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Daniel Yao

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#machine learning Preprint Oct 2026

MIRT: Transformers for Truthful Generative Auctions with Whole-feed Permutation Externalities

Modern online platforms commonly rank ads and organic content separately before blending them into a feed displayed to the user, overlooking externalities: an item's click-through rate depends on its surrounding content, not only on its own position. Recent learning-based feed generation mechanisms model some of these...

A. Elahi, Ermis Soumalias, J. Liang et al. · 0 citations

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