Tag: LLM multi-agent systems
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Adaptive Memory for LLMs via Multi-Agent Collaboration
Discover AMA, an adaptive memory framework using multi-agent collaboration to enhance long-term interaction and reasoning in Large Language Models.
Ensuring Safety and Security in Agentic AI Systems
Discover a unified framework formalizing safety, security, and functionality in agentic AI systems for reliable multi-agent coordination.
Enhanced Automated Driving with MPC and Deep Reinforcement Learning
Discover how combining Model Predictive Control and Deep Reinforcement Learning improves safety and efficiency in multi-agent automated driving scenarios.
Fairness Emerges in Multi-Agent AI Collaboration
Explore how fairness arises from multi-agent AI interactions, overcoming biases and Arrow's Impossibility in collaborative decision-making.
AgentForge: Multi-Agent LLM Framework for Verified Code
AgentForge uses multi-agent LLMs with execution-grounded verification to enhance autonomous software engineering and ensure reliable code generation.