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Multilingual Reward Modeling research benchmarks · SOTA2 Research

Multilingual Reward Modeling

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

MM-Eval Avg. 18 lang

DIBJudge-Qwen3-8B

87.53Accuracy

14

Mar 12, 2026

m-RewardBench Avg. 23 langs

DIBJudge-Qwen3-8B

91.37Accuracy

14

Mar 12, 2026

Popular datasets

RewardBench MM-Eval

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