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Yun-Shiuan Chuang
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2020 – today
- 2024
- [c5]Yun-Shiuan Chuang, Krirk Nirunwiroj, Zach Studdiford, Agam Goyal, Vincent Frigo, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers:
Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks. EMNLP (Findings) 2024: 14010-14026 - [c4]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. NAACL-HLT (Findings) 2024: 3326-3346 - [i11]Yun-Shiuan Chuang, Jerry Zhu, Timothy T. Rogers:
The Delusional Hedge Algorithm as a Model of Human Learning from Diverse Opinions. CoRR abs/2402.13927 (2024) - [i10]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 abs/2406.17232 (2024) - [i9]Luhang Sun, Varsha Pendyala, Yun-Shiuan Chuang, Shanglin Yang, Jonathan Feldman, Andrew Zhao, Munmun De Choudhury, Sijia Yang, Dhavan Shah:
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. CoRR abs/2411.14720 (2024) - 2023
- [i8]Yun-Shiuan Chuang, Timothy T. Rogers:
Computational Agent-based Models in Opinion Dynamics: A Survey on Social Simulations and Empirical Studies. CoRR abs/2306.03446 (2023) - [i7]Yun-Shiuan Chuang:
Tutorials on Stance Detection using Pre-trained Language Models: Fine-tuning BERT and Prompting Large Language Models. CoRR abs/2307.15331 (2023) - [i6]Chen-Wei Yu, Yun-Shiuan Chuang, Alexandros N. Lotsos, Claudia M. Haase:
Decoding Affect in Dyadic Conversations: Leveraging Semantic Similarity through Sentence Embedding. CoRR abs/2309.12646 (2023) - [i5]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 abs/2311.09618 (2023) - [i4]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 abs/2311.09661 (2023) - [i3]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 abs/2311.09665 (2023) - [i2]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 abs/2311.10127 (2023) - 2021
- [c3]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 - 2020
- [c2]Yun-Shiuan Chuang, Edward Hubbard, Joseph L. Austerweil:
The "Fraction Sense" Emerges from a Deep Convolutional Neural Network. CogSci 2020 - [c1]Yun-Shiuan Chuang, Hsin-Yi Hung
, Edwinn Gamborino, Joshua Oon Soo Goh, Tsung-Ren Huang, Yu-Ling Chang
Using Machine Theory of Mind to Learn Agent Social Network Structures from Observed Interactive Behaviors with Targets. RO-MAN 2020: 1013-1019 - [i1]Yun-Shiuan Chuang
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. CoRR abs/2009.02476 (2020)
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