A Large Language Model Agent Based Legal Assistant for Governance Applications

Author:

Mamalis Marios EvangelosORCID,Kalampokis EvangelosORCID,Fitsilis FotiosORCID,Theodorakopoulos Georgios,Tarabanis KonstantinosORCID

Publisher

Springer Nature Switzerland

Reference43 articles.

1. Achiam, J., et al.: GPT-4 technical report. arXiv preprint arXiv:2303.08774 (2023)

2. Brown, T., et al.: Language models are few-shot learners. In: Advances in Neural Information Processing Systems, vol. 33, pp. 1877–1901 (2020)

3. Colombo, P., et al.: SaulLM-7B: a pioneering large language model for law. arXiv preprint arXiv:2403.03883 (2024)

4. Dahl, M., Magesh, V., Suzgun, M., Ho, D.E.: Large legal fictions: profiling legal hallucinations in large language models. arXiv preprint arXiv:2401.01301 (2024)

5. Office of the Federal Register, National Archives and Records Administration: 88 FR 75191 - safe, secure, and trustworthy development and use of artificial intelligence. [government]. Federal Register (2023). https://www.govinfo.gov/app/details/FR-2023-11-01/2023-24283

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