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RubricReviewer: From Direct Critique to Objective and Comprehensive Rubric-Driven Peer Review

Peer review at major venues is under unprecedented submission pressure, motivating the use of large language models (LLMs) as review assistants. Existing LLM-based reviewers, however, face two structural limitations. First, they map manuscripts directly to reviews, leaving the underlying rubric implicit and entangling its derivation with the judgement. Second, the prevailing paradigms each capture only half of a good review: training-free agents gather broad evidence but produce undirected critiques, while training-based reviewers inherit human discriminative judgement together with its noise and uneven coverage. We introduce RubricReviewer, a fully rubric-driven framework that addresses ...

AuthorsShuyu Guo, Wenxiang Hu, Yuyue Zhao et al.
Primary categorycs.CL
Published4 June 2026
Last updated at source4 June 2026
cs.CLcs.AI
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