Yun-Shiuan Chuang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
6
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents. | Yun-Shiuan Chuang, Chaitanya Kulkarni, Alec M. Chiu, Avinash Thangali, Zijie Pan, Shivani Shekhar, Yirou Ge, Yixi Li, Uma Kona, Linsey Pang, Prakhar Mehrotra |
| 2026 | ACL | Ada-RS: Adaptive Rejection Sampling for Selective Thinking. | Yirou Ge, Yixi Li, Alec M. Chiu, Shivani Shekhar, Zijie Pan, Avinash Thangali, Yun-Shiuan Chuang, Chaitanya Kulkarni, Uma Kona, Linsey Pang, Prakhar Mehrotra |
| 2025 | EMNLP | Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding. | Yun-Shiuan Chuang, Sameer Narendran, Nikunj Harlalka, Alexander Cheung, Sizhe Gao, Siddharth Suresh, Junjie Hu, Timothy T. Rogers |
| 2025 | ICLR | No Preference Left Behind: Group Distributional Preference Optimization. | Binwei Yao, Zefan Cai, Yun-Shiuan Chuang, Shanglin Yang, Ming Jiang, Diyi Yang, Junjie Hu |
| 2024 | CogSci | 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 |
| 2024 | CogSci | The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents. | Yun-Shiuan Chuang, Nikunj Harlalka, Siddharth Suresh, Agam Goyal, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, Timothy T. Rogers |
| 2024 | CogSci | The Delusional Hedge Algorithm as a Model of Human Learning from Diverse Opinions. | Yun-Shiuan Chuang, Jerry Zhu, Timothy T. Rogers |
| 2024 | CogSci | Learning interactions to boost human creativity with bandits and GPT-4. | Ara Vartanian, Xiaoxi Sun, Yun-Shiuan Chuang, Siddharth Suresh, Jerry Zhu, Timothy T. Rogers |
| 2024 | CogSci | Distributed statistical inference in social interaction networks. | Yuliya Zubak, Pranav Dronavalli, Yun-Shiuan Chuang, Robert Hawkins |
| 2024 | EMNLP | 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, Timothy T. Rogers |
| 2024 | NAACL | 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 |
| 2021 | CogSci | 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 |
| 2020 | CogSci | The "Fraction Sense" Emerges from a Deep Convolutional Neural Network. | Yun-Shiuan Chuang, Edward Hubbard, Joseph L. Austerweil |
| 2020 | RO-MAN | 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 |