Jungmin Yun

According to our database, Jungmin Yun authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks.

Juhwan Choi, Junehyoung Kwon, Jungmin Yun, Seunguk Yu, YoungBin Kim

CoRR, 2024

PRISM: Personalizing Reporting With Intelligent Summarization Through Multiple Frames.

Kyohoon Jin, Sejin Paik, Jungmin Yun, Soojin Jang, Youngbin Kim

IEEE Access, 2024

Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation.

Juhwan Choi, Jungmin Yun, Kyohoon Jin, Youngbin Kim

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation.

Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun, Youngbin Kim

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DIAL: Dense Image-Text ALignment for Weakly Supervised Semantic Segmentation.

Soojin Jang, Jungmin Yun, Junehyoung Kwon, Eunju Lee, Youngbin Kim

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Domain-Adaptive Vision Transformers for Generalizing Across Visual Domains.

Yunsung Cho, Jungmin Yun, Junehyoung Kwon, Youngbin Kim

IEEE Access, 2023

Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification.

Jungmin Yun, Mihyeon Kim, Youngbin Kim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023