Papers by Karen Pinel-Sauvagnat
Not all Hallucinations are Good to Throw Away When it Comes to Legal Abstractive Summarization (2025.naacl-long)
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| Challenge: | Existing models for summarization of legal documents rely on external knowledge to generate abstracts. |
| Approach: | They propose an entity-driven approach that learns the model to generate factual hallucinations . they evaluate legal documents in English and French to evaluate their results . |
| Outcome: | The proposed approach reduces non-factual hallucinations and maximizes summary coverage and factual hallucines at entity-level. |
Exploring the Value of Multi-View Learning for Session-Aware Query Representation (2022.findings-naacl)
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| Challenge: | Existing approaches to learn distributed query representations only consider user’s query reformulations or system’s rankings . previous studies show that user’ s query behavior and knowledge change depending on the system’ 'results' and intertwine and affect each other during the completion of a search task. |
| Approach: | They propose to use multi-view learning methods to align query embeddings with document ranking representations using transformers. |
| Outcome: | The proposed approach can capture search intent semantics and can reflect user's query behavior and knowledge. |