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LMU Munich, Munich, Germany, Munich Center for Machine Learning, Munich, Germany
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LLMs can automate reproducibility assessments, achieving a 41% recovery rate of effect sizes鈥攐utperforming human analysts.
Men are 6 percentage points more likely to see ads from populist parties, raising alarms about gender bias in political ad delivery on social media.
LLM development is flying blind by ignoring causal inference, leaving models vulnerable to confounding and distribution shifts throughout pretraining, alignment, and evaluation.
Naive neural operator estimates of solution functional quantities can be significantly biased, but this paper provides a surprisingly simple debiasing technique to fix it.
Unstable estimates in long-term treatment effect prediction? These orthogonal learners use custom overlap weights to improve robustness in low-overlap settings common in long-term outcomes.
