Research Papers
At the Zurich Center for Market Design, we study how modern AI complements
economic theory and mechanism design — aiming for systems that are
efficient, fair, and robust to strategic behavior.
Below, we showcase a selection of our recent research at the intersection of market design, artificial intelligence, and machine learning.
LLM-Powered Preference Elicitation in Combinatorial Assignment
Ermis Soumalias, Yanchen Jiang, Kehang Zhu, Michael Curry, Sven Seuken, David C. Parkes
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Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All
Ermis Soumalias, Jakob Heiss, Jakob Weissteiner, Sven Seuken
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Machine Learning-Powered Course Allocation
Ermis Soumalias, Behnoosh Zamanlooy, Jakob Weissteiner, Sven Seuken
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Truthful Aggregation of LLMs with an Application to Online Advertising
Ermis Soumalias, Michael J. Curry, Sven Seuken
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Learning to Steer Markovian Agents Under Model Uncertainty
Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich Nax, Niao He
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