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

[DBLP Entry] [Google Scholar]

News

• 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.