Multi-Agent Systems

Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplification and Resistance in Multi-Agent Based LLM-as-Judge EMNLP 2025 KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems ICML 2025 KELE: A Multi-Agent Framework for Structured Socratic Teaching with Large Language Models EMNLP 2025 K-Level Reasoning: Establishing Higher Order Beliefs in Large Language Models for Strategic Reasoning NAACL 2025 Knowledge-Aware Co-Reasoning for Multidisciplinary Collaboration EMNLP 2025 Knowledge Tagging with Large Language Model Based Multi-Agent System AAAI 2025 LangProBe: a Language Program Benchmark EMNLP 2025 Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective Tasks NAACL 2025 Large Language Model Agents in Finance: A Survey Bridging Research, Practice, and Real-World Deployment EMNLP 2025 Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning AAAI 2025 Last-iterate Convergence in Regularized Graphon Mean Field Game AAAI 2025 Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models ICLR 2025 Learning Classifiers That Induce Markets ICML 2025 Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision L4DC 2025 Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play JMLR 2025 Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis AISTATS 2025 Learning Production Functions for Supply Chains with Graph Neural Networks AAAI 2025 Learning Strategy Representation for Imitation Learning in Multi-Agent Games AAAI 2025 Learning to Collaborate with Unknown Agents in the Absence of Reward AAAI 2025 Learning to Communicate Through Implicit Communication Channels ICLR 2025 Learning to Negotiate via Voluntary Commitment AISTATS 2025 Learning to Steer Markovian Agents under Model Uncertainty ICLR 2025 Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control L4DC 2025 Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding AAAI 2025 Learning with Linear Function Approximations in Mean-Field Control JMLR 2025