7 citations · 7 across the 1 of their papers we have counts for
2 papers
cs.CL2023★ 3 cited
Neural Machine Translation Models Can Learn to be Few-shot Learners
Raphael Reinauer, Patrick Simianer, Kaden Uhlig +2
The emergent ability of Large Language Models to use a small number of examples to learn to perform in novel domains and tasks, also called in-context learning (ICL). In this work,…
cond-mat.mes-hall2016★ 7 cited
Keldysh functional renormalization group for electronic properties of graphene
Christian Fräßdorf, Johannes E. M. Mosig
We construct a nonperturbative nonequilibrium theory for graphene electrons interacting via the instantaneous Coulomb interaction by combining the functional renormalization group…