5 papers
From Plausible to Actionable: A Position on LLM Self-Explanations
Elize Herrewijnen, Benedetta Muscato, Gizem Gezici +1
Large Language Models (LLMs) can generate natural language explanations that rationalize their own decisions, a phenomenon commonly referred to as self-explanations.Such explanatio…
Disagreeing Rationales: Rethinking Classification and Explainability Evaluation in Hate Speech Detection
Benedetta Muscato, Beiduo Chen, Gizem Gezici +2
Human disagreement is ubiquitous and well-known in labeling. However, variation in explanations, captured through token-level human rationales, remains far less explored. At the sa…
Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
Benedetta Muscato, Lucia Passaro, Gizem Gezici +1
In the realm of Natural Language Processing (NLP), common approaches for handling human disagreement consist of aggregating annotators' viewpoints to establish a single ground trut…
Multi-Perspective Stance Detection
Benedetta Muscato, Praveen Bushipaka, Gizem Gezici +2
Subjective NLP tasks usually rely on human annotations provided by multiple annotators, whose judgments may vary due to their diverse backgrounds and life experiences. Traditional…
Embracing Diversity: A Multi-Perspective Approach with Soft Labels
Benedetta Muscato, Praveen Bushipaka, Gizem Gezici +3
Prior studies show that adopting the annotation diversity shaped by different backgrounds and life experiences and incorporating them into the model learning, i.e. multi-perspectiv…