20 May 2025
Researchers introduce M-REWARDBENCH, the first multilingual executable benchmark for evaluating reward models (RMs) across 23 diverse languages, revealing a significant performance gap for RMs in non-English settings. The study found that generative RMs, utilizing LLMs as judges, demonstrate stronger multilingual generalization compared to classifier and implicit RMs.
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