publications

2024

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    Stable Language Model Pre-training by Reducing Embedding Variability
    Woojin Chung, Jiwoo Hong, Na Min An, and 2 more authors
    2024
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    Capturing the Relationship Between Sentence Triplets for LLM and Human-Generated Texts to Enhance Sentence Embeddings
    Na Min An, Sania Waheed, and James Thorne
    In Findings of the Association for Computational Linguistics: EACL 2024, Mar 2024

2023

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    Can Large Language Models Capture Dissenting Human Voices?
    Noah Lee*, Na Min An*, and James Thorne
    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2023
    * indicates equal contribution.
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    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, and 2 more authors
    In 2023 International Joint Conference on Neural Networks (IJCNN), Dec 2023
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    Artificial Vision Parameter Learning and Automating Method for Improving Visual Prosthetic Systems
    Maesoon Im, Hyeonhee Roh, Na Min An, and 1 more author
    Jun 2023
    US Patent App. 18/075,555

2021

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    Machine Learning Approaches as An Alternative to Human Psychophysical Tests of Prosthetic Vision (abstract)
    Na Min An, Hyeonhee Roh, Soomin Jung, and 2 more authors
    2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Jun 2021