activity
20162024
most citedPaLM: Scaling Language Modeling with Pathways

2.1k citations · 3.9k across the 32 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

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.CR2020★ 9 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…

cs.CL2020★ 19 cited

Trading Off Diversity and Quality in Natural Language Generation

Hugh Zhang, Daniel Duckworth, Daphne Ippolito +1

For open-ended language generation tasks such as storytelling and dialogue, choosing the right decoding algorithm is critical to controlling the tradeoff between generation quality…

cs.CR2020★ 378 cited

Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs

Hyunghoon Cho, Daphne Ippolito, Yun William Yu

Contact tracing is an essential tool for public health officials and local communities to fight the spread of novel diseases, such as for the COVID-19 pandemic. The Singaporean gov…