Bilevel Autoresearch: Using Autoresearch to Optimize Autoresearch Itself
arXiv·high signal
Qu and Lu take the meta-autoresearch idea literally: they run an autoresearch loop to optimize the parameters, prompts, and strategies of the autoresearch loop itself. The bilevel optimization treats the inner loop as the research executor and the outer loop as the research strategy optimizer. Directly relevant to anyone building autonomous research agents—the system improves its own research methodology over successive runs.