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An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems
Paper • 2505.18397 • Published • 1 -
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
Paper • 2505.16988 • Published -
Why Do Multi-Agent LLM Systems Fail?
Paper • 2503.13657 • Published • 47 -
A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application
Paper • 2412.17481 • Published
Collections
Discover the best community collections!
Collections including paper arxiv:2502.02533
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Reinforcement Learning for Long-Horizon Interactive LLM Agents
Paper • 2502.01600 • Published • 1 -
Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
Paper • 2311.06318 • Published • 3 -
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
Paper • 2502.12130 • Published • 2 -
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search
Paper • 2502.02584 • Published • 16
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Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
Paper • 2502.02533 • Published • 4 -
Self-Adapting Language Models
Paper • 2506.10943 • Published • 7 -
Small Language Models for Efficient Agentic Tool Calling: Outperforming Large Models with Targeted Fine-tuning
Paper • 2512.15943 • Published • 3
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GEO: Generative Engine Optimization
Paper • 2311.09735 • Published • 1 -
Toward an Evaluation Science for Generative AI Systems
Paper • 2503.05336 • Published • 2 -
OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning
Paper • 2502.11271 • Published • 18 -
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
Paper • 2502.02533 • Published • 4
-
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems
Paper • 2505.18397 • Published • 1 -
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
Paper • 2505.16988 • Published -
Why Do Multi-Agent LLM Systems Fail?
Paper • 2503.13657 • Published • 47 -
A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application
Paper • 2412.17481 • Published
-
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
Paper • 2502.02533 • Published • 4 -
Self-Adapting Language Models
Paper • 2506.10943 • Published • 7 -
Small Language Models for Efficient Agentic Tool Calling: Outperforming Large Models with Targeted Fine-tuning
Paper • 2512.15943 • Published • 3
-
GEO: Generative Engine Optimization
Paper • 2311.09735 • Published • 1 -
Toward an Evaluation Science for Generative AI Systems
Paper • 2503.05336 • Published • 2 -
OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning
Paper • 2502.11271 • Published • 18 -
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
Paper • 2502.02533 • Published • 4
-
Reinforcement Learning for Long-Horizon Interactive LLM Agents
Paper • 2502.01600 • Published • 1 -
Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
Paper • 2311.06318 • Published • 3 -
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
Paper • 2502.12130 • Published • 2 -
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search
Paper • 2502.02584 • Published • 16