Ranking generation is reduced to learning a latent preference distribution on a simplex, with flow matching used to sample new preference weights and the fitted Plackett-Luce model used to decode rankings.
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Population-Level Generative Modeling for Ranking Data
Ranking generation is reduced to learning a latent preference distribution on a simplex, with flow matching used to sample new preference weights and the fitted Plackett-Luce model used to decode rankings.