Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing Y ongrui Chen

Neural Information Processing Systems 

Conventional methods tend to suffer from overfitting with limited supervision, as well as catastrophic forgetting due to parameter updates.

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