Search Results for author:
Found 4 papers, 2 papers with code
Do Music Generation Models Encode Music Theory?
Our findings suggest that music theory concepts are discernible within foundation models and that the degree to which they are detectable varies by model size and layer.
Prevailing Research Areas for Music AI in the Era of Foundation Models
In tandem with the recent advancements in foundation model research, there has been a surge of generative music AI applications within the past few years.
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs
To test our model, we design and run a human experiment on a linguistic goal inference task.
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks
We first contribute a new challenge benchmark for comparing humans and distributional large language models (LLMs).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
