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Generating agentic data isn't just about quantity; it's about crafting valid, informative experiences that evolve alongside agents and their environments.
SpanUQ reveals that span-level uncertainty quantification can enhance both the accuracy and efficiency of LLM outputs, outperforming existing methods by a factor of 10-20x.
