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Self-Training using Rules of Grammar for Few-Shot NLU
We propose to use rules of grammar in self-training as a more reliable pseudo-labeling mechanism, especially when there are few labeled data.
SKIP: Skill-Localized Prompt Tuning for Inference Speed Boost-Up
Prompt-tuning methods have shown comparable performance as parameter-efficient fine-tuning (PEFT) methods in various natural language understanding tasks.
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