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cs.CL2026

Ouvia: A User-centered Framework for Measuring Usability of Speech Translation in Real-World Communication Scenarios

Giuseppe Attanasio, Beatrice Savoldi, Daniel Chechelnitsky +4

Speech translation (ST) is increasingly adopted in user applications, yet its evaluation largely focuses on decontextualized testbeds and holistic quality, rather than end users' c…

cs.CL2026

SEQUOR: A Multi-Turn Benchmark for Realistic Constraint Following

Beatriz Canaverde, Duarte M. Alves, José Pombal +2

In a conversation, a helpful assistant must reliably follow user directives, even as they refine, modify, or contradict earlier requests. Yet most instruction-following benchmarks…

cs.CL2025

Instituto de Telecomunicações at IWSLT 2025: Aligning Small-Scale Speech and Language Models for Speech-to-Text Learning

Giuseppe Attanasio, Sonal Sannigrahi, Ben Peters +1

This paper presents the IT-IST submission to the IWSLT 2025 Shared Task on Instruction Following Speech Processing. We submit results for the Short Track, i.e., speech recognition,…

cs.CL2025

Different Speech Translation Models Encode and Translate Speaker Gender Differently

Dennis Fucci, Marco Gaido, Matteo Negri +3

Recent studies on interpreting the hidden states of speech models have shown their ability to capture speaker-specific features, including gender. Does this finding also hold for s…

cs.CL2025

Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation

Emmanouil Zaranis, Giuseppe Attanasio, Sweta Agrawal +1

Quality estimation (QE)-the automatic assessment of translation quality-has recently become crucial across several stages of the translation pipeline, from data curation to trainin…