In recent years, foundation models (FMs) such as large language models (LLMs) and latent
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …

The current landscape of research leveraging large language models (LLMs) is
experiencing a surge. Many works harness the powerful reasoning capabilities of these …

Multi-Modal Large Language Models (MLLMs), despite being successful, exhibit limited
generality and often fall short when compared to specialized models. Recently, LLM-based …

Recent advances in text-to-music generation models have opened new avenues in musical
creativity. However, music generation usually involves iterative refinements, and how to edit …

Large language models (LLMs) have achieved superior performance in powering text-
based AI agents, endowing them with decision-making and reasoning abilities akin to …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

Music composition represents the creative side of humanity, and itself is a complex task that
requires abilities to understand and generate information with long dependency and …

Audio editing involves the arbitrary manipulation of audio content through precise control.
Although text-guided diffusion models have made significant advancements in text-to-audio …

The burgeoning field of text-to-music generation models has shown great promise in their
ability to generate high-quality music aligned with users' textual descriptions. These models …

In this paper we put forward a new approach to music captioning, the task of automatically
generating natural language descriptions for songs. These descriptions are useful both for …