3 papers
cs.CY2026
StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs
Pierre Le Jeune, Ãtienne Duchesne, Weixuan Xiao +4
Multilingual studies of social bias in open-ended LLM generation remain limited: most existing benchmarks are English-centric, template-based, or restricted to recognizing pre-spec…
stat.ME2026
Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data
Youmi Suk, Chenguang Pan, Weixuan Xiao
The role of AI-generated synthetic data has recently been expanded to support realistic Monte Carlo simulations. However, guidance is limited on generating data with multilevel str…
cs.AI2026
EDM-ARS: A Domain-Specific Multi-Agent System for Automated Educational Data Mining Research
Chenguang Pan, Zhou Zhang, Weixuan Xiao +1
In this technical report, we present the Educational Data Mining Automated Research System (EDM-ARS), a domain-specific multi-agent pipeline that automates end-to-end educational d…