Muhua Huang

Muhua Huang

đź“ť Publications

Journal and Conference Proceedings

  • Huang, M., & Evans, J. (In Press). Institutions as cached computation for resource-rational negotiation. Behavioral and Brain Sciences. https://doi.org/10.1017/S0140525X2510174X
  • Huang, M., Zhang, X., Soto, C., & Evans, J. (Under Review). Designing AI-Agents with Personalities: A Psychometric Approach. Personality Science. [Preprint]
  • Bai, Y., Duan, S., Huang, M., Yao, J., Liu, Z., Zhang, P., … & Xie, X. (Under Review). IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization. [Preprint]
  • Zhang, H., Huang, M., & Wang, J. (Under Review). Evolving Collective Cognition in Human-Agent Hybrid Societies: How Agents Form Stances and Boundaries. [Preprint]
  • Zhang, X., Huang, M., Sun, J., & Savalei, V. (2025). Improving the Measurement of the Big Five via Alternative Formats for the BFI-2. Journal of Personality Assessment. https://doi.org/10.1080/00223891.2025.2531187
  • Yao, J., Yi, X., Duan, S., Wang, J., Bai, Y., Huang, M., … & Xie, X. (2025). Value compass benchmarks: A comprehensive, generative and self-evolving platform for llms’ value evaluation. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.acl-demo.64
  • Kim, H., Yi, X., Bak, J., Yao, J., Lian, J., Huang, M., Duan, S., & Xie, X. (2025). The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment. SuperIntelligence - Robotics - Safety & Alignment, 2(1). https://doi.org/10.70777/si.v2i1.13963
  • Savalei, V., & Huang, M. (2025). Fit Indices Are Insensitive to Multiple Minor Violations of Perfect Simple Structure in Confirmatory Factor Analysis. Psychological Methods. https://dx.doi.org/10.1037/met0000718
  • Laurin, K., Engstrom, H., & Huang, M. (2024). What will my life be like when I’m 25? How social class predicts kids’ answers to this question, and how their answers predict their futures. Journal of Social Issues. https://doi.org/10.1111/josi.12650

Conference Presentations

  • Huang, M., Biedma, P., Yi, X., Huang, L., Sun, M., Evans, J., Xie, X. (2025, July). Beyond Anthropomorphism: Unveiling Unique Value Structure of Large Language Models (LLMs) via a Psychometric Approach. 11th International Conference on Computational Social Science (IC2S2), Norrköping, Sweden.
  • Huang, M. & Huang, N. (2025, August). Re-Discovering the Big Five: Using LLM Embeddings to Understand Personality Structure. American Psychological Association (APA) Convention, Denver, USA.
  • Huang, M. (2024, August). Designing LLM-Agents with Personalities: A Psychometric Approach [Poster]. American Psychological Association (APA) Convention, Seattle, USA.
  • Zhang, X., & Huang, M. (2025, June). Designing AI-agents with personalities using BFI-2 in different formats.
  • Zhang, X., Huang, M., Sun, J., & Savalei, V. (2025, July). Designing AI-agents with personalities using BFI-2 in different formats.
  • Huang, M., Zhang, X., & Savalei, V. (2023, August). How to measure Big Five personality traits better? Exploring alternative scale formats for BFI-2 [Poster]. American Psychological Association (APA) Convention, Washington, DC.
  • Savalei, V., & Huang, M. (2023, October). Can SEM Fit Indices Distinguish Between CFA and EFA Data Structures? [Paper]. Annual Meeting of the Society for Multivariate Experimental Psychology (SMEP), Iowa City, Iowa.
  • Engstrom, H., Huang, M., & Laurin, K. (2022, July). Social class differences in children’s hopes and expectations for the future: A machine learning approach [Talk]. Society in the classroom: Integrating perspectives on how socioeconomic disparities unfold in educational settings, London, England.
  • Conati, C., Murali, R., & Huang, M. (2022, June). Gauging Student Engagement with an XAI interface via Eye-tracking [Paper]. IJCAI 2022 Workshop on Explainable Artificial Intelligence, 168.
  • Engstrom, H., Huang, M., & Laurin, K. (2022, February). Different social class backgrounds, different imagined futures [Talk]. 2022 Society for Personality and Social Psychology (SPSP) Annual Convention, San Francisco, CA.
  • Huang, M., Engstrom, H., & Laurin, K. (2021, May). Exploring the Association between Socioeconomic Status and Children’s Imagined Future: A Study Using Machine Learning [Poster]. Association for Psychological Science (ASP) Annual Convention.