10 papers
Beyond a Global Norm: Personalizing Toxicity Sensitivity in Language Models Without Retraining
Rares A. C. Diaconescu, Iulia Slanina, Alina Florea +5
Reducing toxicity is often framed as a global alignment problem, yet perceptions of harmful language are subjective and context-dependent. We present the first comparative evaluati…
Co-Constructing Alignment: A Participatory Approach to Situate AI Values
Anne Arzberger, Enrico Liscio, Maria Luce Lupetti +2
As AI systems become embedded in everyday practice, value misalignment has emerged as a pressing concern. Yet, dominant alignment approaches remain model centric, treating users as…
Not All Subjectivity Is the Same! Defining Desiderata for the Evaluation of Subjectivity in NLP
Urja Khurana, Michiel van der Meer, Enrico Liscio +2
Subjective judgments are part of several NLP datasets and recent work is increasingly prioritizing models whose outputs reflect this diversity of perspectives. Such responses allow…
Lived Experience in Dialogue: Co-designing Personalization in Large Language Models to Support Youth Mental Well-being
Kathleen W. Guan, Sarthak Giri, Mohammed Amara +9
Youth increasingly turn to large language models (LLMs) for mental well-being support, yet current personalization in LLMs can overlook the heterogeneous lived experiences shaping…
Taking a SEAT: Predicting Value Interpretations from Sentiment, Emotion, Argument, and Topic Annotations
Adina Nicola Dobrinoiu, Ana Cristiana Marcu, Amir Homayounirad +2
Our interpretation of value concepts is shaped by our sociocultural background and lived experiences, and is thus subjective. Recognizing individual value interpretations is import…
Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments
Amir Homayounirad, Enrico Liscio, Tong Wang +2
Aggregating multiple annotations into a single ground truth label may hide valuable insights into annotator disagreement, particularly in tasks where subjectivity plays a crucial r…