6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.AI2023★ 1 cited
Inferring Capabilities from Task Performance with Bayesian Triangulation
John Burden, Konstantinos Voudouris, Ryan Burnell +3
As machine learning models become more general, we need to characterise them in richer, more meaningful ways. We describe a method to infer the cognitive profile of a system from d…
cs.CL2023★ 6 cited
Revealing the structure of language model capabilities
Ryan Burnell, Han Hao, Andrew R. A. Conway +1
Building a theoretical understanding of the capabilities of large language models (LLMs) is vital for our ability to predict and explain the behavior of these systems. Here, we inv…