UniRank unifies autoregressive and non-autoregressive list-wise reranking via bidirectional modeling in a confidence-ordered iterative denoising process, outperforming baselines on datasets and online tests.
Denoising neural reranker for rec- ommender systems
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UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising
UniRank unifies autoregressive and non-autoregressive list-wise reranking via bidirectional modeling in a confidence-ordered iterative denoising process, outperforming baselines on datasets and online tests.