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Methodology
← Core AI
Artificial Intelligence
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Multi-Agent Systems
3306 directly classified papers
Papers per year
2003: 3
2005: 4
2006: 6
2007: 10
2008: 10
2009: 11
2010: 8
2011: 12
2012: 11
2013: 25
2014: 18
2015: 19
2016: 25
2017: 96
2018: 117
2019: 248
2020: 262
2021: 315
2022: 287
2023: 339
2024: 453
2025: 737
2026: 290
Papers
DanceHA: A Multi-Agent Framework for Document-Level Aspect-Based Sentiment Analysis
AAAI 2026
Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution
AAAI 2026
An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counseling
AAAI 2026
HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems
AAAI 2026
RECoRD: A Multi-Agent LLM Framework for Reverse Engineering Codebase to Relational Diagram
AAAI 2026
LungNoduleAgent: A Collaborative Multi-Agent System for Precision Diagnosis of Lung Nodules
AAAI 2026
Augmented Runtime Collaboration for Self-Organizing Multi-Agent Systems: A Hybrid Bi-Criteria Routing Approach
AAAI 2026
EcoAgent: An Efficient Device-Cloud Collaborative Multi-Agent Framework for Mobile Automation
AAAI 2026
MPAS: Breaking Sequential Constraints of Multi-Agent Communication Topologies via Individual-Epistemic Message Propagation
AAAI 2026
WRitEer: A Multi-Objective, Preference-Driven Multi-Agent Framework for Human-Like Advanced Text Generation
AAAI 2026
Enhancing PIBT via Multi-Action Operations
AAAI 2026
Analyze–Compose–Execute: A Dynamic Dialogue Framework for Multi-Agent Debate
AAAI 2026
Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction
AAAI 2026
Unifying Multi-View Knowledge for Graph Learning via Model Collaboration
AAAI 2026
Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits
AAAI 2026
Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
AAAI 2026
M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference
AAAI 2026
Autonomous Partner Selection for Cooperative Multi-Agent Reinforcement Learning
AAAI 2026
DAWN: Distributed LLM Multi-Agent Workflow Synthesis
AAAI 2026
Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems
AAAI 2026
Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data
AAAI 2026
Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN
AAAI 2026
Next Generation Active Learning: Mixture of LLMs in the Loop
AAAI 2026
SDE-HARL: Scalable Distributed Policy Execution for Heterogeneous-Agent Reinforcement Learning
AAAI 2026
CoLM: Collaborative Large Models via a Client-Server Paradigm
AAAI 2026
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