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Xiancheng Gao

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Preprint Jul 2026

PSG: Pair-Space Generation for Efficient Generative Reranking

Pair-Space Generation (PSG), a reformulation that elevates the generation atom from individual items to ordered item pairs and establishes three theoretical guarantees that it is bijective with item-space generation and induces an equivalent family of sequence distributions, thus incurring no loss of expressiveness.

Chao Feng, Li Ma, Xiancheng Gao et al. · 0 citations