activity
20242026
most citedTrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20261 cited

HumanLLM: Towards Personalized Understanding and Simulation of Human Nature

Yuxuan Lei, Tianfu Wang, Jianxun Lian +3

Motivated by the remarkable progress of large language models (LLMs) in objective tasks like mathematics and coding, there is growing interest in their potential to simulate human…

cs.CL2025

Population-Aligned Persona Generation for LLM-based Social Simulation

Zhengyu Hu, Jianxun Lian, Zheyuan Xiao +7

Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social…

cs.AI2025

LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System

Tianfu Wang, Yi Zhan, Jianxun Lian +5

Intelligent Tutoring Systems (ITSs) have revolutionized education by offering personalized learning experiences. However, as goal-oriented learning, which emphasizes efficiently ac…

cs.SI20242 cited

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System

Zeyu Zhang, Jianxun Lian, Chen Ma +9

Trending topics have become a significant part of modern social media, attracting users to participate in discussions of breaking events. However, they also bring in a new channel…

cs.CL2024

CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds

Lei Wang, Jianxun Lian, Yi Huang +5

Role-playing is a crucial capability of Large Language Models (LLMs), enabling a wide range of practical applications, including intelligent non-player characters, digital twins, a…