<ul><li>AI-generated text is proliferating across domains, from creative writing and journalism to marketing content and scientific articles.</li><li>Writing quality assessment has received less attention from the community, in part because it is fundamentally subjective and requires expertise.</li><li>Researchers have introduced the Writing Quality Benchmark (WQ) by consolidating five writing-preference datasets into 4,729 writing quality judgments.</li><li>Specialized Writing Quality Reward Models (WQRM) demonstrate strong generalization and practical benefits during inference, producing preferred writing samples.</li></ul>

AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computation

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