From the 1 of 3 linked papers with an AI index.
3 papers
Randomness in large language models: What researchers need to know (and report)
Guillaume Coqueret, Joan Llull, Florian Oswald +3
Large language models (LLMs) are increasingly used to generate data for research. Typical use cases are classifications, annotations, information extraction, and generation of nume…
The Challenger: When Do New Data Sources Justify Switching Machine Learning Models?
Vassilis Digalakis, Christophe Pérignon, Sébastien Saurin +1
The paper proposes a framework for deciding when to replace an existing predictive model with a new one that uses additional data features, linking learning‑curve dynamics to the e…
Global p-Values in Multi-Design Studies
Guillaume Coqueret, Yuming Zhang, Christophe Pérignon +2
Replicability issues -- referring to the difficulty or failure of independent researchers to corroborate the results of published studies -- have hindered the meaningful progressio…