Detecting Misinformation with LLM-Predicted Credibility Signals and Weak Supervision

no code implementations • 14 Sep 2023 • João A. Leite, Olesya Razuvayevskaya, Kalina Bontcheva, Carolina Scarton

Credibility signals represent a wide range of heuristics that are typically used by journalists and fact-checkers to assess the veracity of online content.

Misinformation

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

1 code implementation • 14 Aug 2023 • Olesya Razuvayevskaya, Ben Wu, Joao A. Leite, Freddy Heppell, Ivan Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song

Adapters and Low-Rank Adaptation (LoRA) are parameter-efficient fine-tuning techniques designed to make the training of language models more efficient.

Multilingual text classification text-classification +1

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

1 code implementation • 16 Mar 2023 • Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João A. Leite, Carolina Scarton, Kalina Bontcheva, Xingyi Song

For Subtask 2 (Framing), we achieved first place in 3 languages, and the best average rank across all the languages, by using two separate ensembles: a monolingual RoBERTa-MUPPETLARGE and an ensemble of XLM-RoBERTaLARGE with adapters and task adaptive pretraining.