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English Information

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Authors
# Name
1 Renato Oliveira(renatobdo@gmail.com)
2 Solange Alves-Souza(ssouza@usp.br)

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Reference
# Reference
1 Arslan, M., Ghanem, H., Munawar, S., and Cruz, C. (2024). A survey on rag with llms. Procedia Computer Science, 246:3781–3790. https://doi.org/10.1016/j.procs.2024.09.178.
2 Biswal, A., Patel, L., Jha, S., Kamsetty, A., Liu, S., Gonzalez, J. E., Guestrin, C., and Zaharia, M. (2024). Text2sql is not enough: Unifying ai and databases with tag. https://vldb.org/cidrdb/papers/2025/p11-biswal.pdf.
3 de Oliveira, R. B. D. and Alves-Souza, S. N. (2026). Aedestag: vigilância de arboviroses com documentos semanticamente estruturados e retrieval-augmented generation. In I Workshop de Computação Aplicada às Doenças Tropicais Negligenciadas (CADTN) Evento integrante do 26º Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2026).
4 de Souza, E. A., da Silva, P. F., Gomes, D., Batista, V., Batista, E., and Pacheco, M. (2024). Tablerag: A novel approach for augmenting llms with information from retrieved tables. In Anais do XV Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana (STIL 2024), pages 182–191. Sociedade Brasileira de Computação. https://doi.org/10.5753/stil.2024.245371.
5 Fan, W., Ding, Y., Ning, L., Wang, S., Li, H., Yin, D., Chua, T.-S., and Li, Q. (2024). A survey on rag meeting llms: Towards retrieval-augmented large language models. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 6491–6501. ACM. https://doi.org/10.1145/3637528.3671470.
6 Fang, X., Xu, W., Tan, F. A., Zhang, J., Hu, Z., Qi, Y., Nickleach, S., Socolinsky, D., Sengamedu, S., and Faloutsos, C. (2024). Large language models(llms) on tabular data: Prediction, generation, and understanding – a survey. https://doi.org/10.48550/arXiv.2402.17944.
7 José, M. M., Cação, F. N., Ribeiro, M. F., Cheang, R. M., Pirozelli, P., and Cozman, F. G. (2025). Question answering with texts and tables through deep reinforcement learning. In Paes, A. and Verri, F. A. N., editors, Intelligent Systems, pages 339–353, Cham. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-79032-4 24.
8 Liu, T., Wang, F., and Chen, M. (2023). Rethinking tabular data understanding with large language models. https://doi.org/10.48550/arXiv.2312.16702.
9 Long, L., Gu, X., Sun, X., Ye, W., Wang, H., Wu, S., Chen, G., and Zhao, J. (2025). Bridging the semantic gap between text and table: A case study on NL2SQL. In The Thirteenth International Conference on Learning Representations. https://openreview.net/forum?id=qmsX2R19p9.
10 O'Shaughnessy, D. (2026). An overview of recent advances in natural language processing for information systems. Applied Sciences, 16:1122. https://doi.org/10.3390/app16021122.
11 Yu, X., Jian, P., and Chen, C. (2025). Tablerag: A retrieval augmented generation framework for heterogeneous document reasoning. https://doi.org/10.48550/arXiv.2506.10380.