Analysis of the capability of LLMs to interpret metaphorical instructions in musical performance and their outputs to human pianists indicates that while current LLMs lack the organic nuance required for autonomous humanlike piano performance, they hold strong potential as interactive, metaphor-driven toolboxes for mus...
J. C. Hosea, Tessa Verhoef, R. Schaefer
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This study conducted a study with a professional percussionist, co-developing a gesture mapping toolkit and recording a ten-track album, which supported the development of a continuous gesture recognition method for percussive mapping and surfaced insights into the design process.
Jordie Shier, Teresa Pelinski, C. Saitis et al.
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Iran Sanadzadeh
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Shinnosuke Hirose, R. Kobayashi, S. Fujii et al.
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Gwangyu Lee
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Open access
Oct 2026
Prompt engineering strategies emphasise clarity, specificity, and well-structured input, on the assumption that large language models (LLMs) require clean input to interpret user intent. But LLMs are pattern interpolators: they “absorb” noise through statistical reconstruction rather than strict symbol matching. Text-c...
Enrique Encinas, Andrew Morrison, Alexander Refsum Jensenius et al.
· Adjunct Proceedings of the 1... · 0 citations
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