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cs.CL2021★ 1 cited
Interactively Providing Explanations for Transformer Language Models
Felix Friedrich, Patrick Schramowski, Christopher Tauchmann +1
Transformer language models are state of the art in a multitude of NLP tasks. Despite these successes, their opaqueness remains problematic. Recent methods aiming to provide interp…
cs.CL2021
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do
Patrick Schramowski, Cigdem Turan, Nico Andersen +2
Artificial writing is permeating our lives due to recent advances in large-scale, transformer-based language models (LMs) such as BERT, its variants, GPT-2/3, and others. Using the…