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Human Evaluations No Longer the Gold Standard for NLG, Says Washington U & Allen AI Study

For years, natural language generation (NLG) researchers have been recruiting humans to evaluate their models’ text outputs. This practice is based on a reasonable assumption: As NLG aims at producing human-quality texts, the judgement of human evaluators should be the gold standard regarding model performance. But in a new study…

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