2 papers
cs.SD2024
Learning Disentangled Audio Representations through Controlled Synthesis
Yusuf Brima, Ulf Krumnack, Simone Pika +1
This paper tackles the scarcity of benchmarking data in disentangled auditory representation learning. We introduce SynTone, a synthetic dataset with explicit ground truth explanat…
cs.CL2024
Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models
Mohamad Ballout, Ulf Krumnack, Gunther Heidemann +1
Our research demonstrates the significant benefits of using fine-tuning with explanations to enhance the performance of language models. Unlike prompting, which maintains the model…