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RecRM-Bench

Emerging
1papers using it
2026first seen

RecRM-Bench is a comprehensive benchmark containing over 1 million structured entries used to evaluate multidimensional reward modeling in agentic recommender systems across four core dimensions: instruction following, factual consistency, query-item relevance, and fine-grained user behavior prediction.

Papers using RecRM-Bench (1)

RecRM-Bench dataset β€” papers, benchmarks & downloads Β· Recommender Systems