Papers by Benedetta Muscato

3 papers
Seeing All Sides: Multi-Perspective In-Context Learning for Subjective NLP (2026.findings-eacl)

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Challenge: Modern language models excel at factual reasoning but struggle with value diversity, authors say . task-sensitive tasks such as hate speech expose this limitation . human disagreement captures the diversity of plausible human perspectives, authors argue .
Approach: They evaluate four large language models with human disagreements on five datasets . they find multi-perspective in-context learning outperforms standard prompting .
Outcome: The proposed approach outperforms standard prompting on English labels while disaggregated soft predictions better align with human judgments in Arabic and Italian datasets.
Responsibility Perspective Transfer for Italian Femicide News (2023.findings-acl)

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Challenge: Existing work has shown that different descriptions of gender-based violence influence the reader’s perception of who is to blame for the violence.
Approach: They propose to automatically rewrite GBV descriptions to alter the perceived level of blame on the perpetrator.
Outcome: The proposed task alters perceived responsibility levels for perpetrators by using unsupervised, zero-shot and few-shot methods.
Towards Multi-Perspective NLP Systems: A Thesis Proposal (2025.acl-srw)

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Challenge: Existing approaches to resolving disagreements ignore individual opinions and can result in the marginalization of minority perspectives.
Approach: They propose to preserve individual labels in human-annotated datasets for subjective tasks and propose solutions for developing Perspective-Aware by design systems.
Outcome: The proposed framework will be used to develop more responsible and inclusive models.

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