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Can Language Models Represent the Past without Anachronism?
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Before researchers can use language models to simulate the past, they need to understand the risk of anachronism. We find that prompting a contemporary model with examples of period prose does not produce output consistent with period style. Fine-tuning produces results that are stylistically convincing enough to fool an automated judge, but human evaluators can still distinguish fine-tuned model outputs from authentic historical text. We tentatively conclude that pretraining on period prose may be required in order to reliably simulate historical perspectives for social research.
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Cited by 1 Pith paper
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TimeCapsule: Generative Hallucination as a Method for Historical Sensemaking
Training a language model exclusively on pre-1875 texts is proposed as a way to make its anachronistic errors readable as Victorian sensemaking.
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