We invite submissions to the AAAI 2026 Bridge Program on Advancing LLM-Based Multi-Agent Collaboration, to be held in Singapore during the AAAI 2026 conference (January 20, 2026).

This full-day program seeks to ignite discussion on cutting-edge research and challenges for bridging the gap between Large Language Models (LLMs) and Multi-Agent Systems (MAS) / Distributed AI. As LLMs continue to showcase the ability to coordinate multiple AI agents for complex problem-solving, the program will delve into pivotal open research questions that advance the understanding and potential of LLM-based multi-agent collaboration.

Topics

We invite submissions on a range of topics, including but not limited to:

* Interoperability: Design of protocols/methodologies that support a set of heterogeneous LLM-based agents to communicate, share knowledge, and collaborate reliably across platforms and modalities.
* Coordination & Planning: MAS methods (e.g., distributed planning, MARL-based methods) adapted to improve LLM-driven multi-agent systems that commonly use natural language as the interface of reasoning and communication.
* Knowledge Sharing & Memory: Architectures for stable, transparent sharing of context and memory among heterogeneous agents.
* Scalability & Robustness: Scaling from small teams of agents to large, dynamic populations while preventing instability.
* Social Norms & Governance: Embedding MAS insights on incentives, trust, and governance into LLM-driven agents to ensure alignment across a large number of agents.
* Evaluation & Benchmarks: Benchmarking the collaboration aspect of an LLM-based multi-agent system, such as extending the MAS benchmarks (e.g., PettingZoo, RoboCup) for LLM+MAS systems?

Format

The one-day program will feature invited talks, panel discussion, demos, oral and poster presentations. Additional details on speakers and the schedule will be available on our website. Similar to last year, we will elect one best paper from the submissions. Additional details on speakers and the schedule will be available on our website.

Submissions

We welcome both short papers (up to 4 pages) and long papers (up to 8 pages) following the AAAI format. Submissions may include recently published work, under-review papers, work in progress, and position papers. All submissions will undergo peer review through a double-blind process. While publication in our program is non-archival, accepted papers will be featured on our website with the author’s permission.

Submission Site

Please submit your work via: https://openreview.net/group?id=AAAI.org/2026/Workshop/WMAC

Important Dates

Submission deadline: October 31, 2025
Notification of acceptance: November 14, 2025
Workshop date: January 20, 2026

Organizing Committee

* Alborz Geramifard (LinkedIn)
* Alex Marin (Thomson Reuters)
* Raphael Shu (Acenta AI)
* Tao Yu (The University of Hong Kong)
* Weiyan Shi (Northeastern University)
* Yi Zhang (Amazon AWS GenAI)
* Yusen Zhang (Columbia University)

Additional information

* Website: https://multiagents.org
* Contact for inquiries: pc@multiagents.org