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GSQA: An End-to-End Model for Generative Spoken Question Answering
Furthermore, the GSQA model has only been fine-tuned on the spoken extractive QA dataset.
General Framework for Self-Supervised Model Priming for Parameter-Efficient Fine-tuning
To tackle these issues, we propose a general framework to enhance the few-shot adaptation and cross-domain generalization ability of parameter-efficient methods.
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