mlsanityData to 7 Oct 2026

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

arXiv 2401.04952 ↗First posted 10 Jan 2024cs.CLcited by 7

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Abstract (arXiv)

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.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 10 of its 24 references that are in the map. First posted on arXiv 10 Jan 2024.

Builds on

10 of 24 references.

References · 10

  1. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  2. 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,355
  3. 2023Qwen Technical Reportcited by 3,273
  4. 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,068
  5. 2021GLM: General Language Model Pretraining with Autoregressive Blank Infillingcited by 1,026
  6. 2022PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generationcited by 22
  7. 2020Introducing Aspects of Creativity in Automatic Poetry Generationcited by 14
  8. 2019An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generationcited by 9
  9. 2018Chinese Poetry Generation with a Working Memory Modelcited by 7
  10. 2016Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Testcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 0; 2026: 4.

7 papers.