2 citations · 2 across the 1 of their papers we have counts for
3 papers
Scaling Up Active Testing to Large Language Models
Gabrielle Berrada, Jannik Kossen, Freddie Bickford Smith +3
Active testing enables label-efficient evaluation of predictive models through careful data acquisition, but it can pose a significant computational cost. We identify cost-saving m…
Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy
Jahan C. Penny-Dimri, Magdalena Bachmann, William R. Cooke +7
Large language models (LLMs) hold substantial promise for clinical decision support. However, their widespread adoption in medicine, particularly in healthcare, is hindered by thei…
Do Multilingual LLMs Think In English?
Lisa Schut, Yarin Gal, Sebastian Farquhar
Large language models (LLMs) have multilingual capabilities and can solve tasks across various languages. However, we show that current LLMs make key decisions in a representation…