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Yerang Kim

dblp:410/3910 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Language models and text generation · 50% Information extraction and text analysis · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
abusive language detection
0.912025
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean · ACL (1) 2025
Natural language and speech › Language models and text generation › large language model safety
detoxification
0.912025
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean · ACL (1) 2025

Methods — techniques the papers use, named apart from their topics

large language model · 0.9
YearPublicationVenuePosition
2025 K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
abstract
Minkyeong Jeon, Hyemin Jeong, Yerang Kim, Jiyoung Kim, Jae Hyeon Cho, Byung-Jun Lee. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
Minkyeong Jeon, Hyemin Jeong, Yerang Kim, Jae Hyeon Cho, Byung-Jun Lee 0001
ACL (1)3