Chanjun Park is a researcher in the field of Natural Language Processing (NLP), with a focus on Language Models (LLM), Data-Centric AI and Machine Translation. He is currently working as a Principal Research Engineer & Technical Leader at the Upstage. His current interests include forming an LLM-based ecosystem, and he has initiated projects such as Solar, Open Ko-LLM Leaderboard, Dataverse, Evalverse and Up 1 Trillion Token Club. In 2023, he received his Ph.D. from Korea University, supervised by Professor Heuiseok Lim, for his work on “Data-Centric Neural Machine Translation”. From 2018 to 2019, he worked at SYSTRAN as a Research Engineer. Chanjun is the founder and chief scientist 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, Program Chair for the WiNLP Workshop and Publication Chair for the DMLR Workshop. He has published more than 190 papers in the field of NLP. Finally, he is selected for Forbes 30 Under 30 Korea in the SCIENCE / SW field. See CV for more information.
My research philosophy is anchored in service-driven research, focusing on bridging the divide between foundational natural language processing (NLP) theories and their practical, real-world applications. I am committed to developing straightforward yet effective research methodologies that deliver immediate and tangible benefits to the industry, while also advancing our fundamental understanding of NLP. By emphasizing service-oriented research, I aim to address the industry pressing needs with innovative solutions that are both accessible and impactful. My recent primary interests lie in the development of efficient, purpose-trained Large Language Models (LLMs), with particular focus on: (1) fundamental capabilities of LLMs; (2) evaluation of LLMs; (3) foundational NLP research addressing recency and truthfulness in LLMs; (4) cross-lingual NLP; and (5) multidisciplinary NLP research that bridges disciplines to advance NLP applications. Through these avenues, I strive to contribute to both the academic and practical advancements in the field of NLP.
Upstage: Solar, sDPO, SAAS, Open Ko-LLM Leaderboard, Dataverse, Evalverse, Up 1 Trillion Token Club, MathGPT, E-Commerce LLM (with Connectwave), News LLM (BIG KINDS), Law LLM (with Law&Company), Medical LLM, Thai LLM, AskUp Biz, DMOps, Model-Based Data-Centric AI, LG U+ Semantic Search, Upstage AI Lab , Boostcamp, DeepLearning.AI
Korea University: Self-Improving-Leaderboard(SIL), ChatLang-8, Machine Translation for Training Data, Hyper-BTS, BTS, KEBAP, KoCommonGEN v2, Korean CommonGen, PU-GEN, LeVoc, Alternative Speech, PEEP-Talk, FreeTalky, PicTalky, XPT, KHSCP, KNOTICED, Generative Interpretation, CHEF, Critical Error Detection, Quality Estimation (QUAK), Explainable CED, Automatic Post Editing, Parallel Corpus Filtering (with Naver Papago), CCM (Domain Specialized NMT) with NSR, Evaluation Metrics for Machine Translation, Korean Fake News Detection, AI for Patents (with LG innotek), AI Student, Plain Template Insertion (with Hyundai Motors), Dialogue Summarization, VRB, BERTOEIC, ONE-Piece, Ancient Korean Neural Machine Translation, Grammar Error Correction, K-NCT, Korean Spelling Correction
SYSTRAN: Real-time Simultaneous Speech Translation, Neural Machine Translation, Grammar Error Correction (With Hello Talk), CJ Logistics AI Assistant
BUFS: Han-Tong-E, Exobrain, KoNLTK
ChatLang-8: An LLM-Based Synthetic Data Generation Framework for Grammatical Error Correction
Jeiyoon Park, Chanjun Park (✝), Heuiseok Lim (✝)
arxiv, 2024
Enhancing Consistency and Role-Specific Knowledge Capturing by Rebuilding Fictional Character’s Persona
Jeiyoon Park, Chanjun Park (✝), Heuiseok Lim (✝)
arxiv, 2024
Translation of Multifaceted Data without Re-Training of Machine Translation Systems
Hyeonseok Moon, Seungyoon Lee, Seongtae Hong, Seungjun Lee, Chanjun Park , Heuiseok Lim
arxiv, 2024
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 (✝)
arxiv, 2024
Evalverse: Unified and Accessible Library for Large Language Model Evaluation
Jihoo Kim, Wonho Song, Dahyun Kim, Yunsu Kim, Yungi Kim, Chanjun Park (✝)
arxiv, 2024
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
sDPO: Don’t Use Your Data All at Once
Dahyun Kim, Yungi Kim, Wonho Song, Hyeonwoo Kim, Yunsu Kim, Sanghoon Kim, Chanjun Park (✝)
arxiv, 2024
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
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
arxiv, 2022
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
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
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
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 Track
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
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
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
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
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
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
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
Improving Formality-Sensitive Machine Translation using Data-Centric Approaches and Prompt Engineering
Seugnjun Lee, Hyeonseok Moon, Chanjun Park, Heuiseok Lim
IWSLT 2023
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
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
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
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
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
Priming Ancient Korean Neural Machine Translation
Chanjun Park, Seolhwa Lee, Hyeonseok Moon, Sugyeong Eo, Jaehyung Seo, Heuiseok Lim
LREC 2022, Oral
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
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
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, Oral
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
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
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
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
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
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
DMOps: Data Management Operation and Recipes
Eujeong Choi, Chanjun Park (*, ✝)
ICML 2023 - Data-centric Machine Learning Research (DMLR) Workshop
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
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
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
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
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
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, Oral
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
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)
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
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
Automatic Knowledge Augmentation for Generative Commonsense Reasoning
Jaehyung Seo, Chanjun Park, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim
NeurIPS 2021 - Data-centric AI (DCAI) workshop
Syntax-enhanced Dialogue Summarization using Syntax-aware information
Seolhwa Lee, Kisu Yang, Chanjun Park, João Sedoc, Heuiseok Lim
NeurIPS 2021 - Women in Machine Learning workshop, Oral
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
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, Oral
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, Oral
Dealing with the Paradox of Quality Estimation
Sugyeong Eo (*), Chanjun Park (*), Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim
MT Summit 2021 - LoResMT, Oral
Data-Centric Neural Machine Translation - A Real-World Approaches
Chanjun Park
Ph.D. Thesis
Natural Langugae Processing Bible
HeuiSeok Lim, Korea University NLP&AI Lab
Human Science
METHOD FOR GENERATING TRAINING DATA AND METHOD FOR POST-PROCESSING OF SPEECH RECOGNITION USING THE SAME, Apply for a patent (17/739,383)
METHOD OF BUILDING TRAINING DATA OF MACHINE TRANSLATION, Apply for a patent (PCT/KR2021/012195)
DEVICE AND METHOD FOR GENERATING OF TRAINING DATA FOR QUALITY ESTIMATION IN MACHINE TRANSLATION, Granted Patent (10-2593447)
APPRATUS FOR CORPUS PROCESSING, APPARATUS AND METHOD AND MATHINE TRANSLATION, Granted Patent (10-2574167)
DEVICE AND METHOD FOR GENERATING TRAINING DATA FOR AUTOMATIC POST EDITING, Apply for a patent (10-2021-0118924)
DEVICE AND METHOD FOR GENERATING OPTIMAL TRANSLATION SUBTITLE USING QUALITY ESTIMATION, Apply for a patent (10-2021-0117011)
Improving speech recognition performance using TTS in domain-specific environment, Apply for a patent (10-2021-0028816)
Method For Generating Training Data And Method For Post-Processing Of Speech Recognition Using The Same, Granted Patent (10-2557810)
METHOD OF BUILDING TRAINING DATA OF MACHINE TRANSLATION, Granted Patent (10-2409667)
Correction performance evaluation metrics of neural network machine translation and method of constructing the same, Granted Patent (10-2390154)
APPARATUS AND METHOD FOR OUTPUTTING IMAGE CORRESPONDING TO LANGUAGE, Granted Patent (10-2476497)
METHOD OF TRANSLATING ANCIENT KOREAN USING MACHINE TRANSLATION, Granted Patent (10-2425922)
Device and method for correcting Korean spelling, Granted Patent (10-2430918)
Year | Award |
---|---|
2024.02 | Forbes 30 Under 30 Korea |
2023.10 | Best Paper Award, The 35th Annual Conference on Human & Cognitive Language Technology (HCLT2023) - Language Model 2 Section |
2023.10 | Best Paper Award, The 35th Annual Conference on Human & Cognitive Language Technology (HCLT2023) - Data Bias & Ethics Section |
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 |
Year | Place | Contents |
---|---|---|
2024.07 | Sungkyunkwan University | SOLAR: The Next Frontier in Large Language Models by Upstage and its Ecosystem |
2024.07 | TTA | 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 |
2024.06 | Kyungpook National University | The Ecosystem of LLMs from a Real-World Perspective |
2024.05 | Konkuk University | 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 | Chungnam National University | SOLAR: The Next Frontier in Large Language Models by Upstage and its Ecosystem |
2024.05 | AI Safety Compass Conference 2024 | Data and Evaluation Methods for Trustworthy AI |
2024.05 | Chonbuk National University | SOLAR: The Next Frontier in Large Language Models by Upstage and its Ecosystem |
2024.05 | TTA | LLM Evaluation and its Ecosystem |
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 |
2024.04 | Hallym University | SOLAR: The Next Frontier in Large Language Models by Upstage and its Ecosystem |
2024.04 | Korean Society of Artificial Intelligence in Medicine | Current state of Large-Scale Generative AI Development |
2024.04 | NIA | Open Ko-LLM Leaderboard and ites Ecosystem |
2024.02 | Korea University College of Medicine - Intelligent Medical Data Lab | SOLAR: The Next Frontier in Large Language Models by Upstage |
2024.02 | Fast Campus | Job Employment Special Lecture |
2024.02 | FuriosaAI | SOLAR: The Next Frontier in Large Language Models by Upstage |
2024.01 | The University of Tokyo - Center for Data-Driven Discovery | SOLAR: The Next Frontier in Large Language Models by Upstage |
2024.01 | Defense Agency for Technology and Quality (DTaQ) | Current State of Artificial Intelligence (AI) and Its Application Strategies in the Defense Sector |
2024.01 | National Library of Korea | Upstage LLM One Pager |
2023.12 | Ministry of Science and ICT - Data Utilization Council | Upstage LLM One Pager |
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 |
2023.11 | Digital Innovation Forum (Ministry of Culture, Sports and Tourism) | Generative AI era: Copyright issues and countermeasures |
2023.11 | Kyungpook National University | Upstage LLM One Pager |
2023.11 | Future Technology Exchange Conference in Southeast Region | Upstage LLM One Pager |
2023.11 | Jeju National University - Guest lecture | Upstage LLM One Pager |
2023.11 | Busan University of Foreign Studies | From Language Model to Large Language Model |
2023.11 | KB Kookmin Bank | Areas of Generative AI Application in Business |
2023.11 | Human-Inspired AI Research | Upstage LLM One Pager |
2023.10 | NIA | Upstage LLM and latest B2B LLM trends |
2023.09 | Woongjin Thinkbig | Upstage LLM One Pager |
2023.09 | Kyobo Life Insurance | Upstage and Private LLM |
2023.09 | HD Korea Shipbuilding & Offshore Engineering | Upstage and Private LLM |
2023.09 | Korea University - Guest lecture | From Language Model to Large Language Model |
2023.09 | HanYang University - Guest lecture | 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 |