About Me

Chanjun Park is a researcher in the field of Natural Language Processing (NLP), with a focus on Data-Centric AI, Machine Translation and Large Language Model (LLM). He is currently working as an Technical Leader (TL) at Upstage LLM Team. In 2023, he received Ph.D. from Korea University under the supervision of Professor Heuiseok Lim for the work on “Data-Centric Neural Machine Translation”. From 2018 to 2019, he worked at SYSTRAN as a Research Engineer. Chanjun is the founder and leader of the KU-NMT Group, and has received the Naver Ph.D. Fellowship in 2021. He served as the Virtual Social Chair at COLING 2022, and is currently serving as the Program Chair for the WiNLP Workshop. He has published more than 160 papers in the field of NLP. See CV for more information.

Research Interest

Large Language Model (LLM), Data-Centric AI, Machine Translation

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)
  

Professional Experience

• 2022.07 - Now: Upstage, Technical Leader (TL)
  
• 2022.03 - 2023.07: Upstage, AI Research Engineer
  
• 2018.09 - 2019.07: SYSTRAN, Research Engineer
  
• 2018.06 - 2018.08: SYSTRAN, Research Engineer Intern

Academic Services

• Program Chair: Widening NLP (WiNLP) Workshop
  
• Virtual Social Chair: COLING 2022
  
• Program committee: ICML 2023-Data-centric Machine Learning Research (DMLR), ACL 2023-Industry Track, ACL 2023-BEA, EACL 2023, EACL 2023-Insights, ACL 2022-Insights, NAACL 2022-Industry Track, Reviewer of ARR (2022~Current)
  
• Reviewer: IEEE Access, International Journal of Human-Computer Interaction, Cybernetics and Systems, Applied Sciences, Electronics, Entropy, Connection Science
  

Publications

Preprints

1. 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
   

2. Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models
   Suhyune Son, Chanjun Park, Jungseob Lee, Midan Shim, Chanhee Lee, Yoonna Jang, Jaehyung Seo, Heuiseok Lim (Equal Contribution(First Co-Author))
   arxiv, 2022
   

3. There is no rose without a thorn: Finding weaknesses on BlenderBot 2.0 in terms of Model, Data and User-Centric Approach
   Jungseob Lee, Suhyune Son, Midan Shim, Yujin Kim, Chanjun Park, Heuiseok Lim (Equal Contribution(First Co-Author))
   arxiv, 2022
   

Top Conference (Main / Workshop)

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

2. 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, 2023
   

3. 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, 2023
   

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

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

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

7. 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, 2023
   

8. 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 (Equal Contribution(First Co-Author))
   ICML 2023 - Data-centric Machine Learning Research (DMLR) Workshop, 2023
   

9. 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, 2023
   

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

11. 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 Track, 2023
    

12. 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 Track, 2022
    

13. 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 - EMNLP 2022, 2022
    

14. 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, 2022
    

15. Focus on FoCus: Is FoCus focused on Context, Knowledge and Persona?
    SeungYoon Lee, Jungseob Lee, Chanjun Park, Sugyeong Eo, Hyeonseok Moon, Jaehyung Seo, Jeongbae Park, Heuiseok Lim
    COLING 2022 - The 1st Workshop on Customized Chat Grounding Persona and Knowledge , 2022
    

16. A Self-Supervised Automatic Post-Editing Data Generation Tool
    Hyeonseok Moon, Chanjun Park, Sugyeong Eo, Jaehyung Seo, Seungjun Lee, Heuiseok Lim
    ICML 2022 - DataPerf workshop, 2022
    

17. 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, 2022
    

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

19. 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, 2022 - (Poster)
    

20. 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, 2022 - (Poster)
    

21. 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
    AAAI 2022 -Artificial Intelligence for Education(AI4EDU), 2022
    

22. How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus
    Chanjun Park, Seolhwa Lee, Hyeonseok Moon, Sugyeong Eo, Jaehyung Seo, Heuiseok Lim
    NeurIPS 2021 - Data-centric AI (DCAI) workshop, 2021
    

23. A New Tool for Efficiently Generating Quality Estimation Datasets
    Sugyeong Eo, Chanjun Park, Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim
    NeurIPS 2021 - Data-centric AI (DCAI) workshop, 2021
    

24. Automatic Knowledge Augmentation for Generative Commonsense Reasoning
    Jaehyung Seo, Chanjun Park, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim
    NeurIPS 2021 - Data-centric AI (DCAI) workshop, 2021
    

25. Syntax-enhanced Dialogue Summarization using Syntax-aware information
    Seolhwa Lee, Kisu Yang, Chanjun Park, João Sedoc, Heuiseok Lim
    NeurIPS 2021 - Women in Machine Learning (WiML 2021) workshop, 2021 - (Contributed Talk / Oral presentation)
    

26. Towards Syntax-Aware Dialogue Summarization using Multi-task Learning
    Seolhwa Lee, Kisu Yang, Chanjun Park, João Sedoc, Heuiseok Lim
    EMNLP 2021 -Widening NLP (WiNLP2021) workshop, 2021 - (Poster)
    

27. 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, 2021 - (Oral presentation)
    

28. 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 -WAT(Workshop on Asian Translation) 2021 Workshop, 2021 - (oral presentation)
    

29. Dealing with the Paradox of Quality Estimation
    Sugyeong Eo, Chanjun Park, Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim (Equal Contribution(First Co-Author))
    MT Summit 2021 - LoResMT, 2021 - (Oral presentation)
    

30. 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 Track, 2021- (Poster/Oral presentation)
    

International Journal (SCI/SCIE)

1. 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 (Equal Contribution(First Co-Author))
   IEEE Access, 2023
   

2. 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
   

3. A Survey on Evaluation Metrics for Machine Translation
   Seungjun Lee, Jungseob Lee, Hyeonseok Moon, Chanjun Park, Jaehyung Seo, Sugyeong Eo, Seonmin Koo, Heuiseok Lim
   Mathematics, 2023
   

4. K-NCT: Korean Neural Grammatical Error Correction Gold-Standard Test Set Using Novel Error Type Classification Criteria
   Seonmin Koo, Chanjun Park, Jaehyung Seo, Seungjun Lee, Hyeonseok Moon, Jungseob Lee, Heuiseok Lim (Equal Contribution(First Co-Author))
   IEEE Access, 2022
   

5. Plain Template Insertion: Korean-Prompt-based Engineering for Few-shot Learners
   Jaehyung Seo, Hyeonseok Moon, Chanhee Lee, Sugyeong Eo, Chanjun Park, Jihoon Kim, Changwoo Chun, Heuiseok Lim
   IEEE Access, 2022
   

6. The ASR post-processor performance challenges of BackTranScription (BTS) : Data-Centric and Model-Centric Approaches
   Chanjun Park, Jaehyung Seo, Seolhwa Lee, Chanhee Lee, Heuiseok Lim
   Mathematics, 2022
   

7. PU-GEN: Enhancing Generative Commonsense Reasoning for Language Models with Human-Centered Knowledge
   Jaehyung Seo, Dongsuk Oh, Sugyeong Eo, Chanjun Park, Kisu Yang, Hyeonseok Moon, Kinam Park, Heuiseok Lim
   Knowledge-Based Systems, 2022
   

8. Utilization Strategy of User Engagements in Korean Fake News Detection
   Myunghoon Kang, Jaehyung Seo, Chanjun Park, Heuiseok Lim
   IEEE Access, 2022
   

9. BERTOEIC: Solving TOEIC Problems Using Simple and Efficient Data Augmentation Techniques with Pretrained Transformer Encoders
   Jeongwoo Lee, Hyeonseok Moon, Chanjun Park, Jaehyung Seo, Sugyeong Eo, Heuiseok Lim
   Applied Sciences, 2022
   

10. Empirical Analysis of Parallel Corpora and in-depth Analysis using LIWC
    Chanjun Park, Midan Shim, Sugyeong Eo, Seolhwa Lee, Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim
    Applied Sciences, 2022
    

11. AI for Patents: A Novel yet Effective and Efficient Framework for Patent Analysis
    Junyoung Son, Hyeonseok Moon, Jeongwoo Lee, Seolhwa Lee, Chanjun Park, Wonkyung Jung, Heuiseok Lim
    IEEE Access, 2022
    

12. AI student: A Machine Reading Comprehension System for the Korean College Scholastic Ability Test
    Gyeongmin Kim, Soomin Lee, Chanjun Park, Jaechoon Jo
    Mathematics, 2022
    

13. Return on Advertising Spend Prediction with Task Decomposition based LSTM Model
    Hyeonseok Moon, Taemin Lee, Jaehyung Seo, Chanjun Park, Sugyeong Eo, Imatitikua D. AIyanyo, Jeongbae Park, Aram So, Kyoungwha Ok, Kinam Park
    Mathematics, 2022
    

14. Word-level Quality Estimation for Korean-English Neural Machine Translation
    Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, Heuiseok Lim (Equal Contribution(First Co-Author))
    IEEE Access, 2022
    

15. Dense-to-Question and Sparse-to-Answer: Hybrid Retriever System for Industrial Frequently Asked Questions
    Jaehyung Seo, Taemin Lee, Hyeonseok Moon, Chanjun Park, Sugyeong Eo, Imatitikua D AIyanyo, Kinam Park, Aram So, Sungmin Ahn, Jeongbae Park
    Mathematics, 2022
    

16. Mimicking Infants’ Bilingual Language Acquisition for Domain Specialized Neural Machine Translation
    Chanjun Park, Woo-Young Go, Sugyeong Eo, Hyeonseok Moon, Seolhwa Lee, Heuiseok Lim
    IEEE Access, 2022
    

17. An Automatic Post Editing with Efficient and Simple Data Generation Method
    Hyeonseok Moon, Chanjun Park, Jaehyung Seo, Sugyeong Eo, Heuiseok Lim (Equal Contribution(First Co-Author))
    IEEE Access, 2022
    

18. Who speaks like a style of Vitamin: Towards Syntax-Aware Dialogue Summarization using Multi-task Learning
    Seolhwa Lee, Kisu Yang, Chanjun Park, João Sedoc, Heuiseok Lim
    IEEE Access, 2021
    

19. Grounded Vocabulary for Image Retrieval Using a Modified Multi-Generator Generative Adversarial Network
    Kuekyeng Kim, Chanjun Park, Jaehyung Seo, Heuiseok Lim
    IEEE Access, 2021
    

20. An Empirical Study on Automatic Post Editing for Neural Machine Translation
    Hyeonseok Moon, Chanjun Park, Sugyeong Eo, Jaehyung Seo, Heuiseok Lim (Equal Contribution(First Co-Author))
    IEEE Access, 2021
    

21. Variational Reward Estimator Bottleneck: Towards Robust Reward Estimator for Multi-Domain Task-Oriented Dialogue
    Jeiyoon Park, Chanhee Lee, Chanjun Park, Kuekyeng Kim, Heuiseok Lim
    Applied Sciences, 2021
    

22. Comparative Analysis of Current Approaches to Quality Estimation for Neural Machine Translation
    Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, Heuiseok Lim (Equal Contribution(First Co-Author))
    Applied Sciences, 2021
    

23. Exploring the Data Efficiency of Cross-Lingual Post-Training in Pretrained Language Models
    Chanhee Lee, Kisu Yang, Taesun Whang, Chanjun Park, Andrew Matteson, Heuiseok Lim
    Applied Sciences, 2021
    

24. Decoding Strategies for Improving Low-Resource Machine Translation
    Chanjun Park, YeongWookYang, Kinam Park, Heuiseok Lim
    Electronics, 2020
    

25. Ancient Korean Neural Machine Translation
    Chanjun Park, Chanhee Lee, YeongWookYang, Heuiseok Lim
    IEEE Access, 2020
    

26. Comparison of the evaluation metrics for Neural Grammatical Error Correction with Overcorrection
    Chanjun Park, YeongWookYang, Chanhee Lee, Heuiseok Lim
    IEEE Access, 2020
    

27. Neural Spelling Correction: Translating Incorrect sentences to Correct sentences for Multimedia
    Chanjun Park, Kuekyeng Kim, YeongWookYang, Minho Kang, Heuiseok Lim
    Multimedia Tools and Applications, 2020
    

International & Domestic Conference

• Domestic Journal (KCI): 20 papers
  
• Domestic Conference: 57 papers
  
• International Conference (Excluding Top-Conference): 30 papers
  

Book Chapters

1. Data-Centric Neural Machine Translation - A Real-World Approaches
   Chanjun Park
   Ph.D. Thesis
   

2. Natural Langugae Processing Bible
   HeuiSeok Lim, Korea University NLP&AI Lab
   Human Science

International Patents

1. METHOD FOR GENERATING TRAINING DATA AND METHOD FOR POST-PROCESSING OF SPEECH RECOGNITION USING THE SAME
   HeuiSeok Lim, Chanjun Park
   Apply for a patent (17/739,383)
   

2. METHOD OF BUILDING TRAINING DATA OF MACHINE TRANSLATION
   HeuiSeok Lim, Chanjun Park
   Apply for a patent (PCT/KR2021/012195)
   

Domestic Patents

1. DEVICE AND METHOD FOR GENERATING OF TRAINING DATA FOR QUALITY ESTIMATION IN MACHINE TRANSLATION
   HeuiSeok Lim, Sugyeong Eo, Chanjun Park, Hyeonseok Moon
   Apply for a patent (10-2021-0156657)
   

2. APPRATUS FOR CORPUS PROCESSING, APPARATUS AND METHOD AND MATHINE TRANSLATION
   Chanjun Park, HeuiSeok Lim
   Granted Patent (10-2574167)
   

3. DEVICE AND METHOD FOR GENERATING TRAINING DATA FOR AUTOMATIC POST EDITING
   HeuiSeok Lim, Hyeonseok Moon, Chanjun Park, Sugyeong Eo
   Apply for a patent (10-2021-0118924)
   

4. DEVICE AND METHOD FOR GENERATING OPTIMAL TRANSLATION SUBTITLE USING QUALITY ESTIMATION
   HeuiSeok Lim, Chanjun Park
   Apply for a patent (10-2021-0117011)
   

5. Improving speech recognition performance using TTS in domain-specific environment
   HeuiSeok Lim, Chanjun Park
   Apply for a patent (10-2021-0028816)
   

6. Method For Generating Training Data And Method For Post-Processing Of Speech Recognition Using The Same
   HeuiSeok Lim, Chanjun Park
   Granted Patent (10-2557810)
   

7. METHOD OF BUILDING TRAINING DATA OF MACHINE TRANSLATION
   HeuiSeok Lim, Chanjun Park
   Granted Patent (10-2409667)
   

8. Correction performance evaluation metrics of neural network machine translation and method of constructing the same
   HeuiSeok Lim, Chanjun Park
   Granted Patent (10-2390154)
   

9. APPARATUS AND METHOD FOR OUTPUTTING IMAGE CORRESPONDING TO LANGUAGE
   HeuiSeok Lim, Chanjun Park, Yanghee Kim
   Granted Patent (10-2476497)
   

10. METHOD OF TRANSLATING ANCIENT KOREAN USING MACHINE TRANSLATION
    HeuiSeok Lim, Chanjun Park
    Granted Patent (10-2425922)
    

11. Device and method for correcting Korean spelling
    HeuiSeok Lim, Chanjun Park
    Granted Patent (10-2430918)
    

Teaching

1. Language Model to Large Language Model (LM to LLM), Instructor, Fast Campus. (2023)
   
2. Natural Language Processing (NLP) Basic, Instructor, Fast Campus. (2023)
   
3. Learning ChatGPT Utilization and Service Construction with AskUP, Instructor, Fast Campus. (2023)
   
4. Finance Specialized Large Language Model for Everyone, Instructor, Upstage Online Course. (2023)
   
5. Data-Centric NLP, Master (Instructor), BoostCamp - NAVER Connect Foundation. (2023)
   
6. Introduction to Natural Language Processing in Big Data (BDC101), Teaching Assistant, Korea Univ. (Autumn 2021)
   
7. Introduction to Natural Language Processing in Big Data (BDC101), Head Teaching Assistant, Korea Univ. (Autumn 2020)
   
8. Natural Language Processing for Digital Finance Engineering (DFE610), Head Teaching Assistant, Korea Univ. (Autumn 2020)
   
9. Natural Language Processing (COSE461), Teaching Assistant, Korea Univ. (Spring 2020)
   
10. Artificial Intelligence and Natural Language Processing (DFC615), Teaching Assistant, Korea Univ. (Spring 2020)
    

Honors & Awards

Year	Award
2023.02	Best Paper Award, Korea University
2023.02	Research Encouragement Scholarship, Korea University
2022.12	1st place in Quality Estimation Shared Task 2022 - Sentence-level “Critical Error Detection”, WMT 2022 (EMNLP 2022)
2022.10	Best Paper Award, The 34th Annual Conference on Human & Cognitive Language Technology (HCLT2022)
2021.12	Naver Ph.D. Fellowship 2021
2021.10	Best Paper Award, The 33rd Annual Conference on Human & Cognitive Language Technology (HCLT2021) - NLP Application 2 Section
2021.10	Best Paper Award, The 33rd Annual Conference on Human & Cognitive Language Technology (HCLT2021) - Language Resource Section
2021.10	Best Paper Award, The 33rd Annual Conference on Human & Cognitive Language Technology (HCLT2021) - QA and Speech Section
2021.07	Ranked 4th on the CommonGen 1.1 Leaderboard (Nov. 2022 Ranked 7th, CommonGen 1.1)
2020.11	1st Place in Flitto Hackathon (Team Lead)
2020.10	Best Paper Award, The 32nd Annual Conference on Human & Cognitive Language Technology (HCLT2020)
2020.05	Best practices for using NIA AI training data(Korean-English Neural Machine Translation model), NIA
2019.10	Best Paper Award, The 31st Annual Conference on Human & Cognitive Language Technology (HCLT2019)
2019.10	1st Place Microsoft AI Accessibility Hackathon in Korea (Team Lead), Microsoft
2019.03	Graduate School Associate Scholarship, Sungkyunkwan University
2018.10	Next Generation Information Processing NLP Competition 2018: Participation Award, Next-generation information computing technology development business
2017.06	Bit Computer Excellence Award (President Award), Bit Computer
2017.12	Scholarship for academic excellence, Sooyoungro Church
2016.12	Scholarship for academic excellence, Sooyoungro Church
2015.03	Full Scholarship, BUFS

Invited Talk

Year	Place	Contents
2023.10	NIA	Upstage LLM and latest B2B LLM trends
2023.09	Kyobo Life Insurance	Upstage and Private LLM
2023.09	HD Korea Shipbuilding & Offshore Engineering	Upstage and Private LLM
2023.09	Korea University	From Language Model to Large Language Model
2023.09	HanYang University	From Language Model to Large Language Model
2023.09	Korea Institute of Patent Information	Upstage LLM and latest B2B LLM trends
2023.09	AGI Town in Seoul	The use case of solving customer problems using LLM
2023.09	Fast Campus	Job Employment Special Lecture
2023.08	HD Korea Shipbuilding & Offshore Engineering	Upstage LLM and latest B2B LLM trends
2023.08	Upstage Webinar	The Future of Finance/Insurance Transformed by Generative AI
2023.08	Google I/O Extended 2023 Incheon	From Language Model to Large Language Model
2023.07	POSCO RIST	Data-Centric AI in Real-World
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
2023.07	Jeju National University	Real-World Artificial Intelligence and Large Language Model for Everyone
2023.06	AI EDucation Alliance Policy lab (AIEDAP)	Deep Learning Understanding and Practice
2023.05	KIDA (Korea Institute for Defense Analysis)	Data-Centric AI in the Large Language Model Era
2023.04	Upstage	NLP based Large Language Model for All
2023.02	AI·DATA SUMMIT 2023	Real-World Centric AI, (Video)
2022.12	Sunmoon University	Real-World Centric AI
2022.08	Kyungsung University	Language and Information Studies and the Future of Artificial Intelligence
2022.07	Hankuk University of Foreign Studies	Basic practice of natural language processing for everyone
2022.01	Dongguk University	Artificial intelligence and Machine Translation
2021.07	Busan Social Welfare Development Group	Attending advisory meetings and Focus Group Interview
2020.03	LLsoLLu	Latest natural language processing Research
2020.02	NC SOFT	Technology Transfer Seminar
2020.01	Dongguk University	A.I - NLP - MT for Liberal Arts
2019.10-2019.11	SKC	Text Preprocessing, Machine Translation, Language Embedding
2019.08	SK T Academy	Machine Translation for everyone
2019.08	NAVER	Machine Translation for everyone

Advisor & Mentoring

Year	Place	Contents
2023.08	Software Policy & Research Institute	Generative AI, Large Language Model (Advisor)
2023.08	elice	AI Edu Hackathon (Mentoring)

Newspaper Article (Press)

Year	Headline	Press
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
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