Publications

Equal contribution: *, Corresponding author : †

• AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots
  Xinjie Zhao, Moritz Blum, Fan Gao, Yingjian Chen, Boming Yang, Luis Marquez-Carpintero, Mónica Pina-Navarro, Yanran Fu, So Morikawa, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park, Irene Li
  CIKM 2025-Demo

• HealthGenie: An Interactive Knowledge-Driven LLM Framework for Tailored Dietary Guidance
  Fan Gao, Xinjie Zhao, Ding Xia, Zhongyi Zhou, Rui Yang, Jinghui Lu, Hang Jiang, Chanjun Park, Irene Li
  CIKM 2025-Demo

• 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

• Enhancing Automatic Term Extraction in Large Language Models via Syntactic Retrieval
  Yongchan Chun, Minhyuk Kim, Dongjun Kim, Chanjun Park †, Heuiseok Lim †
  ACL 2025-Findings

• 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

• 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)

• CoME: A Unlearning-based Approach to Conflict-free Model Editing
  Dahyun Jung, Jaehyung Seo, Jaewook Lee, Chanjun Park †, Heuiseok Lim †
  NAACL 2025

• MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation
  Chanhee Park, Hyeonseok Moon, Chanjun Park †, Heuiseok Lim †
  NAACL 2025-Findings

• 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

• 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

• 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

• Understanding LLM Development Through Longitudinal Study: Insights from the Open Ko-LLM Leaderboard
  Chanjun Park †, Hyeonwoo Kim
  NAACL 2025 - Industry, 2025

• CharacterGPT: A Persona Reconstruction Framework for Role-Playing Agents
  Jeiyoon Park, Chanjun Park †, Heuiseok Lim †
  NAACL 2025 - Industry, 2025 (Oral)

• 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

• 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

• 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

• 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 (SCIE, Q1), 2025

• 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

• 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

• 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

• 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

• 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

• Proceedings of the Eighth Widening NLP Workshop (WiNLP 2024)
  Atnafu Lambebo Tonja, Alfredo Gomez, Chanjun Park, Hellina Hailu Nigatu, Santosh T.Y.S.S, Tanvi Anand, Wiem Ben Rim
  EMNLP 2024 - Widening NLP Workshop

• 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

• 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

• 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

• 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

• Data-centric Machine Learning Research (DMLR): Harnessing Momentum for Science
  Manil Maskey, Lilith Bat-Leah, Danilo Brajovic, Paolo Climaco, Alicia Parrish, Chanjun Park, Xiaozhe Yao, Holger Caesar, Bernard Koch, Fatimah Alzamzami, Zhangyang Wang, Jerone Andrews, Praveen Paritosh, Steffen Vogler, Mayee F Chen, Sang T. Truong, Bolei Ma
  ICLR 2024 Workshops

• 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

• 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 (SCIE), 2024

• 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

• 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

• 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

• 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 (SCIE, Q1), 2023

• 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 (SCIE), 2023

• 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

• 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

• 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

• 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

• 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

• 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
  AAAI 2022 -Artificial Intelligence for Education (AI4EDU)

• 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

• 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 (SCIE, Q1), 2022

• 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
  IEEE Access (SCIE), 2022

• 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 (SCIE), 2022

• Utilization Strategy of User Engagements in Korean Fake News Detection
  Myunghoon Kang, Jaehyung Seo, Chanjun Park, Heuiseok Lim
  IEEE Access (SCIE), 2022

• 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 (SCIE), 2022

• Word-level Quality Estimation for Korean-English Neural Machine Translation
  Sugyeong Eo *, Chanjun Park *, Hyeonseok Moon, Jaehyung Seo, Heuiseok Lim
  IEEE Access (SCIE), 2022

• 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 (SCIE), 2022

• An Automatic Post Editing with Efficient and Simple Data Generation Method
  Hyeonseok Moon *, Chanjun Park *, Jaehyung Seo, Sugyeong Eo, Heuiseok Lim
  IEEE Access (SCIE), 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

• 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

• 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

• 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

• 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

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

• 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)

• 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 (SCIE), 2021

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

• An Empirical Study on Automatic Post Editing for Neural Machine Translation
  Hyeonseok Moon *, Chanjun Park *, Sugyeong Eo, Jaehyung Seo, Heuiseok Lim
  IEEE Access (SCIE), 2021

• Ancient Korean Neural Machine Translation
  Chanjun Park, Chanhee Lee, YeongWookYang, Heuiseok Lim
  IEEE Access (SCIE), 2020

• Comparison of the evaluation metrics for Neural Grammatical Error Correction with Overcorrection
  Chanjun Park, YeongWookYang, Chanhee Lee, Heuiseok Lim
  IEEE Access (SCIE), 2020

• Neural Spelling Correction: Translating Incorrect sentences to Correct sentences for Multimedia
  Chanjun Park *, Kuekyeng Kim *, YeongWookYang, Minho Kang, Heuiseok Lim
  Multimedia Tools and Applications (SCIE, Q1), 2020

Please see Professor Chanjun Park's CV or Google Scholar profiles for the full list.