[CfP] Workshop on LLM-Based Multi-Agent Collaboration at AAAI 2025

AG
Alborz Geramifard
Tue, Oct 8, 2024 12:36 AM

I am excited to announce a workshop on LLM-Based Multi-Agent Collaboration at AAAI 2025 (Philadelphia, February 25 - March 4, 2025). As research continues to show the immense potential of multi-agent systems powered by large language models (LLMs), we’re organizing this event to foster discussion and explore cutting-edge challenges and opportunities in this rapidly evolving field. I’m reaching out to see if you or any of your students would be interested in submitting a paper to this workshop.

Workshop Highlights

This full-day event will delve into critical topics like:

Architectures for multi-agent collaboration, decision-making, and hierarchy
Cross-agent knowledge sharing & communication protocols
Distributed, decentralized agents & group behavior learning
Strategic planning in multi-agent systems
Guardrails and ethical considerations for multi-agent systems
Key Dates

Submission Deadline: November 24, 2024
Acceptance Notification: December 9, 2024
Workshop Date: March 4th
Submission Guidelines

We invite short papers (up to 4 pages) and long papers (up to 8 pages) in AAAI format. Submissions can include published work, papers under review, work in progress, and position papers. All papers will undergo single-blind peer review, and accepted papers will be featured on our website with the authors’ permission. For more information and to submit your work, please visit our workshop website: https://multiagents.org/workshop.

We would be thrilled to see your submissions and welcome you to join us for engaging discussions at AAAI 2025!

Organizing Committee

Alborz Geramifard https://sites.google.com/view/alborz-geramifard/home (Meta)
Alex Marin https://www.linkedin.com/in/alex-marin-210802b7/ (Microsoft)
Raphael Shu https://www.amazon.science/author/raphael-shu (Amazon)
Tao Yu https://taoyds.github.io/ (The University of Hong Kong)
Weiyan Shi https://wyshi.github.io/ (Northeastern University)
Yi Zhang https://www.amazon.science/author/yi-zhang (Amazon)

Best,
—————————
Alborz Geramifard https://sites.google.com/view/alborz-geramifard/home

I am excited to announce a workshop on LLM-Based Multi-Agent Collaboration at AAAI 2025 (Philadelphia, February 25 - March 4, 2025). As research continues to show the immense potential of multi-agent systems powered by large language models (LLMs), we’re organizing this event to foster discussion and explore cutting-edge challenges and opportunities in this rapidly evolving field. I’m reaching out to see if you or any of your students would be interested in submitting a paper to this workshop. Workshop Highlights This full-day event will delve into critical topics like: Architectures for multi-agent collaboration, decision-making, and hierarchy Cross-agent knowledge sharing & communication protocols Distributed, decentralized agents & group behavior learning Strategic planning in multi-agent systems Guardrails and ethical considerations for multi-agent systems Key Dates Submission Deadline: November 24, 2024 Acceptance Notification: December 9, 2024 Workshop Date: March 4th Submission Guidelines We invite short papers (up to 4 pages) and long papers (up to 8 pages) in AAAI format. Submissions can include published work, papers under review, work in progress, and position papers. All papers will undergo single-blind peer review, and accepted papers will be featured on our website with the authors’ permission. For more information and to submit your work, please visit our workshop website: https://multiagents.org/workshop. We would be thrilled to see your submissions and welcome you to join us for engaging discussions at AAAI 2025! Organizing Committee Alborz Geramifard <https://sites.google.com/view/alborz-geramifard/home> (Meta) Alex Marin <https://www.linkedin.com/in/alex-marin-210802b7/> (Microsoft) Raphael Shu <https://www.amazon.science/author/raphael-shu> (Amazon) Tao Yu <https://taoyds.github.io/> (The University of Hong Kong) Weiyan Shi <https://wyshi.github.io/> (Northeastern University) Yi Zhang <https://www.amazon.science/author/yi-zhang> (Amazon) Best, ————————— Alborz Geramifard <https://sites.google.com/view/alborz-geramifard/home>