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[1410.1462] Top Rank Optimization in Linear Time

ranking are focused on optimizing ranking accuracy at the top of the ranked list. Most existing appr... arXiv-issued DOI via DataCite Journal reference: NIPS 2014 Submission history Access Paper: V...
arxiv.org

Towards More Relevant Product Search Ranking Via Large Language ...

Training Learning-to-Rank models for e-commerce product search ranking can be challenging due... we introduce different sigmoid transformations on the LLM outputs to polarize relevance scores in ...

arxiv.org

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...of Functional Connectivity Modeling via Structure-aware Core-set Selection

while SCLCS identifies stable samples via a top-k ranking, we further introduce a density-balanced sampling strategy as a necessary correction to promote diversity, ensuring the final core-set is both...

arxiv.org

[2509.22415] Explaining multimodal LLMs via intra-modal token interactions

we propose \textit{Activation Ranking Correlation} (ARC), which measures the relevance of contextual tokens to the current token via alignment of their top-$k$ prediction rankings. ARC leverages this...

arxiv.org

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[2201.13287] Top-K Ranking Deep Contextual Bandits for Information ...

View a PDF of the paper titled Top-K Ranking Deep Contextual Bandits for Information Selection S... arXiv-issued DOI via DataCite Journal reference: 2021 IEEE International Conference on Systems...

arxiv.org
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