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Jungmin Yun
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2020 – today
- 2024
- [j2]Kyohoon Jin, Sejin Paik, Jungmin Yun, Soojin Jang, Youngbin Kim:
PRISM: Personalizing Reporting With Intelligent Summarization Through Multiple Frames. IEEE Access 12: 176457-176465 (2024) - [c3]Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun, Youngbin Kim:
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation. EMNLP 2024: 1-14 - [c2]Juhwan Choi, Jungmin Yun, Kyohoon Jin, Youngbin Kim:
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation. EMNLP 2024: 15-29 - [i5]Juhwan Choi, Jungmin Yun, Kyohoon Jin, YoungBin Kim:
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation. CoRR abs/2404.09682 (2024) - [i4]Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun, YoungBin Kim:
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation. CoRR abs/2405.01022 (2024) - [i3]Jungmin Yun, Mihyeon Kim, Youngbin Kim:
Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification. CoRR abs/2406.01283 (2024) - [i2]Juhwan Choi, Junehyoung Kwon, Jungmin Yun, Seunguk Yu, YoungBin Kim:
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks. CoRR abs/2407.19795 (2024) - [i1]Soojin Jang, Jungmin Yun, Junehyoung Kwon, Eunju Lee, Youngbin Kim:
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation. CoRR abs/2409.15801 (2024) - 2023
- [j1]Yunsung Cho, Jungmin Yun, Junehyoung Kwon, Youngbin Kim
:
Domain-Adaptive Vision Transformers for Generalizing Across Visual Domains. IEEE Access 11: 115644-115653 (2023) - [c1]Jungmin Yun, Mihyeon Kim, Youngbin Kim:
Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification. EMNLP (Findings) 2023: 13617-13628
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