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DocReward: A Document Reward Model for Structuring and Stylizing research paper by Microsoft, 2025

Microsoft · Oct 13, 2025 · Alignment and safety · 1 citations · 27 upvotes · unverified

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What it shows

DocReward, a document reward model, evaluates and enhances the structural and stylistic quality of generated documents, outperforming GPT-4o and GPT-5 in both accuracy and human-preferred document generation.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Junpeng Liu, Yuzhong Zhao, Bowen Cao and 16 more
arXiv
2510.11391 · PDF
Venue
arXiv.org
Citations
1, 0 influential · Semantic Scholar
Upvotes
27 · Hugging Face
Code
github.com/Junpliu/DocReward
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 1Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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