23 citations · 93 across the 44 of their papers we have counts for
10 papers · 1 filter
CACARA: Cross-Modal Alignment Leveraging a Text-Centric Approach for Cost-Effective Multimodal and Multilingual Learning
Diego A. B. Moreira, Alef I. Ferreira, Jhessica Silva +10
As deep learning models evolve, new applications and challenges are rapidly emerging. Tasks that once relied on a single modality, such as text, images, or audio, are now enriched…
Tailored untruths: How personalisation challenges LLM safeguards
João A. Leite, João Luz, Silvia Gargova +5
Large Language Models (LLMs) can generate highly persuasive disinformation, yet little is known about how effectively they personalise it across languages and demographic groups. W…
It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
Yue Li, Zhixue Zhao, Carolina Scarton
Extremely low-resource languages, especially those written in rare scripts, as shown in Figure 1, remain largely unsupported by large language models (LLMs). This is due in part to…
GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative Classification
Iknoor Singh, Carolina Scarton, Kalina Bontcheva
The proliferation of online news and the increasing spread of misinformation necessitate robust methods for automatic data analysis. Narrative classification is emerging as a impor…
UKElectionNarratives: A Dataset of Misleading Narratives Surrounding Recent UK General Elections
Fatima Haouari, Carolina Scarton, Nicolò Faggiani +5
Misleading narratives play a crucial role in shaping public opinion during elections, as they can influence how voters perceive candidates and political parties. This entails the n…
SCRum-9: Multilingual Stance Classification over Rumours on Social Media
Yue Li, Jake Vasilakes, Zhixue Zhao +1
We introduce SCRum-9, the largest multilingual Stance Classification dataset for Rumour analysis in 9 languages, containing 7,516 tweets from X. SCRum-9 goes beyond existing stance…
SemEval-2025 Task 1: AdMIRe -- Advancing Multimodal Idiomaticity Representation
Thomas Pickard, Aline Villavicencio, Maggie Mi +3
Idiomatic expressions present a unique challenge in NLP, as their meanings are often not directly inferable from their constituent words. Despite recent advancements in Large Langu…
Exploring Vision Language Models for Multimodal and Multilingual Stance Detection
Jake Vasilakes, Carolina Scarton, Zhixue Zhao
Social media's global reach amplifies the spread of information, highlighting the need for robust Natural Language Processing tasks like stance detection across languages and modal…
A Lightweight Approach for User and Keyword Classification in Controversial Topics
Ahmad Zareie, Kalina Bontcheva, Carolina Scarton
Classifying the stance of individuals on controversial topics and uncovering their concerns is crucial for social scientists and policymakers. Data from Online Social Networks (OSN…
Leveraging Large Language Models for Zero-shot Lay Summarisation in Biomedicine and Beyond
Tomas Goldsack, Carolina Scarton, Chenghua Lin
In this work, we explore the application of Large Language Models to zero-shot Lay Summarisation. We propose a novel two-stage framework for Lay Summarisation based on real-life pr…