activity
20242026
most citedMedical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain

12 citations · 12 across the 12 of their papers we have counts for

collaborators

15 papers

cs.AI2026

Extracting Arguments, Not Just Classifying Them: Instruction-Tuned LLMs for Generative 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…

cs.CL2026

Deconstructing Stereotypes: Scope-Conditioned Generation for Effective Multilingual Counterspeech

Greta Damo, Elias Urios Alacreu, Elena Cabrio +2

Counterspeech (CS) - direct responses that counter online Hate Speech (HS) using reasoning and alternative viewpoints - has emerged as an alternative to content removal. Current au…

cs.CL2026

CRITICS - Critical Science Without Borders: Language Models to Promote Critical Thinking in Science Education

Rodrigo Agerri, Itziar Aldabe, Elena Cabrio +10

The CRITICS project addresses science accessibility and literacy by converging advanced Machine Translation (MT) based on Large Language Models (LLMs) with educational technology.…

cs.AI2026

Retrieving Relations, Detecting Fallacies: A RAG Approach to Political Debate Analysis

Deborah Dore, Greta Damo, Elena Cabrio +1

Fallacies are arguments that employ invalid reasoning, making their automatic detection critical in sensitive contexts such as high-stakes political debates, where public opinion i…

cs.AI2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

Effectiveness of Counter-Speech against Abusive Content: A Multidimensional Annotation and Classification Study

Greta Damo, Elena Cabrio, Serena Villata

Counter-speech (CS) is a key strategy for mitigating online Hate Speech (HS), yet defining the criteria to assess its effectiveness remains an open challenge. We propose a novel co…

cs.CL2024

CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures

Ekaterina Sviridova, Anar Yeginbergen, Ainara Estarrona +3

Explaining Artificial Intelligence (AI) decisions is a major challenge nowadays in AI, in particular when applied to sensitive scenarios like medicine and law. However, the need to…

cs.CL2024

Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering

Helena Bonaldi, Greta Damo, Nicolás Benjamín Ocampo +3

The potential effectiveness of counterspeech as a hate speech mitigation strategy is attracting increasing interest in the NLG research community, particularly towards the task of…

cs.CL2024★ 12 cited

Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain

Iker García-Ferrero, Rodrigo Agerri, Aitziber Atutxa Salazar +10

Research on language technology for the development of medical applications is currently a hot topic in Natural Language Understanding and Generation. Thus, a number of large langu…

cs.CL2024

Argument Quality Assessment in the Age of Instruction-Following Large Language Models

Henning Wachsmuth, Gabriella Lapesa, Elena Cabrio +5

The computational treatment of arguments on controversial issues has been subject to extensive NLP research, due to its envisioned impact on opinion formation, decision making, wri…