Na Min An - RankMe

20 papers A* 2B 1Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interpretable Debiasing of Vision-Language Models for Social Fairness. CoRR Na Min An, Yoonna Jang, Yusuke Hirota, Ryo Hachiuma, Isabelle Augenstein, Hyunjung Shim
2025	J	`jnl`	Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models. CoRR NaHyeon Park, Na Min An, Kunhee Kim, Soyeon Yoon, Jiahao Huo, Hyunjung Shim
2025	J	`jnl`	CoPatch: Zero-Shot Referring Image Segmentation by Leveraging Untapped Spatial Knowledge in CLIP. CoRR Na Min An, Inha Kang, Minhyun Lee, Hyunjung Shim
2025	—	`conf`	Diffusion Models Through a Global Lens: Are They Culturally Inclusive? ACL (1) Zahra Bayramli, Ayhan Suleymanzade, Na Min An, Huzama Ahmad, Eunsu Kim, Junyeong Park, James Thorne, Alice Oh
2025	J	`jnl`	Diffusion Models Through a Global Lens: Are They Culturally Inclusive? CoRR Zahra Bayramli, Ayhan Suleymanzade, Na Min An, Huzama Ahmad, Eunsu Kim, Junyeong Park, James Thorne, Alice Oh
2025	—	`conf`	I0T: Embedding Standardization Method Towards Zero Modality Gap. ACL (1) Na Min An, Eunki Kim, James Thorne, Hyunjung Shim
2025	A*	`conf`	Image Embedding Sampling Method for Diverse Captioning. EMNLP Sania Waheed, Na Min An
2025	J	`jnl`	Image Embedding Sampling Method for Diverse Captioning. CoRR Sania Waheed, Na Min An
2025	J	`jnl`	Multi-Objective Task-Aware Predictor for Image-Text Alignment. CoRR Eunki Kim, Na Min An, James Thorne, Hyunjung Shim
2025	—	`conf`	Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions. ACL (1) Wan Ju Kang, Eunki Kim, Na Min An, Sangryul Kim, Haemin Choi, Ki Hoon Kwak, James Thorne
2025	J	`jnl`	Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions. CoRR Wan Ju Kang, Eunki Kim, Na Min An, Sangryul Kim, Haemin Choi, Ki Hoon Kwak, James Thorne
2025	J	`jnl`	VLM-Guided Visual Place Recognition for Planet-Scale Geo-Localization. CoRR Sania Waheed, Na Min An, Michael Milford, Sarvapali D. Ramchurn, Shoaib Ehsan
2025	J	`jnl`	When Tom Eats Kimchi: Evaluating Cultural Bias of Multimodal Large Language Models in Cultural Mixture Contexts. CoRR Jun Seong Kim, Ye Kyaw Thu, Javad Ismayilzada, Junyeong Park, Eunsu Kim, Huzama Ahmad, Na Min An, James Thorne, Alice Oh
2025	J	`jnl`	World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models. CoRR Eunsu Kim, Junyeong Park, Na Min An, Junseong Kim, Hitesh Laxmichand Patel, Jiho Jin, Julia Kruk, Amit Agarwal, Srikant Panda, Fenal Ashokbhai Ilasariya, Hyunjung Shim, Alice Oh
2024	—	`conf`	Capturing the Relationship Between Sentence Triplets for LLM and Human-Generated Texts to Enhance Sentence Embeddings. EACL (Findings) Na Min An, Sania Waheed, James Thorne
2024	J	`jnl`	I0T: Embedding Standardization Method Towards Zero Modality Gap. CoRR Na Min An, Eunki Kim, James Thorne, Hyunjung Shim
2024	A*	`conf`	Stable Language Model Pre-training by Reducing Embedding Variability. EMNLP Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun
2024	J	`jnl`	Stable Language Model Pre-training by Reducing Embedding Variability. CoRR Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun
2023	J	`jnl`	Can Large Language Models Infer and Disagree Like Humans? CoRR Noah Lee, Na Min An, James Thorne
2023	B	`conf`	Reinforcement Learning Framework to Simulate Short-Term Learning Effects of Human Psychophysical Experiments Assessing the Quality of Artificial Vision. IJCNN Na Min An, Hyeonhee Roh, Sein Kim, Jae Hun Kim, Maesoon Im