Enhancing Legal Text Entailment with Prompt-Based ChatGPT: An Empirical Study

Author:

Nguyen Chau,Nguyen Le-Minh

Publisher

Springer Nature Switzerland

Reference23 articles.

1. ChatGPT prompt engineering for developers. https://learn.deeplearning.ai/chatgpt-prompt-eng

2. Chen, J., Chen, L., Huang, H., Zhou, T.: When do you need chain-of-thought prompting for ChatGPT? arXiv preprint arXiv:2304.03262 (2023)

3. Christiano, P.F., Leike, J., Brown, T., Martic, M., Legg, S., Amodei, D.: Deep reinforcement learning from human preferences. In: Advances in Neural Information Processing Systems, vol. 30 (2017)

4. Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20, 273–297 (1995)

5. Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. CoRR abs/1810.04805 (2018). http://arxiv.org/abs/1810.04805

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