activity
20192023
most citedScalable Extraction of Training Data from (Production) Language Models

83 citations · 196 across the 7 of their papers we have counts for

collaborators

10 papers

cs.HC202250 cited

Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers

Daphne Ippolito, Ann Yuan, Andy Coenen +1

Recent developments in natural language generation (NLG) using neural language models have brought us closer than ever to the goal of building AI-powered creative writing tools. Ho…

cs.CL2022

Creating Multimedia Summaries Using Tweets and Videos

Anietie Andy, Siyi Liu, Daphne Ippolito +3

While popular televised events such as presidential debates or TV shows are airing, people provide commentary on them in real-time. In this paper, we propose a simple yet effective…

cs.CL202135 cited

Wordcraft: a Human-AI Collaborative Editor for Story Writing

Andy Coenen, Luke Davis, Daphne Ippolito +2

As neural language models grow in effectiveness, they are increasingly being applied in real-world settings. However these applications tend to be limited in the modes of interacti…

cs.CL2020

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text

Liam Dugan, Daphne Ippolito, Arun Kirubarajan +1

In recent years, large neural networks for natural language generation (NLG) have made leaps and bounds in their ability to generate fluent text. However, the tasks of evaluating q…

cs.CL2020

Toward Better Storylines with Sentence-Level Language Models

Daphne Ippolito, David Grangier, Douglas Eck +1

We propose a sentence-level language model which selects the next sentence in a story from a finite set of fluent alternatives. Since it does not need to model fluency, the sentenc…

cs.CR20209 cited

COVI White Paper

Hannah Alsdurf, Edmond Belliveau, Yoshua Bengio +21

The SARS-CoV-2 (Covid-19) pandemic has caused significant strain on public health institutions around the world. Contact tracing is an essential tool to change the course of the Co…