Factorized codes for permutations let standard transformers learn arbitrary permutation distributions with guaranteed validity, and the paper adds a fast insertion-vector decoding theorem plus two new benchmarks.
The repeated insertion model for rankings: Missing link between two subset choice models
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Learning Distributions over Permutations and Rankings with Factorized Representations
Factorized codes for permutations let standard transformers learn arbitrary permutation distributions with guaranteed validity, and the paper adds a fast insertion-vector decoding theorem plus two new benchmarks.