Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.
Dataset, May, 2024
Confidence Regulation Neurons in Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE).
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024
Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.
CoRR, 2023
Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation.
CoRR, 2023
Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification.
CoRR, 2023
SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
Don't waste a single annotation: improving single-label classifiers through soft labels.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023