GPT-2 models trained on character-reversed neuroscience text perform as well on a neuroscience abstract-selection benchmark as models trained on normal text, despite higher perplexity.
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Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text
GPT-2 models trained on character-reversed neuroscience text perform as well on a neuroscience abstract-selection benchmark as models trained on normal text, despite higher perplexity.