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Christos Perivolaropoulos

Google DeepMind

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A person who works at Google DeepMind and studied at The University of Edinburgh

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Perplexity Cannot Always Tell Right From Wrong
arXivresearchcautiousFeb 4, 2026

Perplexity is an unsuitable metric for model selection because models with low perplexity can make incorrect predictions, and perplexity does not always favor more accurate models over less accurate ones.

“Co-author on perplexity research demonstrating limitations of perplexity as a metric for model selection in Transformers.”

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