--- title: "Chankyu Lee — author profile and papers — Elamur Research" description: "Chankyu Lee, Gangneung–Wonju National University: 4 papers on Elamur Research (2024–2026), h-index 16 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/chankyu-lee/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chankyu-lee/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chankyu Lee # Chankyu Lee Chankyu Lee has 4 papers in our library, in 2024–2026, 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/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Bryan Catanzaro](https://md.research.elamur.ai/free/en/authors/bryan-catanzaro/), [Mohammad Shoeybi](https://md.research.elamur.ai/free/en/authors/mohammad-shoeybi/), [Wei Ping](https://md.research.elamur.ai/free/en/authors/wei-ping/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5089891838) · [ORCID](https://orcid.org/0000-0002-6933-7459) · [**h-index 16**](https://openalex.org/authors/A5089891838) · [61 works](https://openalex.org/works?filter=author.id:A5089891838) · [1,786 citations](https://openalex.org/works?filter=author.id:A5089891838&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/chankyu-lee/#papers) · [🔗 Cited 327 times in our library](https://md.research.elamur.ai/free/en/authors/chankyu-lee/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4838](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4838) 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=Chankyu+Lee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chankyu+Lee) · [dblp](https://dblp.org/search?q=Chankyu+Lee) · [ACL Anthology](https://aclanthology.org/search/?q=Chankyu+Lee) ## Affiliations [🎓**Gangneung–Wonju National University** Gangneung · South Korea 2025–2026 · 3 papers*current*](https://ror.org/0461cvh40) · [🎓**Purdue University West Lafayette** West Lafayette · United States 2018–2025 · 13 papers](https://md.research.elamur.ai/free/en/universities/purdue-university-west-lafayette/) · [🏢**EuBiologics** Chuncheon · South Korea 2019–2025 · 6 papers](https://ror.org/03y2sw318) · [🎓**University of Florida** Gainesville · United States 2020 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-florida/) · [🎓**Chung-Ang University** Seoul · South Korea 2020–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/chung-ang-university/) · [🎓**Hanyang University** Seoul · South Korea 2002–2020 · 3 papers](https://md.research.elamur.ai/free/en/universities/hanyang-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/chankyu-lee/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/chankyu-lee/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/chankyu-lee/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models](https://md.research.elamur.ai/free/en/papers/lee-2024-nv-embed-improved-techniques-training/)** *(2024 · 222 citations)* General-purpose text embeddings are used for search, clustering, classification and the retrieval step in RAG systems. 2. **[ChatQA: Surpassing GPT-4 on Conversational QA and RAG](https://md.research.elamur.ai/free/en/papers/liu-2024-chatqa-surpassing-gpt-4-conversational/)** *(2024 · 58 citations)* The paper asks whether open-weight LLMs can match proprietary systems like GPT-4 at answering multi-turn questions grounded in supplied or retrieved documents, including tables, arithmetic, and questions the context cannot answer. 3. **[AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy](https://md.research.elamur.ai/free/en/papers/liu-2025-acereason-nemotron-1-1-advancing/)** *(2025 · 21 citations)* The paper asks how supervised fine-tuning (SFT) and reinforcement learning (RL) interact when post-training a small LLM for math and code reasoning. 4. **[Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation](https://md.research.elamur.ai/free/en/papers/yang-2026-nemotron-cascade-2-post-training/)** *(2026 · 16 citations)* Post-training a single LLM across many reasoning and agentic domains is hard. Mixing diverse RL environments can destabilize training, and gains in one area often erode others. Nemotron-Cascade 2 extends NVIDIA's earlier Cascade RL approach, which trains domain by domain in sequence, to address this. The base model… ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. [**NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models arXiv:2405.17428**Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.*2024 · 222 citations*](https://md.research.elamur.ai/free/en/papers/lee-2024-nv-embed-improved-techniques-training/) 2. **[ChatQA: Surpassing GPT-4 on Conversational QA and RAG](https://md.research.elamur.ai/free/en/papers/liu-2024-chatqa-surpassing-gpt-4-conversational/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zihan Liu, Wei Ping, Rajarshi Roy, et al.*2024 · 58 citations* 3. **[AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning ↗](https://arxiv.org/abs/2505.16400) arXiv:2505.16400 · no summary yet**Yang Chen et al.*2025 · 30 citations* 4. [**AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy arXiv:2506.13284**Zihan Liu, Zhuolin Yang, Yang Chen, et al.*2025 · 21 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-acereason-nemotron-1-1-advancing/) 5. [**Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation arXiv:2603.19220**Zhuolin Yang, Zihan Liu, Yang Chen, et al.*2026 · 16 citations*](https://md.research.elamur.ai/free/en/papers/yang-2026-nemotron-cascade-2-post-training/) ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Bryan Catanzaro](https://md.research.elamur.ai/free/en/authors/bryan-catanzaro/) ×3 - [Mohammad Shoeybi](https://md.research.elamur.ai/free/en/authors/mohammad-shoeybi/) ×3 - [Wei Ping](https://md.research.elamur.ai/free/en/authors/wei-ping/) ×3 - [Zihan Liu](https://md.research.elamur.ai/free/en/authors/zihan-liu/) ×3 - [Rajarshi Roy](https://md.research.elamur.ai/free/en/authors/rajarshi-roy/) ×2 - [Yang Chen](https://md.research.elamur.ai/free/en/authors/yang-chen/) ×2 - [Zhuolin Yang](https://md.research.elamur.ai/free/en/authors/zhuolin-yang/) ×2 - [Boxin Wang](https://md.research.elamur.ai/free/en/authors/boxin-wang/) - [Dongfu Jiang](https://md.research.elamur.ai/free/en/authors/dongfu-jiang/) - [Peng Xu](https://md.research.elamur.ai/free/en/authors/peng-xu/) - [Renjie Pi](https://md.research.elamur.ai/free/en/authors/renjie-pi/) - [Sheng-Chieh Lin](https://md.research.elamur.ai/free/en/authors/sheng-chieh-lin/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 327 times (of the 149,439 papers whose bibliographies we read); [66 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chankyu-lee/cited-by/). Updated 1 November 2026