SBBD

Paper Registration

1

Select Book

2

Select Paper

3

Fill in paper information

4

Congratulations

Fill in your paper information

English Information

(*) To change the order drag the item to the new position.

Authors
# Name
1 Leonardo Taschetto(leonardotaschetto@gmail.com)
2 Renato Fileto(r.fileto@ufsc.br)

(*) To change the order drag the item to the new position.

Reference
# Reference
1 Thales Sales Almeida, Hugo Abonizio, Rodrigo Nogueira, and Ramon Pires. Sabi´a-2: A new generation of portuguese large language models, 2024
2 Zhang et al. Siren’s song in the ai ocean: A survey on hallucination in large language models. ArXiv, abs/2309.01219, 2023.
3 Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Na- man Goyal, Heinrich K¨uttler, Mike Lewis, Wen-tau Yih, Tim Rockt¨aschel, et al. Retrieval-augmented generation for knowledge-intensive nlp tasks. Advances in Neural Information Processing Systems, 33:9459–9474, 2020.
4 Gautier Izacard and Edouard Grave. Leveraging passage retrieval with generative models for open domain question answering. In Paola Merlo, Jorg Tiedemann, and Reut Tsarfaty, editors, 16th Conf. of the European Chapter of the ACL, pages 874–880, Online, April 2021. Association for Computational Linguistics (ACL).
5 Richard Meyes, Melanie Lu, Constantin Waubert de Puiseau, and Tobias Meisen. Abla- tion studies in artificial neural networks. arXiv preprint arXiv:1901.08644, 2019.
6 Yusuke Miyao and Ai Kawazoe. University entrance examinations as a benchmark re- source for NLP-based problem solving. In Proceedings of the Sixth International Joint Conference on Natural Language Processing, pages 1357–1365, Nagoya, Japan, October 2013. Asian Federation of Natural Language Processing.
7 Desnes Nunes, Ricardo Primi, Ramon Pires, Roberto Lotufo, and Rodrigo Nogueira. Evaluating gpt-3.5 and gpt-4 models on brazilian university admission exams, 2023.
8 Ramon Pires, Thales Sales Almeida, Hugo Abonizio, and Rodrigo Nogueira. Evaluat- ing gpt-4’s vision capabilities on brazilian university admission exams. Semantic
9 Ramon Pires, Hugo Abonizio, Thales Sales Almeida, and Rodrigo Nogueira. Sabi´a: Por- tuguese large language models. In Brazilian Conference on Intelligent Systems, pages 226–240. Springer, 2023.
10 School of Electrical Engineering Sheikholeslami, Sina. KTH and Computer Science (EECS). Ablation programming for machine learning, 2019.
11 Igor Cataneo Silveira and Denis Deratani Mau´a. Advances in automatically solving the enem. In 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), pages 43–48. IEEE, 2018.
12 Igor Cataneo Silveira and Denis Deratani Mau´a. University entrance exam as a guiding test for artificial intelligence. In 2017 Brazilian Conference on Intelligent Systems (BRACIS), pages 426–431. IEEE, 2017.
13 Jason Wei et al. Chain-of-thought prompting elicits reasoning in large language models. arXiv preprint arXiv:2201.11903, 2022.