Chuan XIAO
Associate Professor
Osaka University / Nagoya University
Chuan XIAO
Associate Professor
Osaka University / Nagoya University
Email: chuanx [at] nagoya-u.jp
Phone: +81-6-6105-6502
Address:
Graduate School of Information Science and Technology
Osaka University
1-5, Yamadaoka, Suita, Osaka 565-0871
Japan
We argue that LLM-based social simulations need clear boundaries to meaningfully contribute to social science research.
We analyze 7 security challenges that must be solved in cross-domain multi-agent LLM systems.
We study the probabilistic kernel functions for fast angle testing and use them for ANNS.
ESG: We propose a solution to range-filtering ANNS.
VLM & LLM fusion: We are excited to share some fascinating discoveries on combining Vision-Language Models (VLMs) with large language models (LLMs).
LFP: We introduced the task of legal fact prediction and constructed a dataset for civil loan cases. Experiments were conducted using GPT-4o agents. [benchmark]
Truth-Shapley: We investigated data overvaluation attack in federated learning and proposed a data valuation metric as a solution to truthful data valuation.
SAS: We are excited to announce the launch of SAS (Smart Agent Survey), a software designed for automated surveys utilizing LLM agents. Users can upload their questionnaires in various formats (DOCX, PDF, etc.). The software employs LLM agents to simulate respondent answers, making it a valuable tool for marketing strategies and policy-making.
I am an associate professor with the Big Data Engineering Laboratory at Osaka University and a guest associate professor with the Database Laboratory at Nagoya University.
I graduated from the University of New South Wales in 2010, under the supervision of Xuemin Lin and Wei Wang.
My research interests focus on artificial intelligence, computer simulation, data science, and natural language processing. In detail, I explore the following research fields:
Agent-based modeling
Computational social science
Data management
Foundation models