Large language models are informing decisions with ever-higher stakes. As the consequences of their errors grow, a central question becomes harder to ignore: how much can we trust an individual answer? Yet recognizing when to defer remains difficult because language models can present incorrect conclusions with fluent...
Tobias Braun, Nils Loose, Alexander Herzog et al.· 0 citations
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· arXiv.org· 1 citation
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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.