Razvan Pascanu is a research scientist at Google DeepMind affiliated with Université de Montréal's Department of Computer Science and Operations Research.
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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 of arXiv paper demonstrating that perplexity will not always select for more accurate models despite being widely used.”