Dec 19, 2022 · Here we show that we can effectively endow standard neural language generation models with a separate module that reflects unigram frequency ...

Here we show that we can effectively endow standard neural language generation models with a separate module that reflects unigram frequency statistics as prior ...

2.2 A Natural Bias. These learning trends motivate trying to supply language generation models with a natural starting point: the unigram distribution.

Experiments in neural machine translation demonstrate that this simple technique: (i) improves learning efficiency; (ii) achieves better overall performance; ...

Dec 19, 2022 · This work shows that it can effectively endow standard neural language generation models with a separate module that reflects unigram ...

Request PDF | On Jan 1, 2023, Clara Meister and others published A Natural Bias for Language Generation Models | Find, read and cite all the research you ...

Dec 19, 2022 · Abstract#. Standard probabilistic models for language generation have difficulty estimating the right probability distribution over next tokens.

Aug 20, 2021 · We outline five sources where bias can occur in NLP systems: (1) the data, (2) the annotation process, (3) the input representations, (4) the models, and ...

Sep 4, 2024 · Language bias occurs because AI models are often trained on data sets dominated by English-language information.

Mar 3, 2023 · MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.