AnalysisAI ModelsOctober 1, 2026

AutoDataBench isolates data quality as the variable in auto-research agents

Read original source →arxiv.org

Two AutoDataBench papers argue existing auto-research benchmarks entangle training frameworks, hyperparameters, compute budgets and data, making it hard to attribute why one frontier agent beats another. One isolates data as the variable; the other asks whether agents can write the data feeding the self-improvement loop.

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