Na Min An

According to our database, Na Min An authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

Interpretable Debiasing of Vision-Language Models for Social Fairness.

Na Min An, Yoonna Jang, Yusuke Hirota, Ryo Hachiuma, Isabelle Augenstein, Hyunjung Shim

CoRR, February, 2026

2025

Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models.

NaHyeon Park, Na Min An, Kunhee Kim, Soyeon Yoon, Jiahao Huo, Hyunjung Shim

CoRR, December, 2025

World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models.

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

CoRR, November, 2025

Multi-Objective Task-Aware Predictor for Image-Text Alignment.

Eunki Kim, Na Min An, James Thorne, Hyunjung Shim

CoRR, October, 2025

CoPatch: Zero-Shot Referring Image Segmentation by Leveraging Untapped Spatial Knowledge in CLIP.

Na Min An, Inha Kang, Minhyun Lee, Hyunjung Shim

CoRR, September, 2025

VLM-Guided Visual Place Recognition for Planet-Scale Geo-Localization.

Sania Waheed, Na Min An, Michael Milford, Sarvapali D. Ramchurn, Shoaib Ehsan

CoRR, July, 2025

When Tom Eats Kimchi: Evaluating Cultural Bias of Multimodal Large Language Models in Cultural Mixture Contexts.

Jun Seong Kim, Ye Kyaw Thu, Javad Ismayilzada, Junyeong Park, Eunsu Kim, Huzama Ahmad, Na Min An, James Thorne, Alice Oh

CoRR, March, 2025

Image Embedding Sampling Method for Diverse Captioning.

Sania Waheed, Na Min An

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions.

Wan Ju Kang, Eunki Kim, Na Min An, Sangryul Kim, Haemin Choi, Ki Hoon Kwak, James Thorne

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Diffusion Models Through a Global Lens: Are They Culturally Inclusive?

Zahra Bayramli, Ayhan Suleymanzade, Na Min An, Huzama Ahmad, Eunsu Kim, Junyeong Park, James Thorne, Alice Oh

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

I0T: Embedding Standardization Method Towards Zero Modality Gap.

Na Min An, Eunki Kim, James Thorne, Hyunjung Shim

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Stable Language Model Pre-training by Reducing Embedding Variability.

Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun

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

Capturing the Relationship Between Sentence Triplets for LLM and Human-Generated Texts to Enhance Sentence Embeddings.

Na Min An, Sania Waheed, James Thorne

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Can Large Language Models Infer and Disagree Like Humans?

Noah Lee, Na Min An, James Thorne

CoRR, 2023

Reinforcement Learning Framework to Simulate Short-Term Learning Effects of Human Psychophysical Experiments Assessing the Quality of Artificial Vision.

Na Min An, Hyeonhee Roh, Sein Kim, Jae Hun Kim, Maesoon Im

Proceedings of the International Joint Conference on Neural Networks, 2023