Publications
A collection of my research work.
Tracing Moral Foundations in Large Language Models
Chenxiao Yu†, Bowen Yi, Farzan Karimi-Malekabadi, Suhaib Abdurahman, Jinyi Ye, Shrikanth Narayanan, Yue Zhao, Morteza Dehghani
2026
Do LLMs have human-like moral cognition?
Realistic threat perception drives intergroup conflict: A causal, dynamic analysis using generative-agent simulations
Suhaib Abdurahman, Farzan Karimi-Malekabadi, Chenxiao Yu, Nour S. Kteily, Morteza Dehghani
2026
A causal analysis of how realistic threat perception drives intergroup conflict using generative-agent simulations.
Mitigating Hallucinations in Large Language Models via Causal Reasoning
Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Shawn Li, Jie Wang, Xiyang Hu, Yue Zhao
Proceedings of the AAAI Conference on Artificial Intelligence 2026
A causal intervention framework that reduces hallucinations in LLMs by identifying and adjusting unstable internal pathways.
A Large-Scale Simulation on Large Language Models for Decision-Making
Chenxiao Yu†, Jinyi Ye, Lincan Li, Zhaoyang Li, Emilio Ferrara, Xiyang Hu, Yue Zhao
2025
An extensive simulation study analyzing decision-making patterns of LLMs across identity conditions, threat cues, and moral scenarios.
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
Yiming Tang†, Yi Fan, Chenxiao Yu†, Tiankai Yang, Yue Zhao, Xiyang Hu
2025
A framework that subtly manipulates LLM ranking outputs using optimized stealth prompts while evading detection.
Political-LLM: Large Language Models in Political Science
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu†, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, others
Transactions on Machine Learning Research 2024
A large-scale evaluation of political reasoning, ideology prediction, and bias in modern LLMs using political science benchmarks.