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MLPs are Efficient Distilled Generative Recommenders

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Published in:ArXiv cs.IR Recent Papers
Format: Online Article RSS Article
Published: 2026
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description
discipline_display Library & Information Science
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format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet ArXiv cs.IR Recent Papers
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle MLPs are Efficient Distilled Generative Recommenders
ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
sub_discipline_display Library Science
sub_discipline_facet Library Science
subject_display ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
subject_facet ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
title MLPs are Efficient Distilled Generative Recommenders
title_auth MLPs are Efficient Distilled Generative Recommenders
title_full MLPs are Efficient Distilled Generative Recommenders
title_fullStr MLPs are Efficient Distilled Generative Recommenders
title_full_unstemmed MLPs are Efficient Distilled Generative Recommenders
title_short MLPs are Efficient Distilled Generative Recommenders
title_sort mlps are efficient distilled generative recommenders
topic ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
url https://arxiv.org/abs/2605.12617v1