5 citations · 8 across the 4 of their papers we have counts for
4 papers
Mix and Match: Learning-free Controllable Text Generation using Energy Language Models
Fatemehsadat Mireshghallah, Kartik Goyal, Taylor Berg-Kirkpatrick
Recent work on controlled text generation has either required attribute-based fine-tuning of the base language model (LM), or has restricted the parameterization of the attribute d…
An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization
Nikolai Vogler, Songlin Li, Yujie Xu +2
We show that a simple unsupervised masking objective can approach near supervised performance on abstractive multi-document news summarization. Our method trains a state-of-the-art…
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness
Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick
Text style can reveal sensitive attributes of the author (e.g. race or age) to the reader, which can, in turn, lead to privacy violations and bias in both human and algorithmic dec…
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa +3
Neural language models are known to have a high capacity for memorization of training samples. This may have serious privacy implications when training models on user content such…