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Detoxifying Language Models Risks Marginalizing Minority Voices

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractLanguage models (LMs) must be both safe and equitable to be responsibly deployed in practice. With safety in mind, numerous detoxification techniques (e.g., Dathathri et al. 2020; Krause et al. …...

21684

The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error

Authors: nan

Publication: TIPSTER (2022)

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AbstractDiscourse analysis allows us to attain inferences of a text document that extend beyond the sentence-level. The current performance of discourse models is very low on texts outside of the …...

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An Invariant Learning Characterization of Controlled Text Generation

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Publication: TIPSTER (2023)

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AbstractControlled generation refers to the problem of creating text that contains stylistic or semantic attributes of interest. Many approaches reduce this problem to training a predictor of the desired attribute. …...

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