Can Large Language Models (or Humans) Disentangle Text?

no code implementations • 25 Mar 2024 • Nicolas Audinet de Pieuchon, Adel Daoud, Connor Thomas Jerzak, Moa Johansson, Richard Johansson

We investigate the potential of large language models (LLMs) to disentangle text variables--to remove the textual traces of an undesired forbidden variable in a task sometimes known as text distillation and closely related to the fairness in AI and causal inference literature.

Causal Inference Disentanglement +1