activity
20242026
collaborators

21 papers

cs.CL2026

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…

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

Cross-Attention is Half Explanation in Speech-to-Text Models

Sara Papi, Dennis Fucci, Marco Gaido +2

Cross-attention is a core mechanism in encoder-decoder architectures, widespread in many fields, including speech-to-text (S2T) processing. Its scores have been repurposed for vari…

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…