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Found 3 papers, 2 papers with code
Does local pruning offer task-specific models to learn effectively ?
Later, we utilize the hypothesis to demonstrate the efficacy of the pruned state-of-the-art model compared to the over-parameterized state-of-the-art model under two settings, the first considering the baselines for the same task used for generating the hypothesis, i. e., aspect extraction and the second considering a different task, i. e., sentiment analysis.
An Empirical Study of Using ChatGPT for Fact Verification Task
(2) What are different prompts performance using ChatGPT for fact verification tasks?
Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts
We empirically demonstrate that the top-ranked prompts are high-quality and significantly outperform the base prompt and the prompts generated using few-shot learning for the binary sentence-level sentiment classification task.
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