5 citations · 8 across the 4 of their papers we have counts for
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cs.CL2022★ 2 cited
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…
cs.CL2022★ 1 cited
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…