--- title: "Jaewoo Kang · Korea University — author profile and papers" description: "Jaewoo Kang, Korea University: 5 papers on Elamur Research (2019–2023), h-index 50 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/jaewoo-kang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jaewoo-kang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jaewoo Kang # Jaewoo Kang Jaewoo Kang has 5 papers in our library, in 2019–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Jinhyuk Lee](https://md.research.elamur.ai/free/en/authors/jinhyuk-lee/), [Sungdong Kim](https://md.research.elamur.ai/free/en/authors/sungdong-kim/), [Gangwoo Kim](https://md.research.elamur.ai/free/en/authors/gangwoo-kim/). 5 papers in our library · 2019–2023 [OpenAlex](https://openalex.org/A5076917278) · [ORCID](https://orcid.org/0000-0001-6798-9106) · [Wikidata](https://www.wikidata.org/wiki/Q59696328) · [**h-index 50**](https://openalex.org/authors/A5076917278) · [298 works](https://openalex.org/works?filter=author.id:A5076917278) · [16,506 citations](https://openalex.org/works?filter=author.id:A5076917278&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/jaewoo-kang/#papers) · [🔗 Cited 1,446 times in our library](https://md.research.elamur.ai/free/en/authors/jaewoo-kang/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #304](https://md.research.elamur.ai/free/en/paper-stars/page/4/#star-304) 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=Jaewoo+Kang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jaewoo+Kang) · [dblp](https://dblp.org/search?q=Jaewoo+Kang) · [ACL Anthology](https://aclanthology.org/search/?q=Jaewoo+Kang) ## Affiliations [🎓**Korea University** Seoul · South Korea 2006–2026 · 256 papersEducation until 1994Employment since 2006 · Professor, Computer Science*current*](https://md.research.elamur.ai/free/en/universities/korea-university/) · [🎓**Korea University** Tokyo · Japan 2018–2026 · 17 papers*current*](https://ror.org/05m1gnk07) · [🎓**Anyang University** Anyang-si · South Korea 2026 · 1 paper*current*](https://ror.org/018pdh902) · [🎓**North Carolina State University** Raleigh · United States 2005–2007 · 14 papers](https://md.research.elamur.ai/free/en/universities/north-carolina-state-university/) · [🎓**University of Colorado Anschutz** Aurora · United States 2013–2015 · 3 papers](https://ror.org/03wmf1y16) · [🏢**NAVER Cloud** Seongnam-si · South Korea 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/naver-cloud/) · [🎓**Princeton University** Princeton · United States 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🎓**University of Wisconsin–Madison** Madison · United States 1998–2004 · 2 papersEducation 1998–2003 · Ph.d, Computer science](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/) · [🏢**AT&T** Bedminster · United States 1997 · 2 papers](https://md.research.elamur.ai/free/en/companies/at-t/) · [🎓**University of Colorado Boulder** Boulder · United States 1994–1996Education 1994–1996](https://md.research.elamur.ai/free/en/universities/university-of-colorado-boulder/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Biochemistry, Genetics and Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2023** 1 paper Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/kim-2023-tree-clarifications-answering-ambiguous-questions/) · [**2021** 2 papers Jaewoo Kang's papers of 2021](https://md.research.elamur.ai/free/en/authors/jaewoo-kang/year/2021/) · [**2020** 1 paper Look at the First Sentence: Position Bias in Question Answering](https://md.research.elamur.ai/free/en/papers/ko-2020-look-first-sentence-position-bias/) ### 2010s [**2019** 1 paper BioBERT: a pre-trained biomedical language representation model for biomedical text mining](https://md.research.elamur.ai/free/en/papers/lee-2019-biobert-pre-trained-biomedical-language/) ## Papers The most cited first (OpenAlex and our library). 1. **[BioBERT: a pre-trained biomedical language representation model for biomedical text mining](https://md.research.elamur.ai/free/en/papers/lee-2019-biobert-pre-trained-biomedical-language/)** *(2019 · 8,311 citations)* Biomedical literature grows faster than researchers can read it, so automatic text mining matters more each year. 2. **[Can Language Models be Biomedical Knowledge Bases?](https://md.research.elamur.ai/free/en/papers/sung-2021-can-language-models-be-biomedical/)** *(2021 · 127 citations)* This work asks whether pre-trained language models can act as knowledge bases for expert biomedical facts, rather than the general trivia tested by LAMA. 3. **[Learning Dense Representations of Phrases at Scale](https://md.research.elamur.ai/free/en/papers/lee-2021-learning-dense-representations-phrases-scale/)** *(2021 · 126 citations)* DensePhrases tackles open-domain question answering as retrieval over a pre-built index of phrases. It does not run a reader model over retrieved documents at query time. Earlier phrase-retrieval systems (DenSPI, DenSPI + Sparc) relied on sparse vectors and still trailed retriever-reader pipelines. The authors ask… 4. **[Look at the First Sentence: Position Bias in Question Answering](https://md.research.elamur.ai/free/en/papers/ko-2020-look-first-sentence-position-bias/)** *(2020 · 102 citations)* Extractive QA models usually output start and end indices of an answer span. The authors ask whether this design lets models exploit answer location instead of reading. They build deliberately skewed training sets from SQuAD in which every answer sits in the same sentence (mainly the first). When trained this way… 5. **[Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/kim-2023-tree-clarifications-answering-ambiguous-questions/)** *(2023 · 82 citations)* Open-domain questions are often ambiguous: one query can admit several readings, each with its own answer. ## All works 12 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. **[BioBERT: a pre-trained biomedical language representation model for biomedical text mining](https://md.research.elamur.ai/free/en/papers/lee-2019-biobert-pre-trained-biomedical-language/) [Bioinformatics](https://md.research.elamur.ai/free/en/venues/bioinformatics/)**Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, et al.*2019 · 8,311 citations* 2. **[Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models](https://arxiv.org/abs/2401.15269) arXiv:2401.15269 · original ↗ · no summary yet**Minbyul Jeong et al.*2024 · 164 citations* 3. **[Can Language Models be Biomedical Knowledge Bases?](https://md.research.elamur.ai/free/en/papers/sung-2021-can-language-models-be-biomedical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mujeen Sung, Jinhyuk Lee, Sean Yi, et al.*2021 · 127 citations* 4. **[Learning Dense Representations of Phrases at Scale](https://md.research.elamur.ai/free/en/papers/lee-2021-learning-dense-representations-phrases-scale/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, et al.*2021 · 126 citations* 5. **[Look at the First Sentence: Position Bias in Question Answering](https://md.research.elamur.ai/free/en/papers/ko-2020-look-first-sentence-position-bias/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Miyoung Ko, Jinhyuk Lee, Hyunjae Kim, et al.*2020 · 102 citations* 6. **[Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/kim-2023-tree-clarifications-answering-ambiguous-questions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Gangwoo Kim, Sungdong Kim, Byeongguk Jeon, et al.*2023 · 82 citations* 7. **[Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks](https://arxiv.org/abs/2404.00376) arXiv:2404.00376 · original ↗ · no summary yet**Hyunjae Kim et al.*2024 · 75 citations* 8. **[CompAct: Compressing Retrieved Documents Actively for Question Answering](https://aclanthology.org/2024.emnlp-main.1194/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yet**Chanwoong Yoon et al.*2024 · 33 citations* 9. **[Fine-tuning CLIP Text Encoders with Two-step Paraphrasing](https://aclanthology.org/2024.findings-eacl.144/) Findings of the Association for Computational Linguistics: EACL 2024 · original ↗ · no summary yet**Hyunjae Kim et al.*2024 · 3 citations* 10. **[ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway](https://aclanthology.org/2026.findings-acl.977/) Findings of the Association for Computational Linguistics: ACL 2026 · original ↗ · no summary yet**Jueon Park et al.*2026* 11. **[CLAG: Adaptive Memory Organization via Agent-Driven Clustering for Small Language Model Agents](https://aclanthology.org/2026.findings-acl.824/) Findings of the Association for Computational Linguistics: ACL 2026 · original ↗ · no summary yet**Taeyun Roh et al.*2026* 12. **[Lack of Fluency is Hurting Your Translation Model](https://arxiv.org/abs/2205.11826) arXiv:2205.11826 · original ↗ · no summary yet**Jaehyo Yoo, Jaewoo Kang*2022* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Jinhyuk Lee](https://md.research.elamur.ai/free/en/authors/jinhyuk-lee/) ×4 - [Sungdong Kim](https://md.research.elamur.ai/free/en/authors/sungdong-kim/) ×3 - [Gangwoo Kim](https://md.research.elamur.ai/free/en/authors/gangwoo-kim/) ×2 - [Mujeen Sung](https://md.research.elamur.ai/free/en/authors/mujeen-sung/) ×2 - [Danqi Chen](https://md.research.elamur.ai/free/en/authors/danqi-chen/) - [Joonsuk Park](https://md.research.elamur.ai/free/en/authors/joonsuk-park/) - [Wonjin Yoon](https://md.research.elamur.ai/free/en/authors/wonjin-yoon/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×4: [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/), [EMNLP 2021](https://md.research.elamur.ai/free/en/venues/emnlp/2021/), [EMNLP 2020](https://md.research.elamur.ai/free/en/venues/emnlp/2020/) - Findings of the Association for Computational Linguistics: ACL 2026 ×2 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) - [Bioinformatics](https://md.research.elamur.ai/free/en/venues/bioinformatics/): [Bioinformatics 2019](https://md.research.elamur.ai/free/en/venues/bioinformatics/2019/) - Findings of the Association for Computational Linguistics: EACL 2024 ## Cited by Papers of our library cite their works 1,446 times (of the 141,840 papers whose bibliographies we read); [88 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jaewoo-kang/cited-by/). Updated 24 October 2026