Papers by Sonia Bergamaschi
COVER: Context-Driven Over-Refusal Verification in LLMs (2025.findings-acl)
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| Challenge: | Large Language Models (LLMs) have become increasingly prevalent in the field of Natural Language Processing (NLP), achieving unprecedented performance across linguistic tasks. |
| Approach: | They propose a framework to quantify and analyze context-driven over-refusal . they find that over-fusals depend on the task, system prompts, model family, and the number of retrieved documents. |
| Outcome: | The proposed framework quantifyes and analyzes the concept of context-driven over-refusal on two public corpora. |
RoBERT2VecTM: A Novel Approach for Topic Extraction in Islamic Studies (2024.findings-emnlp)
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| Challenge: | a new approach to investigate “Hadith” texts presents challenges due to the complexity of Arabic . a novel neural-based approach to analyze “Matn” topics outperforms traditional NLP models . |
| Approach: | They propose a novel approach to analyze Arabic “Hadith” texts using the Contextualized Topic Model. |
| Outcome: | The proposed approach outperforms state-of-the-art models by generating more coherent topics in Arabic. |