Towards better multi-agent workflow construction
Project Description
Recent advancements in large foundation models have spurred interest in developing collaborative agents that work together to solve complex problems more effectively. However, designing efficient and effective agent workflows remains a significant challenge in the research community. This study aims to explore a systematic approach for constructing such workflows. This project is highly research-oriented, and it requires applicants to possess strong self-motivation and determination.
Supervisor
SONG Yangqiu
Quota
5
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP3200
UROP4100
Applicant's Roles
Working together with a PhD student on task formulation, designing experiments, analyzing results, and writing research papers.
Applicant's Learning Objectives
Have hands-on experience in playing with LLMs. Learn how to research with them for diverse reasoning scenarios.
Complexity of the project
Challenging