We have 3 of 7 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Medical Concept Recognition is the task of extracting and grounding spans in medical text to entries in a standard ontology. Current methods are generally developed towards a single ontology and source text type (clinical notes, drug labels, etc.) The central challenge is therefore to build methods that adapt to any ta...
A large-scale dataset specifically designed to assess capabilities and train models on the task of hallucination detection in medical texts, MedHal is presented, which enables more efficient evaluation and training of medical text generation systems while reducing reliance on costly expert review.
This paper proposes combining a Constraint Programming model with a Masked Language Model ( mlm) to perform Large Neighbourhood Search ( lns), and shows that it can quickly generate many high-quality sentences and molecules, even for highly-constrained tasks.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
