CAPTAIN at COLIEE 2024: Large Language Model for Legal Text Retrieval and Entailment

Author:

Nguyen Phuong,Nguyen Cong,Nguyen Hiep,Nguyen Minh,Trieu An,Nguyen Dat,Nguyen Le-Minh

Publisher

Springer Nature Singapore

Reference27 articles.

1. Bui, M., Nguyen, C., Do, D., Le, N., Nguyen, D., Nguyen, T.: Using deep learning approaches for tackling legal’s challenges (COLIEE 2022). In: Sixteenth International Workshop on Juris-informatics (JURISIN) (2022)

2. Bui, Q.M., et al.: JNLP COLIEE-2023: data argumentation and large language model for legal case retrieval and entailment. In: Workshop of the Tenth Competition on Legal Information Extraction/Entailment (COLIEE’2023) in the 19th International Conference on Artificial Intelligence and Law (ICAIL) (2023)

3. Chung, H.W., et al.: Scaling instruction-finetuned language models. arXiv preprint arXiv:2210.11416 (2022)

4. Debbarma, R., Prawar, P., Chakraborty, A., Bedathur, S.: Iitdli: legal case retrieval based on lexical models. In: Workshop of the Tenth Competition on Legal Information Extraction/Entailment (COLIEE’2023) in the 19th International Conference on Artificial Intelligence and Law (ICAIL) (2023)

5. Fink, T., Recski, G., Kusa, W., Hanbury, A.: Statute-enhanced lexical retrieval of court cases for coliee 2022. arXiv preprint arXiv:2304.08188 (2023)

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