Fine-tuning

How Far Can Pretrained LLMs Go in Symbolic Music? Controlled Comparisons of Supervised and Preference-based Adaptation
A controlled study of how instruction-tuned large language models adapt to symbolic music understanding and generation under supervised and preference-based training strategies.
Deepak Kumar, Emmanouil Karystinaios, Gerhard Widmer, Markus Schedl
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