Do large language models scrutinise what they review? A multimodal audit of scoring calibration, error detection, and author-identity effects

A study evaluating multimodal LLMs as peer reviewers for ICLR 2026 found they gave inflated scores, failed to catch most inserted errors, and struggled with…