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 (IJCNN, 2023)

Can Large Language Models Infer and Disagree Like Humans? - Noah Lee; Na Min An; James Thorne (CoRR, 2023)

Capturing the Relationship Between Sentence Triplets for LLM and Human-Generated Texts to Enhance Sentence Embeddings. - Na Min An; Sania Waheed; James Thorne (EACL (Findings), 2024)

Stable Language Model Pre-training by Reducing Embedding Variability. - Woojin Chung; Jiwoo Hong; Na Min An; James Thorne; Se-Young Yun (EMNLP, 2024)

I0T: Embedding Standardization Method Towards Zero Modality Gap. - Na Min An; Eunki Kim; James Thorne; Hyunjung Shim (ACL (1), 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 (ACL (1), 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 (ACL (1), 2025)

Image Embedding Sampling Method for Diverse Captioning. - Sania Waheed; Na Min An (CoRR, 2025)

Can LVLMs and Automatic Metrics Capture Underlying Preferences of Blind and Low-Vision Individuals for Navigational Aid? - Na Min An; Eunki Kim; Wan Ju Kang; Sangryul Kim; Hyunjung Shim; James Thorne (CoRR, 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, 2025)

VLM-Guided Visual Place Recognition for Planet-Scale Geo-Localization. - Sania Waheed; Na Min An; Michael Milford; Sarvapali D. Ramchurn; Shoaib Ehsan (CoRR, 2025)