CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering

Ashley, K.D.: Reasoning with cases and hypotheticals in hypo. International journal of man-machine studies 34(6), 753–796 (1991)

1991

Earlier work this paper cites.

Bromley, J., Guyon, I., LeCun, Y., Säckinger, E., Shah, R.: Signature verification using a” siamese” time delay neural network. Advances in neural information processing systems 6 (1993)

1993

Earlier work this paper cites.

Rissland, E.L., Daniels, J.J.: A hybrid cbr-ir approach to legal information retrieval. In: Proceedings of the 5th international conference on Artificial intelligence and law. pp. 52–61 (1995)

1995

Earlier work this paper cites.

Aleven, V., Ashley, K.D.: Teaching case-based argumentation through a model and examples: Empirical evaluation of an intelligent learning environment. In: Artificial intelligence in education. vol. 39, pp. 87–94. Citeseer (1997)

1997

Earlier work this paper cites.

Brüninghaus, S., Ashley, K.D.: The role of information extraction for textual cbr. In: International Conference on Case-Based Reasoning. pp. 74–89. Springer (2001)

2001

Earlier work this paper cites.

Wiratunga, N., Koychev, I., Massie, S.: Feature selection and generalisation for retrieval of textual cases. In: European Conference on Case-Based Reasoning. pp. 806–820. Springer (2004)

2004

Earlier work this paper cites.

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is all you need. Advances in neural information processing systems 30 (2017)

2017

Earlier work this paper cites.

Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)

Original

2018

Earlier work this paper cites.

Chalkidis, I., Fergadiotis, M., Malakasiotis, P., Aletras, N., Androutsopoulos, I.: Legal-bert: The muppets straight out of law school. arXiv preprint arXiv:2010.02559 (2020)

Original

2020

Cited alongside, same era.

Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.t., Rocktäschel, T., et al.: Retrieval-augmented generation for knowledge-intensive nlp tasks. Advances in Neural Information Processing Systems 33, 9459–9474 (2020)

2020

Cited alongside, same era.

Tuggener, D., von Däniken, P., Peetz, T., Cieliebak, M.: LEDGAR: A large-scale multi-label corpus for text classification of legal provisions in contracts. In: Calzolari, N., Béchet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J., Piperidis, S. (eds.) Proceedings of the Twelfth Language Resources and Evaluation Conference. pp. 1235–1241. European Language Resources Association, Marseille, France (May 2020), https://aclanthology.org/2020.lrec-1.155

2020

Cited alongside, same era.

Guha, N., Nyarko, J., Ho, D.E., Ré, C., Chilton, A., Narayana, A., Chohlas-Wood, A., Peters, A., Waldon, B., Rockmore, D.N., Zambrano, D., Talisman, D., Hoque, E., Surani, F., Fagan, F., Sarfaty, G., Dickinson, G.M., Porat, H., Hegland, J., Wu, J., Nudell, J., Niklaus, J., Nay, J., Choi, J.H., Tobia, K., Hagan, M., Ma, M., Livermore, M., Rasumov-Rahe, N., Holzenberger, N., Kolt, N., Henderson, P., Rehaag, S., Goel, S., Gao, S., Williams, S., Gandhi, S., Zur, T., Iyer, V., Li, Z.: Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models (2023)

2023

Later among the works it cites.

Hacker, P., Engel, A., Mauer, M.: Regulating chatgpt and other large generative ai models. In: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency. pp. 1112–1123 (2023)

2023

Later among the works it cites.

Jiang, A.Q., Sablayrolles, A., Mensch, A., Bamford, C., Chaplot, D.S., Casas, D.d.l., Bressand, F., Lengyel, G., Lample, G., Saulnier, L., et al.: Mistral 7b. arXiv preprint arXiv:2310.06825 (2023)

Original

2023

Later among the works it cites.