The consortium studies, designs, and implements innovative methodologies for KM based on the use of IE. From the scientific point of view, we focus on two aspects that are symmetric: how the use in KM poses requirements and challenges to IE and how the use of IE changes KM. From the practical point of view, we define tools and methodologies for IE-based KM.
New benchmark evaluates π #AI detection tools across languages, π finding performance gaps π in low-resource languages and challenges β οΈ with distinguishing AI-translated and hybrid humanβAI text.
@jasonslucas1 @adaku_uchendu @penn_state @Visa
π Call for Participation: @iwslt Offline Speech Translation 2026
Break language barriers with new languages & real-world scenarios + a brand new source-language agnostic speech translation track π
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Evaluation: Apr 1β15
π
#IWSLT2026 #SpeechAI
π Call for Participation: @iwslt Model Compression 2026
Make large multilingual foundation models small β‘ without losing power in ENβDE/ZH speech-to-text translation.
π
Evaluation: Apr 1β15
#IWSLT2026 #SpeechAI #Qwen2 #EfficientAI
π Call for Participation: @iwslt Subtitling 2026
Turn speech into ready-to-watch subtitles π¬ across TV, News & YouTube!
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Evaluation: Apr 1β15
#IWSLT2026 #SpeechAI #MultimodalAI