João Augusto Leite

According to our database, João Augusto Leite authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Weakly supervised veracity classification with LLM-predicted credibility signals.

João Augusto Leite, Olesya Razuvayevskaya, Kalina Bontcheva, Carolina Scarton

EPJ Data Sci., December, 2025

2024

Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.

Olesya Razuvayevskaya, Ben Wu, João Augusto Leite, Freddy Heppell, Ivan Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song

Dataset, May, 2024

EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles (Dataset).

João Augusto Leite, Olesya Razuvayevskaya, Kalina Bontcheva, Carolina Scarton

Dataset, January, 2024

EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles (Software).

João Augusto Leite, Olesya Razuvayevskaya, Kalina Bontcheva, Carolina Scarton

Dataset, January, 2024

A Cross-Domain Study of the Use of Persuasion Techniques in Online Disinformation.

João Augusto Leite, Olesya Razuvayevskaya, Carolina Scarton, Kalina Bontcheva

CoRR, 2024

A Survey on Automatic Credibility Assessment of Textual Credibility Signals in the Era of Large Language Models.

Ivan Srba, Olesya Razuvayevskaya, João Augusto Leite, Róbert Móro, Ipek Baris Schlicht, Sara Tonelli, Francisco Moreno García, Santiago Barrio Lottmann, Denis Teyssou, Valentin Porcellini, Carolina Scarton, Kalina Bontcheva, Mária Bieliková

CoRR, 2024

EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles.

João Augusto Leite, Olesya Razuvayevskaya, Kalina Bontcheva, Carolina Scarton

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Detecting Misinformation with LLM-Predicted Credibility Signals and Weak Supervision.

João Augusto Leite, Olesya Razuvayevskaya, Kalina Bontcheva, Carolina Scarton

CoRR, 2023

Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.

Olesya Razuvayevskaya, Ben Wu, João Augusto Leite, Freddy Heppell, Ivan Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song

CoRR, 2023

Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification.

Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João Augusto Leite, Carolina Scarton, Kalina Bontcheva, Xingyi Song

CoRR, 2023

SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification.

Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João Augusto Leite, Carolina Scarton, Kalina Bontcheva, Xingyi Song

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks.

João Augusto Leite, Carolina Scarton, Diego F. Silva

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

2020

Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis.

João Augusto Leite, Diego F. Silva, Kalina Bontcheva, Carolina Scarton

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020