1 citations · 1 across the 4 of their papers we have counts for
4 papers
MGDIL: Multi-Granularity Summarization and Domain-Invariant Learning for Cross-Domain Social Bot Detection
Boyu Qiao, Yunman Chen, Kun Li +3
Social bots increasingly infiltrate online platforms through sophisticated disguises, threatening healthy information ecosystems. Existing detection methods often rely on modality…
Mem2ActBench: A Benchmark for Evaluating Long-Term Memory Utilization in Task-Oriented Autonomous Agents
Yiting Shen, Kun Li, Wei Zhou +1
Large Language Model (LLM)-based agents are increasingly deployed for complex, tool-based tasks where long-term memory is critical to driving actions. Existing benchmarks, however,…
BotSim: LLM-Powered Malicious Social Botnet Simulation
Boyu Qiao, Kun Li, Wei Zhou +3
Social media platforms like X(Twitter) and Reddit are vital to global communication. However, advancements in Large Language Model (LLM) technology give rise to social media bots w…
Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
Kun Li, Chenwei Dai, Wei Zhou +1
Large language models (LLMs) have demonstrated impressive capabilities in role-playing tasks. However, there is limited research on whether LLMs can accurately simulate user behavi…