WEval and WRL introduce fine-grained benchmarking and requirement-selective sample construction for training writing reward models, yielding substantial gains on writing benchmarks with strong generalization.
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From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks
WEval and WRL introduce fine-grained benchmarking and requirement-selective sample construction for training writing reward models, yielding substantial gains on writing benchmarks with strong generalization.