← Core AI
Artificial Intelligence › Core AI ›

Multi-Agent Systems

3306 directly classified papers

Papers per year

Papers

RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems AAAI 2026
AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search AAAI 2026
MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies AAAI 2026
Scope Delineation Before Localization: A Two-Stage Framework for Enhancing Failure Attribution in Multi-Agent Systems AAAI 2026
Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning AAAI 2026
Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning AAAI 2026
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems AAAI 2026
MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework AAAI 2026
Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection AAAI 2026
Shadows in the Code: Exploring the Risks and Defenses of LLM-based Multi-Agent Software Development Systems AAAI 2026
ShortageSim: Simulating Drug Shortages Under Information Asymmetry AAAI 2026
Evaluating Online Moderation via LLM-Powered Counterfactual Simulations AAAI 2026
Agentmandering: A Game-Theoretic Framework for Fair Redistricting via Large Language Model Agents AAAI 2026
Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection AAAI 2026
AgroAskAI: A Multi-Agentic AI Framework for Supporting Smallholder Farmers’ Enquiries Globally AAAI 2026
Diversity Meets Relevancy: Multi-Agent Knowledge Probing for Industry 4.0 Applications AAAI 2026
AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition AAAI 2026
SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations AAAI 2026
Strategic Tool Enhanced AI Agent for Multi-Issue Negotiation (Student Abstract) AAAI 2026
PANDA: Empowering Small Language Models for Proactive Dialogue Through Agent-Based Synthesis (Student Abstract) AAAI 2026
OMEGA: An Ontology-Driven Tool for Explaining Multi-Agent Path Finding AAAI 2026
A Visualized Framework for Event Cooperation with Generative Agents AAAI 2026
Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games AAAI 2026
FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing AAAI 2026
Fairness in the Multi-Secretary Problem AAAI 2026