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The University of Manchester, ELLIS Manchester
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LLM-generated rubrics can nearly match human evaluators in assessing paper reproduction, but they often miss the mark with excessive granularity and bias.
LLMs exhibit systematic goal-conditioned distortions, revealing a hidden layer of susceptibility to misleading communication that existing benchmarks fail to capture.
