--- title: "Jongwoo Ko — author profile and papers — Elamur Research" description: "Jongwoo Ko, Microsoft: 3 papers on Elamur Research (2024–2026), h-index 6 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jongwoo-ko/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jongwoo-ko/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jongwoo Ko # Jongwoo Ko Jongwoo Ko has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Se-Young Yun](https://md.research.elamur.ai/free/en/authors/se-young-yun/), [Sungnyun Kim](https://md.research.elamur.ai/free/en/authors/sungnyun-kim/), [Tianyi Chen](https://md.research.elamur.ai/free/en/authors/tianyi-chen/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5028394311) · [**h-index 6**](https://openalex.org/authors/A5028394311) · [37 works](https://openalex.org/works?filter=author.id:A5028394311) · [166 citations](https://openalex.org/works?filter=author.id:A5028394311&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jongwoo-ko/#papers) · [🔗 Cited 168 times in our library](https://md.research.elamur.ai/free/en/authors/jongwoo-ko/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6234](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6234) 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=Jongwoo+Ko) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jongwoo+Ko) · [dblp](https://dblp.org/search?q=Jongwoo+Ko) · [ACL Anthology](https://aclanthology.org/search/?q=Jongwoo+Ko) ## Affiliations [🏢**Microsoft** Redmond · United States 2024–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Korea Advanced Institute of Science and Technology** Daejeon · South Korea 2021–2024 · 15 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. 1 more institution on single bylines are not listed. ## 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [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/jongwoo-ko/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jongwoo-ko/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jongwoo-ko/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[DistiLLM: Towards Streamlined Distillation for Large Language Models](https://md.research.elamur.ai/free/en/papers/ko-2024-distillm-towards-streamlined-distillation-large/)** *(2024 · 112 citations)* DistiLLM tackles knowledge distillation (KD) for auto-regressive language models, where a large teacher LLM is compressed into a smaller student. 2. **[DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs](https://md.research.elamur.ai/free/en/papers/ko-2025-distillm-2-contrastive-approach-boosts/)** *(2025 · 32 citations)* Knowledge distillation (KD) for LLMs usually applies the same divergence to teacher-generated outputs (TGOs) and student-generated outputs (SGOs). 3. **[From Belief Entrenchment to Robust Reasoning in LLM Agents](https://md.research.elamur.ai/free/en/papers/oh-2026-belief-entrenchment-robust-reasoning-llm/)** *(2026 · 2 citations)* Multi-Agent Debate (MAD), where several LLM instances critique one another at inference time, is often expected to repair reasoning errors. ## All works 5 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. [**DistiLLM: Towards Streamlined Distillation for Large Language Models arXiv:2402.03898**Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.*2024 · 112 citations*](https://md.research.elamur.ai/free/en/papers/ko-2024-distillm-towards-streamlined-distillation-large/) 2. [**DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs arXiv:2503.07067**Jongwoo Ko, Tianyi Chen, Sungnyun Kim, et al.*2025 · 32 citations*](https://md.research.elamur.ai/free/en/papers/ko-2025-distillm-2-contrastive-approach-boosts/) 3. **[Scaling Reasoning Efficiently via Relaxed On-Policy Distillation ↗](https://arxiv.org/abs/2603.11137) arXiv:2603.11137 · no summary yet**Jongwoo Ko et al.*2026 · 18 citations* 4. **[Beyond correlation: The Impact of Human Uncertainty in Measuring the Effectiveness of Automatic Evaluation and LLM-as-a-Judge ↗](https://arxiv.org/abs/2410.03775) arXiv (Cornell University) · no summary yet**Aparna Elangovan et al.*2024 · 9 citations* 5. **[From Belief Entrenchment to Robust Reasoning in LLM Agents](https://md.research.elamur.ai/free/en/papers/oh-2026-belief-entrenchment-robust-reasoning-llm/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jihwan Oh, Minchan Jeong, Jongwoo Ko, et al.*2026 · 2 citations* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Se-Young Yun](https://md.research.elamur.ai/free/en/authors/se-young-yun/) ×3 - [Sungnyun Kim](https://md.research.elamur.ai/free/en/authors/sungnyun-kim/) ×2 - [Tianyi Chen](https://md.research.elamur.ai/free/en/authors/tianyi-chen/) ×2 - [Jihwan Oh](https://md.research.elamur.ai/free/en/authors/jihwan-oh/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2026](https://md.research.elamur.ai/free/en/venues/tacl/2026/) ## Cited by Papers of our library cite their works 168 times (of the 149,439 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jongwoo-ko/cited-by/). Updated 1 November 2026