Author

David A. Smith

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#natural language process... Preprint Sep 2026

Apollo Restore: A Foundation LLM for Historical Greek Optimized for Fill-in-the-Middle Restoration of Ancient Greek Texts

We present Apollo Restore, a 24-billion-parameter large language model for restoring lacunae---physical gaps---in fragmentary Ancient Greek texts. Fine-tuned from Mistral Small with a fill-in-the-middle objective, Apollo Restore reconstructs missing spans without requiring oracle knowledge of their length. To our knowl...

Hope McGovern, A. Dolganov, Samuel Belkadi et al. · 0 citations

#natural language process... Preprint Dec 2024

Learning from Many Voices: Literary MT Using Multi-Reference Human and Synthetic Data

This work finds fine-tuning on human expert translations outperforms fine-tuning on synthetically augmented data in automatic metrics and human evaluations, demonstrating the indispensable value of human expert translations for fine-tuning literary machine translation models.

Sijing Wu, J. Wieting, David A. Smith · 7 citations