1 citations · 2 across the 3 of their papers we have counts for
5 papers
PsyMemBehav: Psychology-Informed and Memory-Grounded Two-Level Identity-to-Action Reasoning for Social-Media Behavior Simulation
Wenji Zhang, Xilong Cheng, Yunxiao Qin +8
Large language models (LLMs) support social simulation, but faithfully reproducing real users requires grounding both structured platform decisions and language in sparse, noisy be…
Role-Playing Agents Driven by Large Language Models: Current Status, Challenges, and Future Trends
Ye Wang, Jiaxing Chen, Hongjiang Xiao
In recent years, with the rapid advancement of large language models (LLMs), role-playing language agents (RPLAs) have emerged as a prominent research focus at the intersection of…
PsyMem: Fine-grained psychological alignment and Explicit Memory Control for Advanced Role-Playing LLMs
Xilong Cheng, Yunxiao Qin, Yuting Tan +4
Existing LLM-based role-playing methods often rely on superficial textual descriptions or simplistic metrics, inadequately modeling both intrinsic and extrinsic character dimension…
Casevo: A Cognitive Agents and Social Evolution Simulator
Zexun Jiang, Yafang Shi, Maoxu Li +5
In this paper, we introduce a multi-agent simulation framework Casevo (Cognitive Agents and Social Evolution Simulator), that integrates large language models (LLMs) to simulate co…
Mimicking the Mavens: Agent-based Opinion Synthesis and Emotion Prediction for Social Media Influencers
Qinglan Wei, Ruiqi Xue, Yutian Wang +3
Predicting influencers' views and public sentiment on social media is crucial for anticipating societal trends and guiding strategic responses. This study introduces a novel comput…