ARDUOUS 2026: 10th International Workshop on Annotation of Real World Data for Artificial Intelligent Systems
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
Call For Paper
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