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Suhong Moon Hi! I'm a Machine Learning Researcher at Apple Foundation Model team. I graduated from UC Berkeley with my PhD in December 2025, where I was part of Berkeley Artificial Intelligence Research (BAIR) under the guidance of Prof.John Canny. My research interests include:
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Selected Publications |
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Deep Binding of Language Model Virtual Personas:
a Study on Approximating Political Partisan Misperceptions
Minwoo (Josh) Kang*, Suhong Moon*, Seung Hyeong Lee, Ayush Raj, Joseph Suh, David M. Chan, John Canny COLM 2025 Paper | Code | Dataset |
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Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions
Joseph Suh*, Erfan Jahanparast*, Suhong Moon*, Minwoo (Josh) Kang*, Serina Chang ACL 2025 Paper | Code | Dataset |
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Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors
Joseph Suh*, Suhong Moon*, Minwoo (Josh) Kang*, David M. Chan, John Canny NeurIPS 2024, Workshop on Behavioral Machine Learning Paper |
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Virtual Personas for Language Models via an Anthology of Backstories
Suhong Moon*, Marwa Abdulhai*, Minwoo (Josh) Kang*, Joseph Suh*, Widyadewi Soedarmadji, Eran Kohen Behar, David M. Chan, John Canny EMNLP 2024 Paper | Code | Dataset | Blog |
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An LLM Compiler for Parallel Function Calling
Sehoon Kim*, Suhong Moon*, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami, ICML 2024 Paper | Code |
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