Tag: AI Multi-Agent Systems
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MetaAgent-X: Advanced End-to-End Learning for Multi-Agent Systems
Discover MetaAgent-X, a breakthrough framework using end-to-end reinforcement learning to optimize automatic multi-agent systems for superior performance.
PolitNuggets: Benchmarking AI Discovery of Political Facts
PolitNuggets benchmark enhances AI's ability to discover and synthesize long-tail political facts across languages with advanced multi-agent evaluation.
Safety Risks of Invisible Orchestrators in Multi-Agent LLMs
Explore how invisible orchestrators in multi-agent LLM systems increase safety risks by suppressing protective behaviors and causing agent dissociation.
Benchmarking Hierarchical Agent Coordination in Industrial Scheduling
Explore DESBench, a benchmark for evaluating hierarchical agent coordination in event-driven industrial scheduling with multi-agent systems.
Automated Multi-Agent Framework for VC Due Diligence
Discover an AI-driven multi-agent framework enhancing venture capital due diligence with real-time data, LLM integration, and accurate financial analysis.