How Well Do LLMs Perform in Peer Review? Evidence from Finance and Accounting
Referees increasingly use large language models (LLMs), while finance and accounting journals disagree about whether to allow it. We ask which part of a referee's job the models can do. GPT-4o, whose training data end before the 2024 conference season, referees the papers presented at the 2024 AFA and NBER finance meetings, and we compare its verdicts with publication in the top-three finance journals over the next two years. Papers the model scores one standard deviation higher are 44\% more likely to be published, net of author reputation. The result is not driven by look-ahead bias, as the model does not recall the outcomes. The information comes from its judgements of correctness and ...
| Authors | Hai Lu, Yichen Luo, Luping Yu |
|---|---|
| Primary category | q-fin.GN |
| Published | 13 October 2026 |
| Last updated at source | 13 October 2026 |
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