REVIEW 1 cited by
Can AI Write Classical Chinese Poetry like Humans? An Empirical Study Inspired by Turing Test
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
Some argue that the essence of humanity, such as creativity and sentiment, can never be mimicked by machines. This paper casts doubt on this belief by studying a vital question: Can AI compose poetry as well as humans? To answer the question, we propose ProFTAP, a novel evaluation framework inspired by Turing test to assess AI's poetry writing capability. We apply it on current large language models (LLMs) and find that recent LLMs do indeed possess the ability to write classical Chinese poems nearly indistinguishable from those of humans. We also reveal that various open-source LLMs can outperform GPT-4 on this task.
Forward citations
Cited by 1 Pith paper
-
BIPro: Zero-shot Chinese Poem Generation via Block Inverse Prompting Constrained Generation Framework
A block-inverse-prompting loop with revise and rewrite lets GLM-10B-Chinese produce traditional-form poems that human raters scored above GPT-4 and domain-specific systems.
Discussion (0). Continue with ORCID to comment.