Chinese Classical Poetry Generation
Research in Chinese classical poetry generation aims to create artificial intelligence systems capable of producing high-quality poems that adhere to traditional formal constraints while exhibiting meaningful and creative content. Current efforts leverage transformer-based architectures, often pre-trained on large language datasets or fine-tuned on specialized corpora of classical poetry, with a focus on improving both the formal accuracy (e.g., meter, rhyme) and semantic coherence of the generated text. These advancements contribute to a deeper understanding of natural language generation and offer potential applications in creative writing assistance, language education, and the digital humanities.
Papers
November 20, 2024
January 7, 2024
December 4, 2023
November 4, 2022