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RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems

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Published in:ArXiv cs.IR Recent Papers
Format: Online Article RSS Article
Published: 2026
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spellingShingle RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems
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 RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems
title_auth RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems
title_full RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems
title_fullStr RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems
title_full_unstemmed RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems
title_short RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems
title_sort recrm-bench: benchmarking multidimensional reward modeling for agentic recommender systems
topic ArXiv cs.IR Recent Papers
Library Science
Library & Information Science
url https://arxiv.org/abs/2605.11874v1