Papers by Craig Messner

1 papers
Pretraining Language Models for Diachronic Linguistic Change Discovery (2026.findings-eacl)

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Challenge: Large language models are increasingly used as knowledge discovery tools . historical linguistics and literary studies often construct arguments on the basis of distinctions between phenomena like time-period or genre.
Approach: They propose to use LLMs to train large language models over modest historical corpora without allowing contamination from anachronistic data.
Outcome: The proposed model better respects historical divisions and is more computationally efficient compared to the standard approach of fine-tuning an existing LLM.

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