Multi-Agent Systems

ResMAS: Resilience Optimization in LLM-based Multi-agent Systems AAAI 2026 RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents AAAI 2026 RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract) AAAI 2026 Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent Paradigms ACL 2026 Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance AAAI 2026 ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents ACL 2026 R-GDA: Reflective Guidance Data Augmentation with Multi-Agent Feedback for Domain-Specific Named Entity Recognition EACL 2026 RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation AAAI 2026 RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems ACL 2026 RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning CVPR 2026 RobuMTL: Enhancing Multi-Task Learning Robustness Against Weather Conditions WACV 2026 Robust Constrained Markov Games: Multi-Agent Decision-Making under Model Uncertainty and Constraints UAI 2026 Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience AAAI 2026 Robust Multiagent Combinatorial Path Finding AAAI 2026 Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection AAAI 2026 rosaOS: Agentic Operating System for Embodied LLMs ACL 2026 RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents ACL 2026 Safe Multi-agent Reinforcement Learning with Natural Language Constraints AAAI 2026 SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication AAAI 2026 SAGE: A Compositional Multi-Agent LLM Framework with Pedagogical Reasoning for Structured Collaborative Problem Solving AAAI 2026 Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation AAAI 2026 Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics AAAI 2026 Scalable Solutions to Zero-Sum Partially Observable Stochastic Games Through Belief Aggregation with Approximation Guarantees AAAI 2026 Scaling Equitable Reflection Assessment in Education via Large Language Models and Role-Based Feedback Agents AAAI 2026 Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration ACL 2026