Tag: LLM multi-agent systems
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SEW: Automated Self-Evolving Workflows for Code Generation
Discover SEW, a self-evolving workflow framework that automates and optimizes code generation, boosting performance and adaptability in complex coding task...
Extending Rational Choice: Value Refinement in AI Decisions
Discover how value refinement transforms decision-making frameworks, enabling ethical AI and improved outcomes in multi-agent settings.
AutoSurrogate: LLM-Powered Deep Learning Surrogates for Flow
AutoSurrogate uses LLM-driven multi-agent AI to build deep learning surrogate models for subsurface flow, enabling fast, expert-free simulations.
MemJack: Advanced Multi-Agent Jailbreak Attacks on VLMs
Discover MemJack, a memory-augmented multi-agent framework exposing deep vulnerabilities in Vision-Language Models with 90% attack success rate.
Inferring Communication Topology in LLM Multi-Agent Systems
Explore how Communication Inference Attack reveals topology in LLM-based multi-agent systems, exposing privacy risks and security vulnerabilities.