4 papers
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text
Abderrahmane Issam, Yusuf Can Semerci, Jan Scholtes +1
End-to-End Speech Translation (E2E-ST) has seen significant advancements, yet current models are primarily benchmarked on curated, "clean" datasets. This overlooks critical real-wo…
Traceable by Design: An LLM Pipeline and Dashboard for EU Regulatory Consultation Analysis
Thales Bertaglia, Haoyang Gui, Catalina Goanta +1
Public consultations generate large volumes of data in the form of stakeholder submissions that are practically unfeasible to analyse manually. We present an end-to-end LLM-based p…
Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act
Lucas G. Uberti-Bona Marin, Bram Rijsbosch, Kristof Meding +3
Technical and legal debates frequently suggest that "accuracy" is an objective, measurable, and purely technical property. We challenge this view, showing that evaluating AI perfor…
From FusHa to Folk: Exploring Cross-Lingual Transfer in Arabic Language Models
Abdulmuizz Khalak, Abderrahmane Issam, Gerasimos Spanakis
Arabic Language Models (LMs) are pretrained predominately on Modern Standard Arabic (MSA) and are expected to transfer to its dialects. While MSA as the standard written variety is…