Effectiveness and risks of LLM-based reviewer agents in peer review

Evaluate whether specialized Large Language Model–based reviewer agents improve editorial and peer review by helping editors and reviewers focus on substantive contributions, or whether such agents introduce new and unforeseen challenges to the scientific process.

Background

The paper documents that traditional linguistic heuristics (e.g., writing complexity) have become unreliable signals of scientific merit in LLM-assisted manuscripts, creating screening challenges for editors and reviewers.

As a potential response, the authors suggest specialized LLM "reviewer agents" to assist with methodological checks and novelty assessment, but explicitly note uncertainty about whether this approach will help or harm the peer review process.