Eliciting associations between clinical variables from LLMs via comparison questions across populations
arXiv:2605.06335v1 Announce Type: new
Abstract: The training data of large language models (LLMs) comprises a wide range of biomedical literature, reflecting data from many different patient populations. We investigate how it might be possible to reco…