🧑‍🔬 Juho Kim

🏛️ Affiliations

🎓Korea Advanced Institute of Science and TechnologyDaejeon · South Korea2014–2026 · 177 papersEmployment since 2016 · Associate Professor, School of Computingcurrent🎓Massachusetts Institute of TechnologyCambridge · United States2011–2015 · 31 papers🔬MIT Computer Science and Artificial Intelligence LaboratoryCambridge · United States2013–2015 · 11 papers🎓Stanford UniversityStanford · United States2009–2023 · 4 papers🔬Allen Institute for Artificial IntelligenceSeattle · United States2024 · 2 papers🏢NaverSeongnam-si · South Korea2024 · 2 papers🎓University of WashingtonSeattle · United States2024 · 2 papers🏢MicrosoftRedmond · United States2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets (2023 · 100 citations)
   Judging how well instruction-following LLMs align with human expectations is difficult. A single prompt may draw on several abilities at once, and the relevant abilities change from prompt to prompt, so one preference score or a fixed metric suite hides much of the picture. The KAIST authors propose FLASK, a protocol…
2. Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews (2025 · 14 citations)
   LLMs can now draft peer reviews, but existing evaluations rely on surface overlap (BLEU, ROUGE) or content qualities such as specificity.
3. LearnerVoice: A Dataset of Non-Native English Learners' Spontaneous Speech (2024 · 3 citations)
   Speech recognizers often fail on spontaneous speech from second-language (L2) learners. Such speech is full of hesitations, restarts and grammar mistakes, and ASR systems tend to drop these or quietly "fix" them. That is harmful when transcripts are used to grade speaking ability. The authors release LearnerVoice…

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. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 100 citations
2. Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetNayeon Lee et al.2024 · 58 citations
3. Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM ReviewsConference on Empirical Methods in Natural Language Processing (EMNLP)Hyungyu Shin, Jingyu Tang, Yoonjoo Lee, et al.2025 · 14 citations
4. LearnerVoice: A Dataset of Non-Native English Learners' Spontaneous SpeechInterspeechHaechan Kim, Junho Myung, Seoyoung Kim, et al.2024 · 3 citations

🤝 Co-authors here

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

• Dongyeop Kang
• Doyoung Kim
• James Thorne
• Junho Myung
• Minjoon Seo
• Moontae Lee
• Seonghyeon Ye
• Seungone Kim
• Sungdong Kim

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): EMNLP 2025
• Interspeech: Interspeech 2024
• Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 145 times (of the 149,439 papers whose bibliographies we read); 37 citing papers with a page here →.

Updated 30 October 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/juho-kim/