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20242026
most citedThe AI Co-Ethnographer: How Far Can Automation Take Qualitative Research?

2 citations · 3 across the 16 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

Paragraph Segmentation Revisited: Towards a Standard Task for Structuring Speech

Fabian Retkowski, Alexander Waibel

Automatic speech transcripts are often delivered as unstructured word streams that impede readability and repurposing. We recast paragraph segmentation as the missing structuring s…

cs.CL2025

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…

cs.CL2025

Context Biasing for Pronunciation-Orthography Mismatch in Automatic Speech Recognition

Christian Huber, Alexander Waibel

Neural sequence-to-sequence systems deliver state-of-the-art performance for automatic speech recognition. When using appropriate modeling units, e.g., byte-pair encoding, these sy…

cs.CL2025★ 2 cited

The AI Co-Ethnographer: How Far Can Automation Take Qualitative Research?

Fabian Retkowski, Andreas Sudmann, Alexander Waibel

Qualitative research often involves labor-intensive processes that are difficult to scale while preserving analytical depth. This paper introduces The AI Co-Ethnographer (AICoE), a…

cs.CL2025

Zero-Shot Strategies for Length-Controllable Summarization

Fabian Retkowski, Alexander Waibel

Large language models (LLMs) struggle with precise length control, particularly in zero-shot settings. We conduct a comprehensive study evaluating LLMs' length control capabilities…