activity
20192026
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

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12 papers · 1 filter

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.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

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…