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cs.CL2026
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…
cs.CL2026
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…