LANCE is a novel paradigm enabling LLMs to continuously improve by autonomously generating, cleaning, and utilizing their own training data without human intervention.

• Creates a self-sustaining ecosystem where models generate increasingly high-quality data
• Eliminates dependency on expert-labeled datasets that often limit model performance
• Enables continuous evolution of language models through self-improvement cycles
• Represents a step toward truly autonomous AI systems that can self-optimize

This engineering breakthrough could significantly reduce data acquisition costs while potentially improving model capabilities beyond what's possible with traditional human-curated datasets.

Language Models as Continuous Self-Evolving Data Engineers