Say the Task, Build the Team: Prompt-Based Team Formation

Lingling Zhang, Radin Hamidi Rad, Morteza Zihayat, Ebrahim Bagheri
January 2025

Abstract

This paper presents a prompt-based approach for team formation, where natural language task descriptions are used to automatically identify and assemble optimal teams from collaboration networks.

Type
Conference paper
Publication
International Conference on Advances in Social Networks Analysis and Mining

This work introduces a novel prompt-based framework for automated team formation from collaboration networks.

Team Formation Natural Language Processing Collaboration Networks Prompt Engineering
Lingling Zhang
Lingling Zhang
PhD Student

Lingling Zhang is a PhD student in the Human-Centered Machine Intelligence Lab, working on privacy-first cloud resource prediction.

Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.