Classical Chinese Poetry

Research on classical Chinese poetry is increasingly leveraging large language models (LLMs) to analyze, translate, and even generate poems, focusing on improving the accuracy, fluency, and stylistic elegance of AI-produced works. Current efforts employ transformer-based architectures and retrieval-augmentation methods to address challenges in understanding nuanced poetic language and generating images that accurately reflect the poem's meaning. This interdisciplinary research contributes to both computational linguistics and the digital humanities, offering new tools for literary analysis and potentially enhancing the accessibility and appreciation of classical Chinese poetry.