AutoDataBench: Can Agents Write the Data That Feeds the Self-Improvement Loop?

arXiv:2609.35025v1 Announce Type: new Abstract: Recent gains in language model capability have come more from data than from architecture. Frontier labs and data companies produce verifiable agentic tasks, which supervised finetuning and reinforcement learning