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cs.CL2025
Uncovering Competency Gaps in Large Language Models and Their Benchmarks
Maty Bohacek, Nino Scherrer, Nicholas Dufour +3
The evaluation of large language models relies heavily on standardized benchmarks. These benchmarks provide useful aggregated metrics, but can obscure (i) particular sub-areas wher…
cs.LG2025
An evolutionary perspective on modes of learning in Transformers
Alexander Y. Ku, Thomas L. Griffiths, Stephanie C. Y. Chan
The success of Transformers lies in their ability to improve inference through two complementary strategies: the permanent refinement of model parameters via in-weight learning (IW…