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Found 4 papers, 2 papers with code
Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models
To foster future research, we have released the complementary materials such as paper collection publicly at https://github. com/MiuLab/EditLLM-Survey
PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques
Our study conducts extensive experiments to compare different PEFT methods and their layer-wise placement adapting Differentiable Architecture Search (DARTS).
On the Utility of Self-supervised Models for Prosody-related Tasks
We find that 13 of the 15 SSL models outperformed the baseline on all the prosody-related tasks.
The Efficacy of Self-Supervised Speech Models for Audio Representations
Extensive experiments on speech and non-speech audio datasets are conducted to investigate the representation abilities of our ensemble method and its single constituent model.
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