Investigating Expert-in-the-Loop LLM Discourse Patterns for Ancient Intertextual Analysis

• URL: http://arxiv.org/abs/2409.01882v2
• Date: Sun, 29 Sep 2024 16:15:37 GMT
• Title: Investigating Expert-in-the-Loop LLM Discourse Patterns for Ancient Intertextual Analysis
• Authors: Ray Umphrey, Jesse Roberts, Lindsey Roberts,
• Abstract summary: The study demonstrates that large language models can detect direct quotations, allusions, and echoes between texts. The model struggles with long query passages and the inclusion of false intertextual dependences. The expert-in-the-loop methodology presented offers a scalable approach for intertextual research.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: This study explores the potential of large language models (LLMs) for identifying and examining intertextual relationships within biblical, Koine Greek texts. By evaluating the performance of LLMs on various intertextuality scenarios the study demonstrates that these models can detect direct quotations, allusions, and echoes between texts. The LLM's ability to generate novel intertextual observations and connections highlights its potential to uncover new insights. However, the model also struggles with long query passages and the inclusion of false intertextual dependences, emphasizing the importance of expert evaluation. The expert-in-the-loop methodology presented offers a scalable approach for intertextual research into the complex web of intertextuality within and beyond the biblical corpus.

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