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Can AI Write Classical Chinese Poetry like Humans? An Empirical Study Inspired by Turing Test

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arxiv 2401.04952 v1 pith:ZAI6U3GG submitted 2024-01-10 cs.CL

classification cs.CL
keywords humansllmspoetrychineseclassicalinspiredquestiontest
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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  1. BIPro: Zero-shot Chinese Poem Generation via Block Inverse Prompting Constrained Generation Framework

    cs.CL 2024-11 conditional novelty 6.0 of 10

    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.

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