7 papers
Trade-offs in Medical LLM Adaptation: An Empirical Study in French QA
Ikram Belmadani, Oumaima El Khettari, Carlos Ramisch +3
The development of large language models (LLMs) has led to an increased focus on their adaptation to specialized domains and languages, yet the effectiveness of domain adaptation s…
Semantic Reranking at Inference Time for Hard Examples in Rhetorical Role Labeling
Anas Belfathi, Nicolas Hernandez, Laura Monceaux +2
Rhetorical Role Labeling (RRL) assigns a functional role to each sentence in a document and is widely used in legal, medical, and scientific domains. While language models (LMs) ac…
Who Judges the Judge? Evaluating LLM-as-a-Judge for French Medical open-ended QA
Ikram Belmadani, Oumaima El Khettari, Pacôme Constant dit Beaufils +2
Automatic evaluation of medical open-ended question answering (OEQA) remains challenging due to the need for expert annotations. We evaluate whether large language models (LLMs) ca…
Coupling Local Context and Global Semantic Prototypes via a Hierarchical Architecture for Rhetorical Roles Labeling
Anas Belfathi, Nicolas Hernandez, Laura Monceaux +4
Rhetorical Role Labeling (RRL) identifies the functional role of each sentence in a document, a key task for discourse understanding in domains such as law and medicine. While hier…
Identifying Reliable Evaluation Metrics for Scientific Text Revision
Léane Jourdan, Florian Boudin, Richard Dufour +1
Evaluating text revision in scientific writing remains a challenge, as traditional metrics such as ROUGE and BERTScore primarily focus on similarity rather than capturing meaningfu…
ParaRev: Building a dataset for Scientific Paragraph Revision annotated with revision instruction
Léane Jourdan, Nicolas Hernandez, Richard Dufour +2
Revision is a crucial step in scientific writing, where authors refine their work to improve clarity, structure, and academic quality. Existing approaches to automated writing assi…