3 papers
cs.CL2025
Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data
Leonardo Castro-Gonzalez, Yi-Ling Chung, Hannak Rose Kirk +4
The field of machine learning has recently made significant progress in reducing the requirements for labelled training data when building new models. These `cheaper' learning tech…
cs.CL2025
Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate
Mikel K. Ngueajio, Flor Miriam Plaza-del-Arco, Yi-Ling Chung +2
Automated counter-narratives (CN) offer a promising strategy for mitigating online hate speech, yet concerns about their affective tone, accessibility, and ethical risks remain. We…
cs.CL2025
Beyond Translation: LLM-Based Data Generation for Multilingual Fact-Checking
Yi-Ling Chung, Aurora Cobo, Pablo Serna
Robust automatic fact-checking systems have the potential to combat online misinformation at scale. However, most existing research primarily focuses on English. In this paper, we…