Papers by Michael Mendelson

1 papers
Debiasing Methods in Natural Language Understanding Make Bias More Accessible (2021.emnlp-main)

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Challenge: Recent debiasing methods in natural language understanding improve performance on out-of-distribution datasets by pressuring models into making unbiased predictions.
Approach: They propose a general probing-based framework that allows for post-hoc interpretation of biases in language models and use an information-theoretic approach to measure the extractability of certain biase .
Outcome: The proposed framework allows for post-hoc interpretation of biases in language models and measures the extractability of certain biase .

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