Papers by Wolf Tilo Balke

1 papers
Quantifying Bias from Decoding Techniques in Natural Language Generation (2022.coling-1)

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Challenge: Natural language generation (NLG) models can propagate social bias towards particular demography.
Approach: They propose to examine whether bias metrics like toxicity and sentiment are impacted by decoding techniques that use stochastic decoding.
Outcome: The proposed methods reveal the imperative of testing inference time bias and provide evidence on the usefulness of inspecting the entire decoding spectrum.

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