Tag: AI Multi-Agent Systems
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Preventing Insider Attacks in Multi-Agent LLM Systems
Explore strategies to detect and mitigate insider attacks in multi-agent large language model consensus systems for improved AI security.
NanoResearch: Personalized Automation for Smarter Research
Discover NanoResearch, an AI framework that personalizes research automation by evolving skills, memory, and policies for efficient, user-centric results.
TMAS: Boost Test-Time Compute with Multi-Agent Reasoning
Discover TMAS, a multi-agent framework that scales test-time compute to enhance large language model reasoning and inference efficiency.
STAR: Failure-Aware Markov Routing for Multi-Agent AI
Discover STAR, a failure-aware Markov routing framework enhancing multi-agent spatiotemporal reasoning with dynamic recovery and improved AI performance.
RADAR: Efficient Multi-Agent Communication Structure Generation
Discover RADAR, a redundancy-aware diffusion framework that optimizes multi-agent communication for higher accuracy and lower token use in AI systems.