activity
20192026
most citedTranslation in the Hands of Many:Centering Lay Users in Machine Translation Interactions

6 citations · 21 across the 41 of their papers we have counts for

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cs.CL2026

RedVox: Safety and Fairness Gaps in Speech Models Across Languages

Beatrice Savoldi, Sara Papi, Wafa Aissa +2

Speech-capable models are increasingly deployed in real-world applications across languages. Yet their safety and fairness beyond English settings and under naturalistic conditions…

cs.CL2026

FBK's Long-form SpeechLLMs for IWSLT 2026 Instruction Following

Zhihang Xie, Marco Gaido, Sara Papi +2

This paper describes our submission to the IWSLT 2026 Instruction Following shared task. SpeechLLMs are developed for both short-form and long-form speech instruction following und…

cs.CL2026

DOA: Training-Free Decoder-Only Attention Policy for Long-Form Simultaneous Translation with SpeechLLMs

Sara Papi, Luisa Bentivogli

Simultaneous speech-to-text translation (SimulST) generates translations while speech is still unfolding, requiring a streaming policy that decides when to read and when to write.…

cs.CL2026

Do What I Say: A Spoken Prompt Dataset for Instruction-Following

Maike Züfle, Sara Papi, Fabian Retkowski +5

Speech Large Language Models (SLLMs) have rapidly expanded, supporting a wide range of tasks. These models are typically evaluated using text prompts, which may not reflect real-wo…

cs.CL2025

Challenging the Abilities of Large Language Models in Italian: a Community Initiative

Malvina Nissim, Danilo Croce, Viviana Patti +78

The rapid progress of Large Language Models (LLMs) has transformed natural language processing and broadened its impact across research and society. Yet, systematic evaluation of t…

cs.CL2025

Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems

Marco Gaido, Sara Papi, Mauro Cettolo +2

Streaming Speech-to-Text Translation (StreamST) requires producing translations concurrently with incoming speech under strict latency constraints, demanding models that balance lo…