1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2023
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models
Aitor Ormazabal, Mikel Artetxe, Eneko Agirre
Methods for adapting language models (LMs) to new tasks and domains have traditionally assumed white-box access to the model, and work by modifying its parameters. However, this is…
cs.CL2023★ 1 cited
Revisiting Machine Translation for Cross-lingual Classification
Mikel Artetxe, Vedanuj Goswami, Shruti Bhosale +2
Machine Translation (MT) has been widely used for cross-lingual classification, either by translating the test set into English and running inference with a monolingual model (tran…