Predicting Music Valence and Arousal via Textual and Multimodal In-Context Learning in Large Language Models

While arousal can be reliably predicted from musical audio, emotional valence remains difficult to model due to its subjective and context-dependent nature. In this work, we investigate the potential of in-context learning (ICL) with large language models to advance continuous valence and arousal pr