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cs.CL2026

Speech-to-SOAP: End-to-End Summarization of Medical Dialogues: KIT@BeTraC 2026

Enes Yavuz Ugan, Fabian Retkowski, Yuka Ko +4

With the advent of Large Language Models and its instruction following capabilities a promising application is the task of summarization. Within this domain of task the extractive…

cs.CL2026

Adding Robust Code-Switching Capabilities to High Performance Multilingual ASR

Enes Yavuz Ugan, Alexander Waibel

Code-switching (CSW) remains challenging for large multi-lingual ASR systems in real-world deployment. While fine-tuning on synthetic CSW data is possible, it generally degrades st…

cs.CL2026

Multilingual Long-Form Speech Instruction Following: KIT's Submission to IWSLT 2026

Enes Yavuz Ugan, Maike Züfle, Yuka Ko +5

With the advent of Large Language Models, single-task and token-based multi-task models have evolved into instruction-based systems that infer task and target language implicitly f…

cs.CL2026

MUSCAT: MUltilingual, SCientific ConversATion Benchmark

Supriti Sinhamahapatra, Thai-Binh Nguyen, Yiğit Oğuz +3

The goal of multilingual speech technology is to facilitate seamless communication between individuals speaking different languages, creating the experience as though everyone were…

cs.CL2026

BOOM: Beyond Only One Modality KIT's Multimodal Multilingual Lecture Companion

Sai Koneru, Fabian Retkowski, Christian Huber +5

The globalization of education and rapid growth of online learning have made localizing educational content a critical challenge. Lecture materials are inherently multimodal, combi…