1 citations · 1 across the 3 of their papers we have counts for
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Questioning the Survey Responses of Large Language Models
Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner
Surveys have recently gained popularity as a tool to study large language models. By comparing survey responses of models to those of human reference populations, researchers aim t…
An engine not a camera: Measuring performative power of online search
Celestine Mendler-Dünner, Gabriele Carovano, Moritz Hardt
The power of digital platforms is at the center of major ongoing policy and regulatory efforts. To advance existing debates, we designed and executed an experiment to measure the p…
What Makes ImageNet Look Unlike LAION
Ali Shirali, Moritz Hardt
ImageNet was famously created from Flickr image search results. What if we recreated ImageNet instead by searching the massive LAION dataset based on image captions alone? In this…
Do causal predictors generalize better to new domains?
Vivian Y. Nastl, Moritz Hardt
We study how well machine learning models trained on causal features generalize across domains. We consider 16 prediction tasks on tabular datasets covering applications in health,…
Decline Now: A Combinatorial Model for Algorithmic Collective Action
Dorothee Sigg, Moritz Hardt, Celestine Mendler-Dünner
Drivers on food delivery platforms often run a loss on low-paying orders. In response, workers on DoorDash started a campaign, #DeclineNow, to purposefully decline orders below a c…
Evaluating language models as risk scores
André F. Cruz, Moritz Hardt, Celestine Mendler-Dünner
Current question-answering benchmarks predominantly focus on accuracy in realizable prediction tasks. Conditioned on a question and answer-key, does the most likely token match the…