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Methodology
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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
EducationQ: Evaluating LLMs’ Teaching Capabilities Through Multi-Agent Dialogue Framework
ACL 2025
Continuously evolving rewards in an open-ended environment
JMLR 2025
AttributeForge: An Agentic LLM Framework for Automated Product Schema Modeling
EMNLP 2025
Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning
AAAI 2025
Debate4MATH: Multi-Agent Debate for Fine-Grained Reasoning in Math
ACL 2025
Explanations for Multi-Agent Reinforcement Learning
AAAI 2025
1-2-3 Check: Enhancing Contextual Privacy in LLM via Multi-Agent Reasoning
ACL 2025
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework
AAAI 2025
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy
AAAI 2025
DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions
AAAI 2025
FedCross: Intertemporal Federated Learning Under Evolutionary Games
AAAI 2025
Sequential Decision Making in Stochastic Games with Incomplete Preferences over Temporal Objectives
AAAI 2025
CALM: Consensus-Aware Localized Merging for Multi-Task Learning
ICML 2025
Enhancing LLM-Based Social Bot via an Adversarial Learning Framework
EMNLP 2025
ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant
AAAI 2025
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
ACL 2025
NewsInterview: a Dataset and a Playground to Evaluate LLMs’ Grounding Gap via Informational Interviews
ACL 2025
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
ACL 2025
Mind the (Belief) Gap: Group Identity in the World of LLMs
ACL 2025
CtrlNews: LLM-based Multi-Agent Controllable News Writing via Knowledge Gravitational Field
EMNLP 2025
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks
AAAI 2025
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
EMNLP 2025
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
COLING 2025
From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing
EMNLP 2025
Computing Game Symmetries and Equilibria That Respect Them
AAAI 2025
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