AINeutralarXiv – CS AI · 10h ago5/10
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Contextual Plackett-Luce: An Efficient Neural Model for Probabilistic Sequence Selection under Ambiguity
Researchers propose Contextual Plackett-Luce (CPL), a neural probabilistic model for sequence selection that balances computational efficiency with representational flexibility. The model addresses the challenge of predicting multi-modal outputs from single training examples by combining parallel scoring with lightweight autoregressive selection, demonstrating improvements on path prediction and subset selection tasks.