activity
20242026
collaborators

7 papers

cs.CL2026

Characterizing Rhetorical Misalignment in Decision-Making with Language Models

Zirui Cheng, Joey Chan, Simo Du +3

Human decision-making is often shaped by a range of well-documented cognitive biases. As large language models (LLMs) become increasingly integrated into high-stakes human-AI decis…

cs.AI2026

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games

Zirui Cheng, Zeyu Shen, Thomas L. Griffiths +1

People make decisions differently in strategic interactions. Some update beliefs like a Bayesian; others exhibit biases like motivated reasoning. Although creators of large languag…

cs.CL2026

Must Read: A Comprehensive Survey of Computational Persuasion

Nimet Beyza Bozdag, Shuhaib Mehri, Xiaocheng Yang +7

Persuasion is a fundamental aspect of communication, influencing decision-making across diverse contexts, from everyday conversations to high-stakes scenarios such as politics, mar…

cs.AI2026

Towards Strategic Persuasion with Language Models

Zirui Cheng, Jiaxuan You

Large language models (LLMs) have demonstrated strong persuasive capabilities comparable to those of humans, offering promising benefits while raising societal concerns. However, s…

cs.CR2025

Secure Retrieval-Augmented Generation against Poisoning Attacks

Zirui Cheng, Jikai Sun, Anjun Gao +4

Large language models (LLMs) have transformed natural language processing (NLP), enabling applications from content generation to decision support. Retrieval-Augmented Generation (…

cs.CL2025

ResearchTown: Simulator of Human Research Community

Haofei Yu, Zhaochen Hong, Zirui Cheng +5

Large Language Models (LLMs) have demonstrated remarkable potential in scientific domains, yet a fundamental question remains unanswered: Can we simulate human research communities…