11 citations · 35 across the 12 of their papers we have counts for
4 papers · 1 filter
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation
Jarad Forristal, Niloofar Mireshghallah, Greg Durrett +1
Recent work has shown that energy-based language modeling is an effective framework for controllable text generation because it enables flexible integration of arbitrary discrimina…
URL-BERT: Training Webpage Representations via Social Media Engagements
Ayesha Qamar, Chetan Verma, Ahmed El-Kishky +3
Understanding and representing webpages is crucial to online social networks where users may share and engage with URLs. Common language model (LM) encoders such as BERT can be use…
Membership Inference Attacks against Language Models via Neighbourhood Comparison
Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin +3
Membership Inference attacks (MIAs) aim to predict whether a data sample was present in the training data of a machine learning model or not, and are widely used for assessing the…
Smaller Language Models are Better Black-box Machine-Generated Text Detectors
Niloofar Mireshghallah, Justus Mattern, Sicun Gao +2
With the advent of fluent generative language models that can produce convincing utterances very similar to those written by humans, distinguishing whether a piece of text is machi…