arXiv AI
Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence
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Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence
LLMs have evolved from language generators to autonomous agents capable of complex, long-horizon tasks. This evolution has produced paradigms including Prompt Engineering to elicit model capabilities,...
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Self-Evolving Agents as Dynamic Graph Transformation: A Survey and New Perspective
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Focus Is All You Need: Adaptive Goal-aware Attention Orchestration for Multi-Agent Graph Systems
arXiv:2607. 23678v1 Announce Type: new Abstract: Large language models (LLMs) enable autonomous agents for reasoning, planning, and tool use.
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OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems
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arXiv AI
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MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph
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arXiv AI
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Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization
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