Papers by Byungjun Kim
DART: An AIGT Detector using AMR of Rephrased Text (2025.naacl-short)
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| Challenge: | Existing methods for detecting AIGTs focus on probabilistic features, causing problems . performance of black-box detectors is low, and it is difficult to detect black- box models . |
| Approach: | They propose a detector that can discriminate multiple black-box LLMs without probabilistic features and the origin of AIGT. |
| Outcome: | The proposed method can discriminate multiple black-box LLMs without probabilistic features and the origin of AIGT. |
GOLEMcoref: A Multilingual Coreference Dataset of Fiction (2026.acl-short)
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Andreas Van Cranenburgh, Xiaoyan Yang, null Alvanita, Cecilia Nicole Di Domenico, Maria Ferragud, Arianna Graciotti, Byungjun Kim, Seonyeong Park, Noa Visser Solissa, Xiaoyu Zhou, Federico Pianzola
| Challenge: | Despite considerable progress, most research still focuses predominantly on English . fictional texts bring additional challenges not covered by standard benchmark datasets . |
| Approach: | They present a multilingual coreference dataset of 827k fanfiction tokens in 7 languages . they discuss their annotation scheme and language-specific challenges . |
| Outcome: | The proposed dataset includes full stories of diverse lengths, ranging from 500 to 17k words. |