Research record

Publications

Journal and conference papers, plus selected preprints. Conference and journal versions of the same work are labeled separately.

Selected work Google Scholar

Journal and conference papers

2026 · ACL (Industry Track)

Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents

Chuang, Y.S., Kulkarni, C., Chiu, A. M., Thangali, A., Pan, Z., Shekhar, S., Ge, Y., Li, Y., Kona, U., Pang, L., & Mehrotra, P. (2026). Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 1251–1264.

2026 · ACL (Industry Track)

Ada-RS: Adaptive Rejection Sampling for Selective Thinking

Ge, Y., Li, Y., Chiu, A. M., Shekhar, S., Pan, Z., Thangali, A., Chuang, Y.S., Kulkarni, C., Kona, U., Pang, L., & Mehrotra, P. (2026). Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 1265–1276.

2026 · NeurIPS (Evaluations and Datasets Track)

DEBATE: A Large-Scale Benchmark for Evaluating Opinion Dynamics in Role-Playing LLM Agents

Chuang, Y.S., Tu, R., Dai, C., Li, Y., Vasani, S., Yao, B., Tessler, M. H., Yang, S., Shah, D., Hawkins, R., Hu, J., & Rogers, T. T. (2026). arXiv:2510.25110. Accepted to NeurIPS 2026; proceedings citation not yet available.

2026 · Computational Communication Research

When More Shots Don’t Help: LLM Sensitivity and Variability in Social Media Annotation and Stance Detection of Health Information

Sun, L., Pendyala, V., Chuang, Y.S., Yang, S., Feldman, J., Zhao, A., De Choudhury, M., Yang, S., & Shah, D. V. (2026). Computational Communication Research 8(1), 1–30.

2025 · EMNLP (Main Track)

Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding

Chuang, Y.S., Narendran, S., Harlalka, N., Cheung, A., Gao, S., Suresh, S., Hu, J., & Rogers, T. T. (2025). Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 4699–4713.

2025 · ICLR (Main Conference)

No Preference Left Behind: Group Distributional Preference Optimization

Yao, B., Cai, Z., Chuang, Y.S., Yang, S., Jiang, M., Yang, D., & Hu, J. (2025). The Thirteenth International Conference on Learning Representations.

2025 · Topics in Cognitive Science

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

Chuang, Y.S., Zhu, X., & Rogers, T. T. (2025). Topics in Cognitive Science 17(1), 73–87. Journal version of the 2024 CogSci paper.

2025 · Developmental Science

Developmental Changes in Nonsymbolic and Symbolic Fractions Processing: A Cross-Sectional fMRI Study

Park, Y., Kalra, P. B., Chuang, Y.S., Binzak, J. V., Matthews, P. G., & Hubbard, E. M. (2025). Developmental Science 28(5), e70042.

2025 · Journal of Language and Social Psychology

The More Similar, the Better? Associations Between Latent Semantic Similarity and Emotional Experiences Differ Across Conversation Contexts

Yu, C.-W., Chuang, Y.S., Lotsos, A. N., Meier, T., & Haase, C. M. (2025). Journal of Language and Social Psychology 44(6), 961–984.

2024 · EMNLP (Findings)

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

Chuang, Y.S., Nirunwiroj, K., Studdiford, Z., Goyal, A., Frigo, V. V., Yang, S., Shah, D. V., Hu, J., & Rogers, T. T. (2024). Findings of the Association for Computational Linguistics: EMNLP 2024, 14010–14026.

2024 · NAACL (Findings)

Simulating Opinion Dynamics with Networks of LLM-based Agents

Chuang, Y.S., Goyal, A., Harlalka, N., Suresh, S., Hawkins, R., Yang, S., Shah, D., Hu, J., & Rogers, T. (2024). Findings of the Association for Computational Linguistics: NAACL 2024, 3326–3346.

Code

2024 · CogSci

The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents

Chuang, Y.S., Harlalka, N., Suresh, S., Goyal, A., Hawkins, R., Yang, S., Shah, D., Hu, J., & Rogers, T. T. (2024). Proceedings of the 46th Annual Conference of the Cognitive Science Society.

2024 · CogSci (Best Paper Award; Computational Modeling Prize; 4 of 1,200+ submissions)

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

Chuang, Y.S., Zhu, X., & Rogers, T. T. (2024). Proceedings of the 46th Annual Conference of the Cognitive Science Society, 306–312. Computational Modeling Prize for Higher-Level Cognition.

2024 · CogSci

Distributed statistical inference in social interaction networks

Zubak, Y., Dronavalli, P., Chuang, Y.S., & Hawkins, R. (2024). Proceedings of the 46th Annual Conference of the Cognitive Science Society.

2024 · CogSci

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

Vartanian, A., Sun, X., Chuang, Y.S., Suresh, S., Zhu, X., & Rogers, T. T. (2024). Proceedings of the 46th Annual Conference of the Cognitive Science Society.

2021 · CogSci

Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners

Chuang, Y.S., Zhang, X., Ma, Y., Ho, M. K., Austerweil, J. L., & Zhu, X. (2021). Proceedings of the 43rd Annual Conference of the Cognitive Science Society, 1159–1165.

2020 · Social Cognitive and Affective Neuroscience

Neural responses reveal associations between personal values and value-based decisions

Chuang, Y.S., Su, Y.-S., & Goh, J. O. S. (2020). Social Cognitive and Affective Neuroscience 15(11), 1217–1227.

2020 · IEEE RO-MAN

Using Machine Theory of Mind to Learn Agent Social Network Structures from Observed Interactive Behaviors with Targets

Chuang, Y.S., Hung, H.-Y., Gamborino, E., Goh, J. O. S., Huang, T.-R., Chang, Y.-L., Yeh, S.-L., & Fu, L.-C. (2020). 29th IEEE International Conference on Robot and Human Interactive Communication, 1013–1019.

2020 · CogSci

The “Fraction Sense” Emerges from a Deep Convolutional Neural Network

Chuang, Y.S., Hubbard, E. M., & Austerweil, J. L. (2020). Proceedings of the 42nd Annual Conference of the Cognitive Science Society.

Preprints

2026 · arXiv preprint

State-Grounded Multi-Agent Synthetic Data Generation for Tool-Augmented LLMs

Khedar, R., Eshita, Thondapu, S. T. S. R., Malhotra, M., Das, A., Chandra, J., Chuang, Y.S., Kulkarni, C., Menon, A., Pang, L., Karn, A., Mouli V, & Mehrotra, P. (2026). arXiv:2606.16307.

2025 · arXiv preprint

NEMO-4-PAYPAL: Leveraging NVIDIA's Nemo Framework for empowering PayPal's Commerce Agent

Garg, S., Wang, A., Kulkarni, C., Sahami, A., Farahani, F., Chuang, Y.S., Wan, J., Manoharan, S., Kona, U., Sharma, N., Pang, L., Mehrotra, P., Clark, J., & Moyou, M. (2025). arXiv:2512.21578.