Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
LibRerankgithub.com · Low evidenceLibRerank is a toolkit that provides implementations of various re-ranking algorithms, including PRM, DLCM, GSF, miDNN, SetRank, EGRerank, and Seq2Slate. It also supports initial rankers like DNN and LambdaMART, and includes a maintained paper list on neural re-ranking for recommendation.
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