In BLOOM: Creativity and Affinity in Artificial Lyrics and Art
- URL: http://arxiv.org/abs/2301.05402v1
- Date: Fri, 13 Jan 2023 06:22:22 GMT
- Title: In BLOOM: Creativity and Affinity in Artificial Lyrics and Art
- Authors: Evan Crothers, Herna Viktor, Nathalie Japkowicz
- Abstract summary: We apply a large multilingual language model (BLOOM-176B) in open-ended generation of Chinese song lyrics.
We evaluate the resulting lyrics for coherence and creativity using human reviewers.
We introduce the MojimLyrics dataset, a Chinese-language dataset of popular song lyrics for future research.
- Score: 6.978441815839558
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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.
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