stanjsx/LLMPeerReview

LLM Reviewers Err Together Code, data and raw model outputs for a study of whether a committee of LLM reviewers provides the independent perspectives that a committee of human reviewers does. Nine models from five families review 700 ICLR 2025, NeurIPS 2023 and ICML 2025 submissions under four scoring settings, and nine models act as area chairs on 60 of the papers. Findings this repository reproduces: pooling 24 model reviews of a paper still leaves 24.7% of human-raised… See the full description on the dataset page: https://huggingface.co/datasets/stanjsx/LLMPeerReview.

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