Quan Bai — accepted AI-conference papers

2024

An LLM-enhanced Agent-based Simulation Tool for Information Propagation

Yuxuan Hu, Gemju Sherpa, Lan Zhang, Weihua Li, Quan Bai, Yijun Wang +1

IJCAI 2024poster

Influence diffusion models are used for simulating information propagation in social networks. While most existing influence diffusion models are probabilistic, the emergence of Large Language Model (LLM) sheds light on the language-level inferences and interactions of user agents. This paper presen…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2022

AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society

Yuxuan Hu, Shiqing Wu, Chenting Jiang, Weihua Li, Quan Bai, Erin Roehrer

IJCAI 2022poster

AI recommendation techniques provide users with personalized services, feeding them the information they may be interested in. The increasing personalization raises the hypotheses of the "filter bubble" and "echo chamber" effects. To investigate these hypotheses, in this paper, we inspect the impact…

Cited by 10 Source ↗PDF ↗Scholar ↗