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cs.CL2025
CareMedEval dataset: Evaluating Critical Appraisal and Reasoning in the Biomedical Field
Doria Bonzi, Alexandre Guiggi, Frédéric Béchet +2
Critical appraisal of scientific literature is an essential skill in the biomedical field. While large language models (LLMs) can offer promising support in this task, their reliab…
cs.LG2025
Statistical Deficiency for Task Inclusion Estimation
Loïc Fosse, Frédéric Béchet, Benoît Favre +5
Tasks are central in machine learning, as they are the most natural objects to assess the capabilities of current models. The trend is to build general models able to address any t…
cs.CL2025
Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations
Hichem Ammar Khodja, Frédéric Béchet, Quentin Brabant +2
This paper explores the robustness of language models (LMs) to variations in the temporal context within factual knowledge. It examines whether LMs can correctly associate a tempor…