3 papers
cs.CL2024
Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer
Haeji Jung, Changdae Oh, Jooeon Kang +4
Approaches to improving multilingual language understanding often struggle with significant performance gaps between high-resource and low-resource languages. While there are effor…
cs.CL2024
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages
Jimin Sohn, Haeji Jung, Alex Cheng +3
Existing zero-shot cross-lingual NER approaches require substantial prior knowledge of the target language, which is impractical for low-resource languages. In this paper, we propo…
cs.CV2024
WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake Detection
Juho Jung, Sangyoun Lee, Jooeon Kang +1
All current benchmarks for multimodal deepfake detection manipulate entire frames using various generation techniques, resulting in oversaturated detection accuracies exceeding 94%…