Can language representation models think in bets?
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DOI: 10.1098/rsos.221585
Abstract: In recent years, transformer-based language representation models (LRMs) have achieved state-of-the-art results on difficult natural language understanding problems, such as question answering and text summarization. As these models are integrated into real-world applications, evaluating their… read more here.
Keywords: representation models; think bets; language; decision making ... See more keywords