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About us

In this year’s issue of the ARDUOUS workshop, we want to put the focus on the challenges and impact of annotation in the era of large language models (LLM) and foundation models (FM). We aim to bring together researchers from the AI community who work on topics addressing the challenges involved in producing reliable and quality-assured annotation in the era of LLMs and FMs.

Important Dates

Fri, May 22, 2026
Submission deadline

Paper Submission

Research Paper Submission Tracks

New taxonomies of uncertainty
Epistemic vs. hermeneutic uncertainty
Methodological innovations
Visualization & uncertainty communication

Call for Papers Description

We aim to bring together researchers from the AI community who work on topics addressing the challenges involved in producing reliable and quality-assured annotation in the era of LLMs and FMs. We encourage researchers within the community to share their experience of producing annotation for training/fine-tuning LLMs, impact of annotations in validating AI, labelling processes, maintenance of labels, innovative tools, methods for standardisation, and evaluation methods.

Committee

Organising Committee

Gregory Tourte

University of Oxford, UK

Kristina Yordanova

University of Greifswald, DE

Emma Tonkin

University of Bristol, UK

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