022-Industry Track
  

Selected External Activities

• Advisor: Information Technology Committee of the Republic of Korea Army (육군발전자문위 정보화분과 자문위원), 2024.05~2025.04
  
• Committee Member: Artificial Intelligence Ethics and Policy, organized by the Ministry of Science and ICT (과기정통부 AI 윤리·신뢰성 포럼 위원 - AI 전략최고위협의회 윤리·안전분과), 2024.04~
  
• Committee Member: AI Privacy Policy Council (AI 프라이버시 민·관 정책협의회) 3분과 (투명성 확보), 2023.10~
  

Publications

Preprints

1. LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models
   Yungi Kim, Hyunsoo Ha, Seonghoon Yang, Sukyung Lee, Jihoo Kim, Chanjun Park (✝)
   arxiv, 2024
   

2. Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching
   Seoyeon Kim, Huiseo Kim, Chanjun Park, Jinyoung Yeo, Dongha Lee
   arxiv, 2024
   

3. Open Ko-LLM Leaderboard2: Bridging Foundational and Practical Evaluation for Korean LLMs
   Hyeonwoo Kim, Dahyun Kim, Jihoo Kim, Sukyung Lee, Yungi Kim, Chanjun Park (✝)
   arxiv, 2024
   

4. 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 (✝)
   arxiv, 2024
   

5. InstaTrans: An Instruction-Aware Translation Framework for Non-English Instruction Datasets
   Yungi Kim, Chanjun Park (✝)
   arxiv, 2024
   

6. 1 Trillion Token (1TT) Platform: A Novel Framework for Efficient Data Sharing and Compensation in Large Language Models
   Chanjun Park (✝), Hyunsoo Ha, Jihoo Kim, Yungi Kim, Dahyun Kim, Sukyung Lee, Seonghoon Yang
   arxiv, 2024
   

7. 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 (✝)
   arxiv, 2024
   

8. Understanding LLM Development Through Longitudinal Study: Insights from the Open Ko-LLM Leaderboard
   Chanjun Park (✝), Hyeonwoo Kim
   arxiv, 2024
   

9. ChatLang-8: An LLM-Based Synthetic Data Generation Framework for Grammatical Error Correction
   Jeiyoon Park, Chanjun Park (✝), Heuiseok Lim (✝)
   arxiv, 2024
   

10. Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
    Hyunbyung Park, Sukyung Lee, Gyoungjin Gim, Yungi Kim, Dahyun Kim, Chanjun Park (✝)
    arxiv, 2024
    

11. Self-Improving-Leaderboard(SIL): A Call for Real-World Centric Natural Language Processing Leaderboards
    Chanjun Park, Hyeonseok Moon, Seolhwa Lee, Jaehyung Seo, Sugyeong Eo, Heuiseok Lim
    arxiv, 2023
    

Conferences

1. 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
   

2. 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
   

3. 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
   

4. 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
   

5. 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
   

6. 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
   

7. 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
   

8. 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
   

9. 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
   

10. 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
    

11. 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
    

12. 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
    

13. 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
    

14. 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
    

15. 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
    

16. 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
    

17. 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
    

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

19. 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
    

20. PicTalky: Augmentative and Alternative Communication for Language Developmental Disabilities
    Chanjun Park (*), Yoonna Jang (*), Seolhwa Lee (*), Jaehyung Seo (*), Kisu Yang, Heuiseok Lim
    AACL-IJCNLP 2022 - Demo
    

21. KU X Upstage’s submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task
    Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, Heuiseok Lim
    WMT 2022
    

22. QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation
    Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, Gyeongmin Kim, Jungseob Lee, Heuiseok Lim
    COLING 2022
    

23. A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation
    Jaehyung Seo, Seounghoon Lee, Chanjun Park, Yoonna Jang, Hyeonseok Moon, Sugyeong Eo, Seonmin Koo, Heuiseok Lim
    NAACL 2022 - Findings
    

24. Priming Ancient Korean Neural Machine Translation
    Chanjun Park (*), Seolhwa Lee (*), Hyeonseok Moon, Sugyeong Eo, Jaehyung Seo, Heuiseok Lim
    LREC 2022, Oral
    

25. FreeTalky: Don’t Be Afraid! Conversations Made Easier by a Humanoid Robot using Persona-based Dialogue
    Chanjun Park (*), Yoonna Jang (*), Seolhwa Lee (*), Sungjin Park (*), Heuiseok Lim
    LREC 2022
    

26. Empirical Analysis of Synthetic Data Generation Using Noising Strategies for Automatic Post-editing
    Hyeonseok Moon, Chanjun Park, Seolhwa Lee, Jaehyung Seo, Jeongsub Lee, Sugyeong Eo, Heuiseok Lim
    LREC 2022
    

27. Should we find another model?: Improving Neural Machine Translation Performance with ONE-Piece Tokenization Method without Model Modification
    Chanjun Park (*), Sugyeong Eo (*), Hyeonseok Moon (*), Heuiseok Lim
    NAACL-HLT 2021 - Industry
    

Selected Workshops

1. 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 (SRW)
   

2. 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 (SRW)
   

3. 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
   

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

6. Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation
   Chanjun Park, Sungjin Park, Seolhwa Lee, Taesun Whang, Heuiseok Lim
   EMNLP 2021 -The Second Workshop on Insights from Negative Results in NLP
   

7. BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text
   Chanjun Park, Jaehyung Seo, Seolhwa Lee, Chanhee Lee, Hyeonseok Moon, Sugyeong Eo, Heuiseok Lim
   ACL 2021 -Workshop on Asian Translation (WAT)
   

8. Dealing with the Paradox of Quality Estimation
   Sugyeong Eo (*), Chanjun Park (*), Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim
   MT Summit 2021 - Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)
   

In addition, I have published 23 papers in international workshops, 31 papers in international journals (SCI/SCIE), 21 papers in domestic journals (KCI), 65 papers in domestic conferences, and 34 papers in other international conferences.

Selected Teaching

1. Pretraining LLMs, Content Planning and Production, DeepLearning.AI. (2024)
   
2. Language Model to Large Language Model (LM to LLM), Instructor, Fast Campus. (2023)
   
3. Natural Language Processing (NLP) Basic, Instructor, Fast Campus. (2023)
   
4. Learning ChatGPT Utilization and Service Construction with AskUP, Instructor, Fast Campus. (2023)
   
5. Data-Centric NLP, Instructor, BoostCamp - NAVER Connect Foundation. (2023)
   
6. Machine Translation for everyone, Instructor, SK T Academy. (2019)
   

Selected Awards

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

Selected Invited Talk

Year	Place	Contents
2024.11	LG Electronics	Large Language Model Data and Evaluation in the Wild
2024.11	U.S. Department of State-2024 Tech Camp Korea	Large Language Model in the Wild
2024.10	Republic of Korea Army Headquarters	Large Language Model in the Wild
2024.09	Seoul National University	Large Language Model in the Wild
2024.09	Embassy of the United States in Seoul	The entire journey to becoming a natural language processing researcher
2024.07	Sungkyunkwan University	SOLAR: The Next Frontier in Large Language Models by Upstage and its Ecosystem
2024.06	KCC 2024	SOLAR: The Next Frontier in Large Language Models by Upstage and its Ecosystem
2024.05	Applied ML: LLMs and Knowledge Graphs- Tokyo	The Ecosystem of LLMs from a Real-World Perspective
2024.05	AI Safety Compass Conference ​2024	Data and Evaluation Methods for Trustworthy AI
2024.05	ETRI	SOLAR: The Next Frontier in Large Language Models by Upstage and its Ecosystem
2024.05	AI Tech 2024 - AI Frontier for AI Era	SOLAR: The Next Frontier in Large Language Models by Upstage and its Ecosystem
2024.05	No code·Low code Hyper-automation Conference 2024	The Ecosystem of LLMs from a Real-World Perspective
2024.01	The University of Tokyo	SOLAR: The Next Frontier in Large Language Models by Upstage
2023.12	Seoul Metropolitan Office of Education-AI & Digital Education Conference	Reset Moment by Large Language Model
2023.12	Korean-English Joint Seminar on Artificial Intelligence (AI) Safety and Reliability	Upstage Vision for Ethical and Trustworthy Large Language Models
2023.09	Korea University	From Language Model to Large Language Model
2023.09	HanYang University	From Language Model to Large Language Model
2023.09	AGI Town in Seoul	The use case of solving customer problems using LLM
2023.08	Google I/O Extended 2023 Incheon	From Language Model to Large Language Model
2023.07	Google I/O Extended 2023 Seoul	From Language Model to Large Language Model
2023.07	TensorFlow Korea LLM Day	Language Model to Large Language Model
2023.06	AI EDucation Alliance Policy lab (AIEDAP)	Deep Learning Understanding and Practice
2023.02	AI·DATA SUMMIT 2023	Real-World Centric AI, (Video)
2019.08	NAVER	Machine Translation for everyone

Media Coverages (Press, Youtube, Blog)

Year	Headline	Press
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
2023.12	구글 건재 보여준 AI ‘제미나이’… 전문가 “GPT-4 능가하진 않아”	문화일보
2023.12	구글 ‘제미나이’로 AI 공세…평가는 “글쎄”	전자신문
2023.12	떠오르는 ‘미스트랄 7B’…‘라마 2’ 이어 한국어 모델 세대교체 주도	AI TIMES
2023.12	LLM 리더보드? 한국에는 ‘Open Ko-LLM’이 있다!	Upstage Youtube
2023.12	한국어 AI 경쟁력을 강화하는 ‘Open Ko-LLM 리더보드’	Upstage Tech Blog
2023.11	논문 쓰는 회사들… AI 기술기업들 유력 저널에 게재	서울신문
2023.11	강화학습법 ‘DPO’, ‘RLHF’ 대안으로 인기…마커AI 1위 탈환	AI TIMES
2023.10	‘글로벌 AI 규범, 민·관이 함께!’… 개인정보위, ‘인공지능 프라이버시 민·관 정책협의회’ 출범	AI TIMES 등 다수 언론사
2023.10	인공지능 자연어처리 세계 최고 기술 기업으로…업스테이지, NLP 최고 권위 EMNLP 2023에 논문 2편 채택	AI TIMES 등 다수 언론사
2023.10	마커AI, 차트를 점령하다…최초 1위는 옴니어스닷AI	AI TIMES
2023.09	NIA, 글로벌 LLM 플랫폼 ‘업스테이지’와 국내 ‘초거대 언어 모델’ 생태계 활성화에 기반 다진다!	인공지능신문
2023.09	한국어 데이터 토큰 1조개 함께 모으자	한겨레
2023.08	기업 맞춤용 챗GPT 쓰세요” 오픈AI 급하게 만든 이 숫자	중앙일보
2023.08	세계 1위 기술 증명…업스테이지에 ‘글로벌’은 도전 아닌 현실	AI TIMES
2023.08	챗GPT 제친 업스테이지 박찬준 리더 “협업이 AI 시장서 성패 가를 것”	이투데이
2023.08	업스테이지, 금융권 특화 생성형AI 접목 노하우 공개한다	뉴시스, 파이낸셜뉴스, 아시아투데이 등 다수 언론사
2023.07	AI시대, 데이터의 시대/박찬준 업스테이지 AI 리서치 엔지니어	서울신문
2023.07	데이터 AI 논문 7건, 세계적 학술지 채택	매일경제
2023.06	업스테이지, 글로벌 머신러닝 AI 학회서 논문 7편 채택	매일경제, 서울경제, 디지털투데이, 이코노믹리뷰 등 30개 이상 언론사
2023.04	Data-Centric AI 관점으로 재해석하는 자연언어처리 기반 History of AI	Upstage Tech Blog
2023.04	DMOps(Data Management Operation and Recipes), 현업에서 데이터 구축하기	Upstage Tech Blog
2023.04	Data-Centric AI와 Real-World	Upstage Tech Blog
2023.04	AI·DATA SUMMIT 2023-Real-World Centric AI	allshow TV Youtube
2022.05	성장성·유연한 조직문화에 반했죠	서울경제