7 citations · 11 across the 13 of their papers we have counts for
14 papers
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…
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…
Reading Between the Signs: Predicting Future Suicidal Ideation from Adolescent Social Media Texts
Paul Blum, Enrico Liscio, Ruixuan Zhang +2
Suicide is a leading cause of death, yet predicting it remains a significant challenge. Risk factors such as depression or substance use are commonly used for prediction, but their…
Signs of Struggle: Spotting Cognitive Distortions across Language and Register
Abhishek Kuber, Enrico Liscio, Ruixuan Zhang +2
Rising mental health issues among youth have increased interest in automated approaches for detecting early signs of psychological distress in digital text. One key focus is the id…
News is More than a Collection of Facts: Moral Frame Preserving News Summarization
Enrico Liscio, Michela Lorandi, Pradeep K. Murukannaiah
News articles are more than collections of facts; they reflect journalists' framing, shaping how events are presented to the audience. One key aspect of framing is the choice to wr…
Annotator-Centric Active Learning for Subjective NLP Tasks
Michiel van der Meer, Neele Falk, Pradeep K. Murukannaiah +1
Active Learning (AL) addresses the high costs of collecting human annotations by strategically annotating the most informative samples. However, for subjective NLP tasks, incorpora…
A Hybrid Intelligence Method for Argument Mining
Michiel van der Meer, Enrico Liscio, Catholijn M. Jonker +3
Large-scale survey tools enable the collection of citizen feedback in opinion corpora. Extracting the key arguments from a large and noisy set of opinions helps in understanding th…
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems
Enrico Liscio, Luciano C. Siebert, Catholijn M. Jonker +1
Understanding citizens' values in participatory systems is crucial for citizen-centric policy-making. We envision a hybrid participatory system where participants make choices and…
Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning
Jeongwoo Park, Enrico Liscio, Pradeep K. Murukannaiah
Recent advances in NLP show that language models retain a discernible level of knowledge in deontological ethics and moral norms. However, existing works often treat morality as bi…