Daphne Ippolito

Daphne Ippolito

I'm a senior research scientist at Google Brain. I work on understanding the limitations of neural language models, including their propensity for memorizing their training data. I also work on using natural language generation systems to build tools for creative writing. I received my PhD in 2022 from University of Pennsylvania, and I will be starting as an assistant professor at Carnegie Mellon University in fall 2023.
Authored Publications
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    PaLM: Scaling Language Modeling with Pathways
    Aakanksha Chowdhery
    Sharan Narang
    Jacob Devlin
    Maarten Bosma
    Hyung Won Chung
    Sebastian Gehrmann
    Parker Schuh
    Sasha Tsvyashchenko
    Abhishek Rao
    Yi Tay
    Noam Shazeer
    Nan Du
    Reiner Pope
    James Bradbury
    Guy Gur-Ari
    Toju Duke
    Henryk Michalewski
    Xavier Garcia
    Liam Fedus
    David Luan
    Barret Zoph
    Ryan Sepassi
    David Dohan
    Shivani Agrawal
    Mark Omernick
    Marie Pellat
    Aitor Lewkowycz
    Erica Moreira
    Rewon Child
    Oleksandr Polozov
    Zongwei Zhou
    Brennan Saeta
    Michele Catasta
    Jason Wei
    Kathy Meier-Hellstern
    arxiv:2204.02311 (2022)
    Deduplicating Training Data Makes Language Models Better
    Andrew Nystrom
    Chiyuan Zhang
    Chris Callison-Burch
    Nicholas Carlini
    (2022) (to appear)
    Towards Better Storylines with Sentence-Level Language Models
    David Grangier
    Chris Callison-Burch
    Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020), pp. 1808-1822
    Automatic Detection of Generated Text is Easiest when Humans are Fooled
    Chris Callison-Burch
    Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020), pp. 1808-1822
    Unsupervised Hierarchical Story Infilling
    David Grangier
    Chris Callison-Burch
    NAACL 2019 Workshop on Narrative Understanding, Minneapolis, MN (2019)