Yun-Shiuan Chuang

According to our database, Yun-Shiuan Chuang authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks.

Yun-Shiuan Chuang, Zach Studdiford, Krirk Nirunwiroj, Agam Goyal, Vincent V. Frigo, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers

CoRR, 2024

The Delusional Hedge Algorithm as a Model of Human Learning from Diverse Opinions.

Yun-Shiuan Chuang, Jerry Zhu, Timothy T. Rogers

CoRR, 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, Timothy T. Rogers

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

Learning interactions to boost human creativity with bandits and GPT-4.

Ara Vartanian, Xiaoxi Sun, Yun-Shiuan Chuang, Siddharth Suresh, Xiaojin Zhu, Timothy T. Rogers

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, Timothy T. Rogers

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

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

Tutorials on Stance Detection using Pre-trained Language Models: Fine-tuning BERT and Prompting Large Language Models.

Yun-Shiuan Chuang

CoRR, 2023

Computational Agent-based Models in Opinion Dynamics: A Survey on Social Simulations and Empirical Studies.

Yun-Shiuan Chuang, Timothy T. Rogers

CoRR, 2023

2021

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

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

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

CoRR, 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

Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

The "Fraction Sense" Emerges from a Deep Convolutional Neural Network.

Yun-Shiuan Chuang, Edward Hubbard, Joseph L. Austerweil

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020