Yun-Shiuan Chuang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Multimedia Courseware

Semantic Similarity

Thinking Skills

Top Venues

Publications

Yun-Shiuan Chuang, Zach Studdiford, Krirk Nirunwiroj, Agam Goyal, Vincent V. Frigo, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers
Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks. CoRR (2024)
Yun-Shiuan Chuang, Jerry Zhu, Timothy T. Rogers
The Delusional Hedge Algorithm as a Model of Human Learning from Diverse Opinions. CoRR (2024)
Yun-Shiuan Chuang
Tutorials on Stance Detection using Pre-trained Language Models: Fine-tuning BERT and Prompting Large Language Models. CoRR (2023)
Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers
Simulating Opinion Dynamics with Networks of LLM-based Agents. CoRR (2023)
Yun-Shiuan Chuang, Timothy T. Rogers
Computational Agent-based Models in Opinion Dynamics: A Survey on Social Simulations and Empirical Studies. CoRR (2023)
Ara Vartanian, Xiaoxi Sun, Yun-Shiuan Chuang, Siddharth Suresh, Xiaojin Zhu, Timothy T. Rogers
Learning interactions to boost human creativity with bandits and GPT-4. CoRR (2023)
Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu
Evolving Domain Adaptation of Pretrained Language Models for Text Classification. CoRR (2023)
Chen-Wei Yu, Yun-Shiuan Chuang, Alexandros N. Lotsos, Claudia M. Haase
Decoding Affect in Dyadic Conversations: Leveraging Semantic Similarity through Sentence Embedding. CoRR (2023)
Yun-Shiuan Chuang, Siddharth Suresh, Nikunj Harlalka, Agam Goyal, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers
Evaluating LLM Agent Group Dynamics against Human Group Dynamics: A Case Study on Wisdom of Partisan Crowds. CoRR (2023)
Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Jerry Zhu
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. CogSci (2021)
Yun-Shiuan Chuang, Hsin-Yi Hung, Edwinn Gamborino, Joshua Oon Soo Goh, Tsung-Ren Huang, Yu-Ling Chang, Su-Ling Yeh, Li-Chen Fu
Using Machine Theory of Mind to Learn Agent Social Network Structures from Observed Interactive Behaviors with Targets. RO-MAN (2020)
Yun-Shiuan Chuang, Edward Hubbard, Joseph L. Austerweil
The "Fraction Sense" Emerges from a Deep Convolutional Neural Network. CogSci (2020)
Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Xiaojin Zhu
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. CoRR (2020)