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20232026
most citedThe AI Co-Ethnographer: How Far Can Automation Take Qualitative Research?

2 citations · 4 across the 15 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

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…

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

The Role of Disfluencies in Speech Translation

Maike Züfle, Maria Teleki, Fabian Retkowski +5

Current speech translation systems, including SpeechLLMs, are trained on cleaned text and tend to strip disfluencies like filled pauses and false starts rather than translate them.…

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

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…

cs.SD2026

Beyond Transcripts: A Renewed Perspective on Audio Chaptering

Fabian Retkowski, Maike Züfle, Thai Binh Nguyen +2

Audio chaptering, the task of segmenting long-form audio into coherent sections, is increasingly important for navigating podcasts, lectures, and videos. Despite its relevance, res…