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arXiv 2610.21046 · cs.CL · 2026-10-15

PremiseCheck: Efficient Fact-Checking of Human and AI Peer Reviews

Dingjie Song, Zhiling Yan, Ziqian Zhang, Yuxuan Zhang, Lichao Sun

Affiliation unverified

In latest · #26 2026-W43 #1 (in progress) Added on 2026-10-21

One-line takeaway

ReviewFact labels factual errors in peer reviews; PremiseCheck combines an LLM with cheap decision models to verify them efficiently.

ReviewFact 标注审稿意见中的事实错误,PremiseCheck 结合大模型和轻量判别模型低成本核查。

727HF upvotes
5GitHub stars
0Citations (Semantic Scholar)
72.5Buzz score

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About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)