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This research aims to create a framework to evaluate LLM-generated TEI encoding effectively and comprehensively.

A Multi-Dimensional Evaluation Framework for Assessing LLM Performance in TEI Encoding

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This research aims to create a framework to evaluate LLM-generated TEI encoding effectively and comprehensively.
Developed a multi-dimensional evaluation framework for LLM-generated TEI encodings.
Assessed encodings for aspects like syntactic validity, source fidelity, and schema compliance.
Utilized state-of-the-art LLMs for empirical validation using a multilingual letter corpus.
Identified specific areas for reliable automated assessment of TEI encodings.
Highlighted the need for human review in certain dimensions of evaluation.
Demonstrated cross-model comparison capabilities for performance benchmarking.

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This framework assesses LLM-generated TEI encoding quality in digital humanities, suggesting reliable evaluation methods.

Sabrina Strutz (2026) studied this question.

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