🧑‍🔬 Chanjun Park

🏛️ Affiliations

🎓Soongsil UniversitySeoul · South Korea2025–2026 · 17 papersEmployment since 2025 · Assistant Professor, School of Softwarecurrent🎓Korea UniversitySeoul · South Korea2019–2025 · 62 papersEducation 2019–2023 · Ph.D, Computer Science and EngineeringEmployment 2024–2025 · Research Professor🏢UpStageYongin-si · South Korea2021–2024 · 49 papersEmployment 2022–2024 · Tech Leader; Principal Research Engineer🎓Korea UniversityTokyo · Japan2020–2025 · 12 papers

🏛️SYSTRANSouth Korea · South Korea2018–2019Employment 2018–2019 · Research Engineer

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling (2023 · 77 citations)
   Scaling up LLMs usually means training ever-larger networks or adopting mixture-of-experts designs, which complicate training and inference pipelines.
2. sDPO: Don't Use Your Data All at Once (2024 · 19 citations)
   Direct Preference Optimization (DPO) aligns an LLM by comparing its log-probability ratios for chosen and rejected responses against those of a frozen reference model.
3. PEEP-Talk: A Situational Dialogue-based Chatbot for English Education (2023 · 9 citations)
   Learners of English as a foreign language rarely get to practise realistic conversation. Existing tutoring chatbots tend to be rule-based, cope poorly with off-topic input, and give little feedback. PEEP-Talk addresses this with three parts:

All works

10 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-ScalingarXiv:2312.15166Dahyun Kim, Chanjun Park, Sanghoon Kim, et al.2023 · 77 citations
2. sDPO: Don't Use Your Data All at OncearXiv:2403.19270Dahyun Kim, Yungi Kim, Wonho Song, et al.2024 · 19 citations
3. Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering ↗Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023) · no summary yetSeungjun Lee et al.2023 · 11 citations
4. PEEP-Talk: A Situational Dialogue-based Chatbot for English EducationAnnual Meeting of the Association for Computational Linguistics (ACL)Seungjun Lee, Yoonna Jang, Chanjun Park, et al.2023 · 9 citations
5. Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop) · no summary yetDahyun Jung et al.2024 · 5 citations
6. KU X Upstage's Submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task ↗Proceedings of the Seventh Conference on Machine Translation (WMT) · no summary yetSugyeong Eo et al.2022 · 5 citations
7. Debate Only When Necessary: Adaptive Multiagent Collaboration for Efficient LLM Reasoning ↗arXiv:2504.05047 · no summary yetSugyeong Eo et al.2025 · 4 citations
8. Data-Driven Approach for Formality-Sensitive Machine Translation: Language-Specific Handling and Synthetic Data Generation ↗arXiv:2306.14514 · no summary yetSeugnjun Lee et al.2023 · 1 citation
9. QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation ↗Proceedings of the 29th International Conference on Computational Linguistics · no summary yetSugyeong Eo et al.2022 · 1 citation
10. The Blindness of Document-Level Translation Evaluation ↗arXiv:2609.05949 · no summary yetAhrii Kim et al.2026

🤝 Co-authors here

9 co-authors with a page, the most papers together first.

• Dahyun Kim ×2
• Hyeonwoo Kim ×2
• Sanghoon Kim ×2
• Wonho Song ×2
• Yungi Kim ×2
• Yunsu Kim ×2
• Heuiseok Lim
• Hyeonseok Moon
• Jaehyung Seo

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2023
• Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
• Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
• Proceedings of the 29th International Conference on Computational Linguistics
• Proceedings of the Seventh Conference on Machine Translation (WMT)

🔗 Cited by

Papers of our library cite their works 115 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated 1 November 2026

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