Siyu Yuan (员司雨) is a third-year Ph.D. student at Fudan University. She is devoted to making machines have human-like cognitive abilities and aligning autonomous generative agents with human cognition. Her research topics are mostly around cognitive science with generative agents, including (but not limited to)
Ph.D., Statistics, 2021-2026 (estimated)
Fudan University
B.S., Bachelor of Data Science and big data technology, 2017-2021
Fudan University
EvoAgent is a generic method to automatically extend expert agents to multi-agent systems via the evolutionary algorithm. EvoAgent can be generalized to any LLM-based agent framework, and can automatically extend the existing agent framework to multi-agent systems without any extra human designs.
We propose a million-scale analogy knowledge base derived from existing knowledge graphs to enhance the analogical reasoning capabilities of LMs.
EasyTool is a framework designed to enhance the ability of LLM-based agents to use tools by simplifying and standardizing tool documentation.