mlsanityData to 7 Oct 2026

In BLOOM: Creativity and Affinity in Artificial Lyrics and Art

arXiv 2301.05402 ↗First posted 13 Jan 2023cs.CL cs.LGcited by 1

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Abstract (arXiv)

We apply a large multilingual language model (BLOOM-176B) in open-ended generation of Chinese song lyrics, and evaluate the resulting lyrics for coherence and creativity using human reviewers. We find that current computational metrics for evaluating large language model outputs (MAUVE) have limitations in evaluation of creative writing. We note that the human concept of creativity requires lyrics to be both comprehensible and distinctive -- and that humans assess certain types of machine-generated lyrics to score more highly than real lyrics by popular artists. Inspired by the inherently multimodal nature of album releases, we leverage a Chinese-language stable diffusion model to produce high-quality lyric-guided album art, demonstrating a creative approach for an artist seeking inspiration for an album or single. Finally, we introduce the MojimLyrics dataset, a Chinese-language dataset of popular song lyrics for future research.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 15 of its 22 references that are in the map. First posted on arXiv 13 Jan 2023.

Builds on

15 of 22 references.

References · 15

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2014Going Deeper with Convolutionscited by 4,231
  3. 2019The Curious Case of Neural Text Degenerationcited by 2,881
  4. 2020Extracting Training Data from Large Language Modelscited by 2,144
  5. 2022BLOOM: A 176B-Parameter Open-Access Multilingual Language Modelcited by 1,968
  6. 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,068
  7. 2019Neural Text Generation with Unlikelihood Trainingcited by 489
  8. 2021MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontierscited by 466
  9. 2022A Contrastive Framework for Neural Text Generationcited by 224
  10. 2017GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibriumcited by 208
  11. 2021The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generationcited by 96
  12. 2022Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligencecited by 70
3 more
  1. 2022Visualize Before You Write: Imagination-Guided Open-Ended Text Generationcited by 30
  2. 2020Melody-Conditioned Lyrics Generation with SeqGANscited by 14
  3. 2019GPT-based Generation for Classical Chinese Poetrycited by 12

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Cited by year

Citing papers per year: 2023: 1.

1 paper.

  1. 2023Probing the Creativity of Large Language Models: Can models produce divergent semantic association?cited by 31

Similar, not cited

Close in wording, no citation either way

  1. 2024Agent-Driven Large Language Models for Mandarin Lyric Generation
  2. 2024Computational Modeling of Artistic Inspiration: A Framework for Predicting Aesthetic Preferences in Lyrical Lines Using Linguistic and Stylistic Features
  3. 2025COIG-Writer: A High-Quality Dataset for Chinese Creative Writing with Thought Processes
  4. 2024Amuse: Human-AI Collaborative Songwriting with Multimodal Inspirations
  5. 2025PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs
  6. 2025SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement
  7. 2024Let the Poem Hit the Rhythm: Using a Byte-Based Transformer for Beat-Aligned Poetry Generation
  8. 2023PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation