13 citations · 23 across the 3 of their papers we have counts for
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cs.CL2022★ 10 cited
Undesirable Biases in NLP: Addressing Challenges of Measurement
Oskar van der Wal, Dominik Bachmann, Alina Leidinger +3
As Large Language Models and Natural Language Processing (NLP) technology rapidly develop and spread into daily life, it becomes crucial to anticipate how their use could harm peop…
cs.CL2020
DoLFIn: Distributions over Latent Features for Interpretability
Phong Le, Willem Zuidema
Interpreting the inner workings of neural models is a key step in ensuring the robustness and trustworthiness of the models, but work on neural network interpretability typically f…