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Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling

Research article (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024) · cited 13× · AI/ML
academia openalex:W4402672024
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Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling

Summary

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling is a scholarly article[1].

Key Facts

  • Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-large-language-models-for-learning-complex-legal-concepts-through-storytelling
MLA “Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-large-language-models-for-learning-complex-legal-concepts-through-storytelling.
BibTeX @misc{4ortxyz_leveraging-large-language-models-for-learning-complex-legal-concepts-through-storytelling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-large-language-models-for-learning-complex-legal-concepts-through-storytelling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling — https://4ort.xyz/entity/leveraging-large-language-models-for-learning-complex-legal-concepts-through-storytelling (retrieved 2026-05-24)

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