Na Min An

20 papers A* 2B 1Journal 13Unranked 4
YearRankTypeTitle / 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