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Author

Michael J. Curry

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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
#artificial intelligence Preprint Jun 2026

Confidence Composition for Multiagent Language Model Systems

This work studies confidence-aware routing and log-odds pooling protocols that select among candidate answers and output a system-level confidence, and proposes a shared dependence discount that substantially improves reliability while preserving predictions.

A. Elahi, Michael J. Curry, B. Di Eugenio · 0 citations

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