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English Information

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Authors
# Name
1 Giovanna Borges Bottino(giovanna.bottino@usp.br)
2 José de Jesús Pérez Alcázar(jperez@ups.br)

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Reference
# Reference
1 Alammar, J. and Grootendorst, M. (2024). Hands-On Large Language Models. O’Reilly Media
2 Berryman, J. and Ziegler, A. (2024). Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications. ”O’Reilly Media, Inc.”.
3 Institute, J. B. (2015). The Joanna Briggs Institute Reviewers’ Manual 2015: Methodology for JBI Scoping Reviews. Adelaide, Australia.
4 Kejriwal, M., Knoblock, C. A., and Szekely, P. (2021). Knowledge graphs: Fundamentals, techniques, and applications. MIT Press.
5 Li, Z., Xu, T., Wang, W., Wu, H., Xiong, F., Chen, E., Lyu, Y., Niu, S., Liu, H., and Tang, B. (2024). Crud-rag: A comprehensive chinese benchmark for retrieval-augmented generation of large language models. ACM Transactions on Information Systems, 43:1 – 32
6 Ma, Y., Chen, Z., and Church, K. (2021). Emerging trends: A gentle introduction to fine-tuning. Natural Language Engineering, 27:763 – 778
7 Muscolino, H., Machado, A., Vesset, D., and Rydning, J. (2023). Untapped value: What every executive needs to know about unstructured data. White paper, IDC, Framingham, MA. Sponsored by Box.
8 Negro, A., Kus, V., Futia, G., and Montagna, F. (2025). Knowledge Graphs and LLM in Action. Manning.
9 Nandigam, J., Patil, R., Boit, S., and Gudivada, V. (2023). A survey of text representation and embedding techniques in nlp. IEEE Access, 11:36120–36146
10 Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021). The prisma 2020 statement: an updated guideline for reporting systematic reviews. bmj, 372
11 Zhong, L., Wu, J., Li, Q., Peng, H., and Wu, X. (2023). A comprehensive survey on automatic knowledge graph construction. ACM Computing Surveys, 56(4):1–62.