--- title: "Donghyun Kwak — author profile and papers · Reasoning" description: "Donghyun Kwak: 2 papers on Elamur Research (2024–2026), h-index 10 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/donghyun-kwak/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/donghyun-kwak/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Donghyun Kwak # Donghyun Kwak Donghyun Kwak has 2 papers in our library, in 2024–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jaewook Kang](https://md.research.elamur.ai/free/en/authors/jaewook-kang/), [Jeongyeon Nam](https://md.research.elamur.ai/free/en/authors/jeongyeon-nam/), [Jiwoo Hong](https://md.research.elamur.ai/free/en/authors/jiwoo-hong/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5005340561) · [**h-index 10**](https://openalex.org/authors/A5005340561) · [26 works](https://openalex.org/works?filter=author.id:A5005340561) · [522 citations](https://openalex.org/works?filter=author.id:A5005340561&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/donghyun-kwak/#papers) · [🔗 Cited 108 times in our library](https://md.research.elamur.ai/free/en/authors/donghyun-kwak/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7409](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7409) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Donghyun+Kwak) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Donghyun+Kwak) · [dblp](https://dblp.org/search?q=Donghyun+Kwak) · [ACL Anthology](https://aclanthology.org/search/?q=Donghyun+Kwak) ## Affiliations [🏢**Naver** Seongnam-si · South Korea 2017–2023 · 11 papers](https://md.research.elamur.ai/free/en/companies/naver/) · [🏢**NAVER Cloud** Seongnam-si · South Korea 2021–2023 · 9 papers](https://md.research.elamur.ai/free/en/companies/naver-cloud/) · [🎓**Seoul National University** Seoul · South Korea 2017–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/seoul-national-university/) · [🎓**Korea Advanced Institute of Science and Technology** Daejeon · South Korea 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/korea-advanced-institute-of-science-and-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/donghyun-kwak/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/donghyun-kwak/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[HyperCLOVA X Technical Report](https://md.research.elamur.ai/free/en/papers/yoo-2024-hyperclova-x-technical-report/)** *(2024 · 44 citations)* Most large language models are built mainly for English and carry the cultural assumptions of English-speaking, especially North American, data. 2. **[Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/bae-2026-online-difficulty-filtering-reasoning-oriented/)** *(2026 · 22 citations)* Reinforcement learning with verifiable rewards (RLVR) can improve LLM reasoning, but binary rewards are sparse. ## All works 4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers ↗](https://aclanthology.org/2021.emnlp-main.274/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Boseop Kim et al.*2021 · 119 citations* 2. [**HyperCLOVA X Technical Report arXiv:2404.01954**Kang Min Yoo, Jaegeun Han, Sookyo In, et al.*2024 · 44 citations*](https://md.research.elamur.ai/free/en/papers/yoo-2024-hyperclova-x-technical-report/) 3. **[Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/bae-2026-online-difficulty-filtering-reasoning-oriented/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sanghwan Bae, Jiwoo Hong, Min Young Lee, et al.*2026 · 22 citations* 4. **[Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild? ↗](https://arxiv.org/abs/2212.10504) arXiv (Cornell University) · no summary yet**Sang-Woo Lee et al.*2022 · 2 citations* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Jaewook Kang](https://md.research.elamur.ai/free/en/authors/jaewook-kang/) - [Jeongyeon Nam](https://md.research.elamur.ai/free/en/authors/jeongyeon-nam/) - [Jiwoo Hong](https://md.research.elamur.ai/free/en/authors/jiwoo-hong/) - [Kang Min Yoo](https://md.research.elamur.ai/free/en/authors/kang-min-yoo/) - [Sungju Kim](https://md.research.elamur.ai/free/en/authors/sungju-kim/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 108 times (of the 149,439 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/donghyun-kwak/cited-by/). Updated 30 October 2026