7 citations · 11 across the 13 of their papers we have counts for
4 papers · 1 filter
Model vs. User: Whose Values Prevail? Inference-Time Value Alignment in Multi-Turn Conversations
Enrico Liscio, Anne Arzberger, Aditya Shankar +1
Human values shape how we expect language models to behave. Dominant alignment approaches treat values as global objectives, although the appropriate value orientation is personal…
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…
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…
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…