Papers with explicit causal diagram

1 papers
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models (2024.lrec-main)

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Challenge: a number of studies have reported high accuracies in NLP tasks due to simple heuristics and dataset artifacts.
Approach: They use a case where two words/terms occur in a shared context to construct a causal diagram . they also investigate the robustness to irrelevant changes and sensitivity to impactful changes of Transformers .
Outcome: The proposed method bolsters the fact that similar benchmark accuracy scores may be observed for models that exhibit very different behaviour.

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