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näkemys - Auction design
Optimizing Ad Summaries with Prominence-based Auctions and Large Language Models
A factorized framework combining an auction module and an LLM module to generate welfare-maximizing ad summaries in an incentive-compatible manner.
Efficient Combinatorial Clock Auction Powered by Machine Learning
Our ML-powered combinatorial clock auction (ML-CCA) significantly outperforms the traditional combinatorial clock auction (CCA) in terms of efficiency, achieving up to 9% higher efficiency in a substantially reduced number of rounds.
Leveraging Multi-Task Learning to Enhance Preference Elicitation in Iterative Combinatorial Auctions with Many Participants
Integrating multi-task learning into machine learning-powered iterative combinatorial auctions can improve efficiency by leveraging shared information across bidders with similar valuation functions.
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