Multi-Agent Systems
813 papers
Papers per year
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3
3
1
2
4
12
9
8
6
27
32
70
77
102
109
88
135
116
7
'15
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'25
Papers
AgentReview: Exploring Peer Review Dynamics with LLM Agents
EMNLP 2024
Aligning Individual and Collective Objectives in Multi-Agent Cooperation
NeurIPS 2024
A Multitask Training Approach to Enhance Whisper with Open-Vocabulary Keyword Spotting
Interspeech 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
AISTATS 2024
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making
EMNLP 2024
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
NeurIPS 2024
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
EMNLP 2024
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
NeurIPS 2024
AUTOGEN STUDIO: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
EMNLP 2024
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
EMNLP 2024
BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change
AAAI 2024
BOBA: Byzantine-Robust Federated Learning with Label Skewness
AISTATS 2024
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
NeurIPS 2024
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
AAAI 2024
Coalition Formation for Task Allocation Using Multiple Distance Metrics (Student Abstract)
AAAI 2024
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
EMNLP 2024
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2024
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
AAAI 2024
Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication
AISTATS 2024
Content Filtering with Inattentive Information Consumers
AAAI 2024
Contracting with a Learning Agent
NeurIPS 2024
Convergence of No-Swap-Regret Dynamics in Self-Play
NeurIPS 2024
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games
AISTATS 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games
AISTATS 2024
CulturePark: Boosting Cross-cultural Understanding in Large Language Models
NeurIPS 2024