Evidence record 16275 · automatically gathered

How Closely Do LLM Reviews Align with Human Peer Review?

Large language models (LLMs) are increasingly used to generate scientific reviews, yet existing evaluations rarely examine whether different providers align with both conference decisions and human reviewing priorities within the same controlled setting. We compare reviews from OpenAI GPT-5.4, Google Gemini 3.1 Pro Preview, and Anthropic Claude Opus 4.6 with human reviews and final decisions for 300 topic-matched ICLR 2026 submissions, equally divided among oral, poster, and rejected papers. Eac

Record details

Published: 4 August 2026
Source: arXiv
Category: Research
Topics: unclassified
Retrieved: 5 August 2026

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ethics.ai (4 August 2026), “How Closely Do LLM Reviews Align with Human Peer Review?,” evidence record 16275, https://ethics.ai/record/16275 (originally published by arXiv).

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