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Yejin Jeon

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SpeechJBB: Probing Safety Alignment and Comprehension in Large Audio Language Models under Code-Switched Speech

SpeechJBB is introduced, an audio jailbreak dataset for benchmarking state-of-the-art LALMs across five European languages: English, French, German, Italian, and Spanish, as well as code-switched variants combining pairs of these languages, and the extent of safety weaknesses is probed.

Virginia Ceccatelli, Yejin Jeon, David Ifeoluwa Adelani · 1 citation
Preprint Aug 2026

VoxSumm: A Multilingual Corpus of Long-Form Spoken News for Joint Summarization and Translation

This work formalizes joint speech summarization and translation (JSumT), the generation of a succinct, faithful target-language summary directly from a long spoken document in a source language, and establishes a foundation for developing and evaluating multilingual systems capable of jointly interpreting, compressing,...

Yejin Jeon, Marie Maltais, Virginia Ceccatelli et al. · 0 citations

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