Weaker LLM Judges Cannot Evaluate Stronger Models

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Many benchmarks use LLMs as a judge of correctness, typically a smaller, cheaper model. This paper shows weaker judges are not able to evaluate smarter models. A benchmark is really a triplet of dataset, model, judge & judges are increasingly the bottleneck being saturated.

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artificial intelligence machine learning model training data science technology programming benchmarks

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