The "Fraction Sense" Emerges from a Deep Convolutional Neural Network. - Yun-Shiuan Chuang; Edward Hubbard; Joseph L. Austerweil (CogSci, 2020)

Using Machine Theory of Mind to Learn Agent Social Network Structures from Observed Interactive Behaviors with Targets. - Yun-Shiuan Chuang; Hsin-Yi Hung; Edwinn Gamborino; Joshua Oon Soo Goh; Tsung-Ren Huang; Yu-Ling Chang; Su-Ling Yeh; Li-Chen Fu (RO-MAN, 2020)

Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. - Yun-Shiuan Chuang; Xuezhou Zhang; Yuzhe Ma; Mark K. Ho; Joseph L. Austerweil; Xiaojin Zhu 001 (CoRR, 2020)

Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. - Yun-Shiuan Chuang; Xuezhou Zhang; Yuzhe Ma; Mark K. Ho; Joseph L. Austerweil; Jerry Zhu (CogSci, 2021)

Computational Agent-based Models in Opinion Dynamics: A Survey on Social Simulations and Empirical Studies. - Yun-Shiuan Chuang; Timothy T. Rogers (CoRR, 2023)

Tutorials on Stance Detection using Pre-trained Language Models: Fine-tuning BERT and Prompting Large Language Models. - Yun-Shiuan Chuang (CoRR, 2023)

Decoding Affect in Dyadic Conversations: Leveraging Semantic Similarity through Sentence Embedding. - Chen-Wei Yu; Yun-Shiuan Chuang; Alexandros N. Lotsos; Claudia M. Haase (CoRR, 2023)

Evolving Domain Adaptation of Pretrained Language Models for Text Classification. - Yun-Shiuan Chuang; Yi Wu; Dhruv Gupta; Rheeya Uppaal; Ananya Kumar; Luhang Sun; Makesh Narsimhan Sreedhar; Sijia Yang; Timothy T. Rogers; Junjie Hu 001 (CoRR, 2023)

Evaluating LLM Agent Group Dynamics against Human Group Dynamics: A Case Study on Wisdom of Partisan Crowds. - Yun-Shiuan Chuang; Siddharth Suresh; Nikunj Harlalka; Agam Goyal; Robert Hawkins; Sijia Yang; Dhavan Shah; Junjie Hu 001; Timothy T. Rogers (CoRR, 2023)

Learning interactions to boost human creativity with bandits and GPT-4. - Ara Vartanian; Xiaoxi Sun; Yun-Shiuan Chuang; Siddharth Suresh; Xiaojin Zhu 001; Timothy T. Rogers (CoRR, 2023)

Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks. - Yun-Shiuan Chuang; Krirk Nirunwiroj; Zach Studdiford; Agam Goyal; Vincent Frigo; Sijia Yang; Dhavan Shah; Junjie Hu 001; Timothy T. Rogers (EMNLP (Findings), 2024)

Simulating Opinion Dynamics with Networks of LLM-based Agents. - Yun-Shiuan Chuang; Agam Goyal; Nikunj Harlalka; Siddharth Suresh; Robert Hawkins; Sijia Yang; Dhavan Shah; Junjie Hu 001; Timothy T. Rogers (NAACL-HLT (Findings), 2024)

The Delusional Hedge Algorithm as a Model of Human Learning from Diverse Opinions. - Yun-Shiuan Chuang; Jerry Zhu; Timothy T. Rogers (CoRR, 2024)

Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models. - Luhang Sun; Varsha Pendyala; Yun-Shiuan Chuang; Shanglin Yang; Jonathan Feldman; Andrew Zhao; Munmun De Choudhury; Sijia Yang; Dhavan Shah (CoRR, 2024)

No Preference Left Behind: Group Distributional Preference Optimization. - Binwei Yao; Zefan Cai; Yun-Shiuan Chuang; Shanglin Yang; Ming Jiang 018; Diyi Yang; Junjie Hu 001 (ICLR, 2025)

Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding. - Yun-Shiuan Chuang; Nikunj Harlalka; Sameer Narendran; Alexander Cheung; Sizhe Gao; Siddharth Suresh; Junjie Hu 001; Timothy T. Rogers (CoRR, 2025)

The Delusional Hedge Algorithm as a Model of Human Learning From Diverse Opinions. - Yun-Shiuan Chuang; Xiaojin Zhu 001; Timothy T. Rogers (Top. Cogn. Sci., 2025)