A new instruction dataset for Arabic poetry tasks enables fine-tuned LLMs to generate poems matching user-specified styles, rhymes, and criteria, as shown by automated metrics and native-speaker evaluations.
In Proceedings of the 2023 Conference on Empirical Methods in Nat- ural Language Processing: Tutorial Abstracts , EMNLP ’23, pages 34–40, Singapore
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Instruction-Guided Poetry Generation in Arabic and Its Dialects
A new instruction dataset for Arabic poetry tasks enables fine-tuned LLMs to generate poems matching user-specified styles, rhymes, and criteria, as shown by automated metrics and native-speaker evaluations.