A new benchmark uses separate predictor and scorer LLMs to test whether forecast strings improve likelihood of hidden mathematical equation continuations, with controls that detect priming shortcuts.
G-Eval: NLG evaluation using GPT-4 with better human alignment
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Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities
A new benchmark uses separate predictor and scorer LLMs to test whether forecast strings improve likelihood of hidden mathematical equation continuations, with controls that detect priming shortcuts.