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Found 3 papers, 1 papers with code
Truthful Aggregation of LLMs with an Application to Online Advertising
Experimental results confirm that our mechanism not only converges efficiently to the optimally fine-tuned LLM but also significantly boosts advertiser value and platform revenue, all with minimal computational overhead.
Machine Learning-Powered Combinatorial Clock Auction
In this paper, we address this shortcoming by designing an ML-powered combinatorial clock auction that elicits information from the bidders only via demand queries (i. e., ``At prices $p$, what is your most preferred bundle of items?'').
Machine Learning-Powered Course Allocation
We study the course allocation problem, where universities assign course schedules to students.
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