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Article

When AI Reviews Science: Can We Trust the Referee?

2025-11-20

Abstract excerpt

The volume of scientific submissions continues to climb, outpacing the capacity of qualified human referees and stretching editorial timelines. At the same time, modern large language models (LLMs) offer impressive capabilities in summarization, fact checking, and literature triage, making the integration of AI into peer review increasingly attractive—and, in practice, unavoidable. Yet early deployments and inform...

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Identifiers and source

Literature Corpus work
13eb909c-da22-5070-ba55-c3ecf0a3c314
DOI
10.20944/preprints202511.1542.v1
Open publication

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When AI Reviews Science: Can We Trust the Referee?DOI 10.20944/preprints202511.1542.v1
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