1 code implementation • RANLP 2021 • Abhishek Kumar Mishra, Mohna Chakraborty
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.
no code implementations • 11 Nov 2023 • Mohna Chakraborty, Adithya Kulkarni, Qi Li
(2) What are different prompts performance using ChatGPT for fact verification tasks?
1 code implementation • 25 May 2023 • Mohna Chakraborty, Adithya Kulkarni, Qi Li
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.