AIBullisharXiv – CS AI · 6h ago7/10
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ANDES: Agent Native Data Evolving Synthesis Tool for Autonomous Instruction Alignment
Researchers introduce ANDES, a framework that enables AI agents to autonomously generate high-quality training data for LLM alignment by abstracting complex data-gathering tasks into a manageable agent skill. The system uses a self-evolving World Tree routing mechanism to help agents navigate noisy web environments and achieve state-of-the-art performance on alignment benchmarks despite computational constraints.