---
title: "Sungjae Lee — author profile and papers — Elamur Research"
description: "Sungjae Lee, The Ohio State University: 2 papers on Elamur Research (2022–2026), h-index 1 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/sungjae-lee/"
---
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# Sungjae Lee

Sungjae Lee has 2 papers in our library, in 2022–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Jungseul Ok](https://md.research.elamur.ai/free/en/authors/jungseul-ok/), [Wei Chen](https://md.research.elamur.ai/free/en/authors/wei-chen/).

2 papers in our library · 2022–2026

[OpenAlex](https://openalex.org/A5001165357) · [ORCID](https://orcid.org/0000-0002-8824-2164) · [**h-index 1**](https://openalex.org/authors/A5001165357) · [5 works](https://openalex.org/works?filter=author.id:A5001165357) · [18 citations](https://openalex.org/works?filter=author.id:A5001165357&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sungjae-lee/#papers) · [🔗 Cited 85 times in our library](https://md.research.elamur.ai/free/en/authors/sungjae-lee/cited-by/) · [⭐ Paper Stars ranking: #7876](https://md.research.elamur.ai/free/en/paper-stars/page/79/#star-7876)

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=Sungjae+Lee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sungjae+Lee) · [dblp](https://dblp.org/search?q=Sungjae+Lee) · [ACL Anthology](https://aclanthology.org/search/?q=Sungjae+Lee)

## Affiliations

[🎓**The Ohio State University** Columbus · United States 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/the-ohio-state-university/)

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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 3 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/sungjae-lee/year/2026/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/sungjae-lee/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models](https://md.research.elamur.ai/free/en/papers/park-2022-lut-gemm-quantized-matrix-multiplication/)** *(2022 · 103 citations)* When large generative language models produce text token by token, inference is limited mainly by memory traffic rather than arithmetic.
2. **[PaT: Planning-after-Trial for Efficient Test-Time Code Generation](https://md.research.elamur.ai/free/en/papers/yoon-2026-pat-planning-after-trial-efficient/)** *(2026)* Test-time scaling methods for LLM code generation often plan before trying any code (Planning-before-Trial, PbT). Planners such as FunCoder therefore spend compute decomposing every task, including easy ones a model could solve directly. The authors propose Planning-after-Trial (PaT), which reverses this order.

## Co-authors here

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

- [Jungseul Ok](https://md.research.elamur.ai/free/en/authors/jungseul-ok/)
- [Wei Chen](https://md.research.elamur.ai/free/en/authors/wei-chen/)

## 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)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/): [ICLR 2022](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2022/)

## Cited by

Papers of our library cite their works 85 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sungjae-lee/cited-by/).

Updated 2 November 2026
