9 papers
Poli-Bias: Understanding and Measuring Large Language Model Biases in International Political Conflicts
Massi-Nissa Abboud, Aladin Djuhera, Elena Cabrio +1
Measuring political bias in large language models (LLMs) remains challenging as it can manifest through subtle differences in framing, argumentation, and legal reasoning that are d…
RooseBERT: A New Deal For Political Language Modelling
Deborah Dore, Elena Cabrio, Serena Villata
The increasing amount of political debates and politics-related discussions calls for the definition of novel computational methods to automatically analyse such content with the f…
Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detection
Sofiane Elguendouze, Erwan Hain, Elena Cabrio +1
Argumentative component detection (ACD) is a core subtask of Argument(ation) Mining (AM) and one of its most challenging aspects, as it requires jointly delimiting argumentative sp…
PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions
Greta Damo, Stéphane Petiot, Elena Cabrio +1
The increasing volume of hate speech on online platforms poses significant societal challenges. While the Natural Language Processing community has developed effective methods to a…
Stakeholder Suite: A Unified AI Framework for Mapping Actors, Topics and Arguments in Public Debates
Mohamed Chenene, Jeanne Rouhier, Jean Daniélou +2
Public debates surrounding infrastructure and energy projects involve complex networks of stakeholders, arguments, and evolving narratives. Understanding these dynamics is crucial…
Beating Harmful Stereotypes Through Facts: RAG-based Counter-speech Generation
Greta Damo, Elena Cabrio, Serena Villata
Counter-speech generation is at the core of many expert activities, such as fact-checking and hate speech, to counter harmful content. Yet, existing work treats counter-speech gene…