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Ben-Gurion University of the Negev
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Standard notions of algorithmic fairness can be arbitrarily expensive in resource-constrained settings, but modified versions of proportional fairness and equal opportunity offer bounded costs.
LLMs can now adaptively survey the *right* people, not just ask the *right* questions, boosting response prediction by 12% while querying only 10% of the population.
