🧑‍🔬 KyungTae Lim

🏛️ Affiliations

🎓Korea Advanced Institute of Science and TechnologyDaejeon · South Korea2012–2026 · 16 paperscurrent🎓Seoul National University of Science and TechnologySeoul · South Korea2023–2025 · 13 papers🎓Hanbat National UniversityDaejeon · South Korea2021–2024 · 6 papers🔬École Normale Supérieure - PSLParis · France2018–2020 · 6 papers🔬Langues, Textes, Traitements Informatiques, CognitionMontrouge · France2017–2018 · 6 papers🔬Centre National de la Recherche ScientifiqueParis · France2018 · 5 papers🎓Université Sorbonne NouvelleParis · France2018 · 5 papers🎓Université Paris Sciences et LettresParis · France2018 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Beyond Accuracy: Alignment and Error Detection across Languages in the Bi-GSM8K Math-Teaching Benchmark (2026)
   Strong math-solving ability in LLMs does not mean they can teach. Tutoring requires comparing a learner's reasoning with a reference solution and locating where the learner first went wrong. To measure these skills, the authors built Bi-GSM8K, a Korean–English benchmark derived from GSM8K. Mathematics education…
2. ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMs (2026)
   Continual pretraining (CP) of multilingual LLMs on a new language is costly and often weakens English ability.
3. TReX: Tokenizer Regression for Optimal Data Mixture (2026)
   Multilingual tokenizers compress text unevenly depending on how much data each language contributes. The usual ways to set these language proportions are hand-tuned guesses or expensive repeated full-scale training runs. TReX instead treats mixture selection as a prediction problem. The authors draw many candidate…

All works

4 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. KLUE: Korean Language Understanding Evaluation ↗arXiv (Cornell University) · no summary yetSungjoon Park et al.2021 · 185 citations
2. Beyond Accuracy: Alignment and Error Detection across Languages in the Bi-GSM8K Math-Teaching BenchmarkFindings of the Association for Computational LinguisticsJieun Park, KyungTae Lim, Joon-ho Lim2026
3. ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Hangyeol Yoo, ChangSu Choi, Minjun Kim, et al.2026
4. TReX: Tokenizer Regression for Optimal Data MixtureConference of the European Chapter of the Association for Computational Linguistics (EACL)Inho Won, Hangyeol Yoo, Minkyung Cho, et al.2026

🤝 Co-authors here

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

• Hangyeol Yoo ×2
• Inho Won ×2
• Cheoneum Park
• Hoyun Song
• Minjun 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) ×2: EACL 2026 ×2
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 110 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated 2 November 2026

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