6 papers
Language as a Material Interface for Creative LLM Interaction
Jon McCormack, Tace McNamara, Chen Wang +1
Although directive prompting is the predominant way to interact with Large Language Models (LLMs), many creative practices rely on language that is open-ended, associative, phonaes…
MIDI-LLaMA: An Instruction-Following Multimodal LLM for Symbolic Music Understanding
Meng Yang, Jon McCormack, Maria Teresa Llano +2
Recent advances in multimodal large language models (MLLM) for audio music have demonstrated strong capabilities in music understanding, yet symbolic music, a fundamental represent…
Supporting Creative Ownership through Deep Learning-Based Music Variation
Stephen James Krol, Maria Teresa Llano, Jon McCormack
This paper investigates the importance of personal ownership in musical AI design, examining how practising musicians can maintain creative control over the compositional process.…
Exploring the Feasibility of LLMs for Automated Music Emotion Annotation
Meng Yang, Jon McCormack, Maria Teresa Llano +1
Current approaches to music emotion annotation remain heavily reliant on manual labelling, a process that imposes significant resource and labour burdens, severely limiting the sca…
Do Conversational Interfaces Limit Creativity? Exploring Visual Graph Systems for Creative Writing
Abhinav Sood, Maria Teresa Llano, Jon McCormack
We present a graphical, node-based system through which users can visually chain generative AI models for creative tasks. Research in the area of chaining LLMs has found that while…
Design Considerations for Automatic Musical Soundscapes of Visual Art for People with Blindness or Low Vision
Stephen James Krol, Maria Teresa Llano, Matthew Butler +1
Music has been identified as a promising medium to enhance the accessibility and experience of visual art for people who are blind or have low vision (BLV). However, composing musi…