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The Special Issue on Language Models for Portuguese of the JBCS received 40 submissions involving 148 authors from Brazil (133), Portugal (8) and Spain (7). Of these, 25 articles were accepted and are listed below. The 44 reviewers are presented here.

List of Accepted Papers (30/7/2025)

1. Almeida et al. BRoverbs -Measuring how much LLMs understand Portuguese proverbs

2. Assis et al. Exploring Brazil's LLM Fauna: Investigating the Generative Performance of Large Language Models in Portuguese

3. Avila et al. Cross-Lingual Keyword Extraction for Pesticide Terminology in Brazilian Portuguese and English

4. Barbosa et al. Exploring the Usage of LLMs for Automatic Essay Scoring in Brazilian Portuguese Essays

5. Camargo et al. Abstractive Summarization with LLMs for Texts in Brazilian Portuguese

6. Cruz Castañeda et al. Large Languages Models in Brazilian Portuguese: A Chronological Survey

7. Fonseca Schuck et al. Evaluating Large Language Models for Brazilian Portuguese Sentiment Analysis: A Comparative Study of Multilingual State-of-the-Art vs. Brazilian Portuguese Fine-Tuned LLMs

8. Funicheli et al. Enhancing Brazilian Legal Information Retrieval: An Automated Keyphrase Generation

9. Gamallo et al. Enhancing Large Language Models for Underrepresented Varieties: Pretraining Strategies in the Galician-Portuguese Diasystem

10. Gomes et al. Sequence Labeling in Product Descriptions on Invoices: Comparing LLM-based with traditional techniques

11. Gondim et al. A bilingual analysis of multi-head attention mechanism for image captioning based on morphosyntactic information

12. Marreira et al. Rating Prediction in Brazilian Portuguese: A Benchmark of Large Language Models

13. Moraes Silva et al. Fake News Detection in Portuguese Under Large Language Model-Generated Content

14. Moro et al. Rewriting Stories with LLMs: Gender Bias in Generated Portuguese-language Narratives

15. Navarro et al. RagPharma: A RAG-Based Chatbot for Medicine Leaflets with a Dual-Database Evaluation Framework

16. Oliveira do Espírito Santo et al. The Cocoruta Resource Hub: Open and Curated Corpora, Datasets and Language Models on Brazilian Ocean Law

17. Oliveira Lasheras et al. Open LLMs Meet Causality in Portuguese: A Corpus-Based Fine-Tuning Approach

18. Paiola et al. The Bode Family of Large Language Models: Investigating the Frontiers of LLMs in Brazilian Portuguese

19. Pereira et al. Evaluating LLMs on Argument Mining Tasks in Debate Data: Evaluating LLMs on Argument Mining Tasks in Debate Brazilian Potuguese Data

20. Pinna et al. Complex Interactions in Dialog Systems for Brazilian Portuguese: A Comparison of RAG Approaches

21. Ribeiro et al. Exploring Few-Shot Approaches to Automatic Text Complexity Assessment in European Portuguese

22. Sales Almeida et al. Building High-Quality Datasets for Portuguese LLMs: From Common Crawl Snapshots to Industrial-Grade Corpora

23. Silva Mucciaccia et al. Pt-HotpotQA: Evaluating Multi-Hop Question Answering on the Original and Translated Portuguese Datasets Using LLM

24. Vicentini et al. Comparing Explainable AI Techniques In Language Models: A Case Study For Fake News Detection in Portuguese

25. Vieira Santin et al. Domain Learning from Data for Large Language Model Translation

- Submission deadline: March 31, 2025 12:00 a.m. April 1st
- Review deadline (1st round): May 20, 2025  May 29, 2025  June 2, 2025

- Submission of revised version of accepted papers with minor revisions: June 29, 2025

- Submission of revised version of papers requiring major revisions: July 13, 2025

- Review deadline (2nd round): July 30, 2025

- Camera-ready submission deadline: as recommended by journal plataform

JBCS invites the submission of papers featuring substantial, original, and unpublished research in all aspects of creating, adapting, using, and evaluating Language Models for Portuguese.

The use of Language Models in the most diverse areas of computing has raised several issues that deserve the attention of researchers. In the specific case of the Portuguese language, we face major challenges. Whereas efforts are put forward for the construction of good models of Portuguese models, the most diverse applications are still created using multilingual models or even models built for other languages. It is extremely important that the Portuguese-speaking scientific community makes an effort to build adequate resources to ensure safe and quality systems.

This Special Issue aims to gather original papers discussing Portuguese language models. In addition to automatic evaluation measures, submissions should also discuss the linguistic issues regarding these models' capabilities, limitations, and biases. 

Topics covered by this Special Issue extend to all research works involving the creation, adaptation, use and evaluation of Language Models for Portuguese processing, including the topics of interest below.

We encourage an assessment of the energy cost and carbon footprint of the work. The “Machine Learning Emissions Calculator” (https://calculator.linkeddata.es/) is a tool made by the Montreal Institute for Learning Algorithms, Element AI and Polytechnique Montreal that can be used to estimate how much carbon is being generated during training tasks based on several main factors: the energy that is consumed by the system’s hardware; length of training time; the geographical location of the server being used by the provider of cloud computing services; the CO2 emissions per unit of electricity produced in that particular region; and any potential carbon offsets that have been purchased by the cloud provider.

Other means  to provide such an assessment are also welcome.

Topics of interest:

Comparative and critical analyses of language models

Social, ethical, financial and ecological issues related to language models

Discussion on alternative solutions to language models

Domain specific language models

Adequacy of not-so-large language models for specific tasks

Multilingual x Portuguese specific models

Semantic issues in language models

Cultural issues in language models

Resources for training Language Models

Evaluation of Language Models

The papers must be written in English and should not exceed 20 pages, excluding references and appendices. 

Authors should follow Author Guidelines of the JBCS described here using this JBCS LaTeX template.

Authors must provide a "Cover Letter" together with their submission to provide additional information for the editors, such as:

• The name of the special issue that you are submitting for 

• An explanation of why your manuscript should be published in this Special Issue

• An explanation of any issues relating to journal policies

• A declaration of any potential competing interests

• The title and venue of previously published papers that this paper extends (if this is the case)

• Suggestions of potential reviewers for your paper

The submission for this Special Issue can be made through the JBCS website.

Guest Editors:

Renata Vieira - UEVORA

Aline Paes - IC-UFF

Graça Nunes - ICMC-USP

Helena Caseli - DC-UFSCar

This is an initiative of Brasileiras em PLN group in partnership with CE-PLN, the special group in NLP of the Brazilian Computing Society.

Contact email: jbcs-si-lmpt@googlegroups.com