18 citations · 96 across the 44 of their papers we have counts for
6 papers · 1 filter
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
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…
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…
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.…
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…
SimulU: Training-free Policy for Long-form Simultaneous Speech-to-Speech Translation
Amirbek Djanibekov, Luisa Bentivogli, Matteo Negri +1
Simultaneous speech-to-speech translation (SimulS2S) is essential for real-time multilingual communication, with increasing integration into meeting and streaming platforms. Despit…