mlsanityData to 14 Oct 2026

Can Language Models Represent the Past without Anachronism?

arXiv 2505.00030 ↗First posted 28 Apr 2025cs.CLcited by 14

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Abstract (arXiv)

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.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 6 of its 21 references that are in the map. First posted on arXiv 28 Apr 2025.

Builds on

6 of 21 references.

References · 6

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  2. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,242
  3. 2022Out of One, Many: Using Language Models to Simulate Human Samplescited by 752
  4. 2024Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearningcited by 504
  5. 2023S3: Social-network Simulation System with Large Language Model-Empowered Agentscited by 233
  6. 2024Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinesecited by 3

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Citing papers per year: 2025: 1; 2026: 13.

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