237 citations
- Centre National de la Recherche ScientifiqueFR4 papers
- Galaxies, Etoiles, Physique et InstrumentationFR4 papers
- Laboratoire des Sciences du Climat et de l'EnvironnementFR4 papers
- Laboratoire de Météorologie DynamiqueFR3 papers
- Marie CurieGB3 papers
- CEA Paris-SaclayFR2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- Hamilton Health SciencesCA2 papers
- Harvard University PressUS2 papers
- London Mathematical LaboratoryGB2 papers
- Mayo Clinic in ArizonaUS2 papers
- Mayo Clinic in FloridaUS2 papers
19 papers
Large Language Models for Large-Scale, Rigorous Qualitative Analysis in Applied Health Services Research
Sasha Ronaghi, Emma-Louise Aveling, Maria Levis +3
Large language models (LLMs) show promise for improving the efficiency of qualitative analysis in large, multi-site health-services research. Yet methodological guidance for LLM in…
The Feasibility of Training Sovereign Language Models in the Global South: A Study of Brazil and Mexico
Sandra Malagon, Monica A. Ulloa Ruiz, Tatiana Elizabeth Sandoval Plaza +3
The rapid escalation of computational requirements for training large-scale language models has reinforced structural asymmetries between high-capacity jurisdictions and countries…
AI4Math: A Native Spanish Benchmark for University-Level Mathematical Reasoning in Large Language Models
Miguel Angel Peñaloza Perez, Bruno Lopez Orozco, Jesus Tadeo Cruz Soto +3
Existing mathematical reasoning benchmarks are predominantly English only or translation-based, which can introduce semantic drift and mask languagespecific reasoning errors. To ad…
Effective Generative AI: The Human-Algorithm Centaur
Soroush Saghafian, Lihi Idan
Advanced analytics science methods have enabled combining the power of artificial and human intelligence, creating \textit{centaurs} that allow superior decision-making. Centaurs a…
Thousands of AI Authors on the Future of AI
Katja Grace, Harlan Stewart, Julia Fabienne Sandkühler +4
In the largest survey of its kind, 2,778 researchers who had published in top-tier artificial intelligence (AI) venues gave predictions on the pace of AI progress and the nature an…
Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review
Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha +3
Numerous machine learning (ML) models have been developed for breast cancer using various types of data. Successful external validation (EV) of ML models is important evidence of t…