Tag: LLM multi-agent systems
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Agent-BOM: Unified Security Auditing for LLM Agents
Discover Agent-BOM, a novel graph-based framework enhancing security audits for LLM agentic systems by bridging semantic gaps and assessing risks.
GraphDC: Scalable Divide-and-Conquer for Graph Algorithms
Discover GraphDC, a scalable multi-agent system using divide-and-conquer to enhance graph algorithm reasoning with AI and large language models.
Optimizing LLM Multi-Agent Communication with Active Learning
Discover how active learning enhances communication structure in LLM multi-agent systems, boosting performance and reducing token use efficiently.
MASPO: Optimizing Prompts for LLM Multi-Agent Systems
Discover MASPO, a novel framework that optimizes prompts for LLM-based multi-agent systems, boosting collaboration and task performance.
Measuring Workflow Fidelity in LLM-Based Payment Systems
Discover how Agentic Success Rate (ASR) improves evaluation of LLM-based payment workflows beyond traditional metrics like TSR and HF1.