Emily Reif

According to our database, Emily Reif authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding the Dataset Practitioners Behind Large Language Model Development.

Crystal Qian, Emily Reif, Minsuk Kahng

CoRR, 2024

Automatic Histograms: Leveraging Language Models for Text Dataset Exploration.

Emily Reif, Crystal Qian, James Wexler, Minsuk Kahng

CoRR, 2024

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models.

Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon

CoRR, 2024

2023

PaLM: Scaling Language Modeling with Pathways.

Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel

J. Mach. Learn. Res., 2023

SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata.

Mark Díaz, Sunipa Dev, Emily Reif, Remi Denton, Vinodkumar Prabhakaran

CoRR, 2023

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity.

Shayne Longpre, Gregory Yauney, Emily Reif, Katherine Lee, Adam Roberts, Barret Zoph, Denny Zhou, Jason Wei, Kevin Robinson, David Mimno, Daphne Ippolito

CoRR, 2023

Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models.

Emily Reif, Minsuk Kahng, Savvas Petridis

Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

Data Similarity is Not Enough to Explain Language Model Performance.

Gregory Yauney, Emily Reif, David Mimno

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank.

Daphne Ippolito, Liam Dugan, Emily Reif, Ann Yuan, Andy Coenen, Chris Callison-Burch

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Wordcraft: Story Writing With Large Language Models.

Ann Yuan, Andy Coenen, Emily Reif, Daphne Ippolito

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

A Recipe for Arbitrary Text Style Transfer with Large Language Models.

Emily Reif, Daphne Ippolito, Ann Yuan, Andy Coenen, Chris Callison-Burch, Jason Wei

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Wordcraft: a Human-AI Collaborative Editor for Story Writing.

Andy Coenen, Luke Davis, Daphne Ippolito, Emily Reif, Ann Yuan

CoRR, 2021

An Interpretability Illusion for BERT.

Tolga Bolukbasi, Adam Pearce, Ann Yuan, Andy Coenen, Emily Reif, Fernanda B. Viégas, Martin Wattenberg

CoRR, 2021

2020

Evaluating Attribution for Graph Neural Networks.

Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee, Emily Reif, Peter Wang, Wesley Wei Qian, Kevin McCloskey, Lucy J. Colwell, Alexander B. Wiltschko

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models.

Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

2019

Similar image search for histopathology: SMILY.

Narayan Hegde, Jason D. Hipp, Yun Liu, Michael Emmert-Buck, Emily Reif, Daniel Smilkov, Michael Terry, Carrie J. Cai, Mahul B. Amin, Craig H. Mermel, Philip Q. Nelson, Lily H. Peng, Gregory S. Corrado, Martin C. Stumpe

npj Digit. Medicine, 2019

Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure.

Been Kim, Emily Reif, Martin Wattenberg, Samy Bengio

CoRR, 2019

Visualizing and Measuring the Geometry of BERT.

Emily Reif, Ann Yuan, Martin Wattenberg, Fernanda B. Viégas, Andy Coenen, Adam Pearce, Been Kim

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making.

Carrie J. Cai, Emily Reif, Narayan Hegde, Jason D. Hipp, Been Kim, Daniel Smilkov, Martin Wattenberg, Fernanda B. Viégas, Gregory S. Corrado, Martin C. Stumpe, Michael Terry

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Bandit-Based Solar Panel Control.

David Abel, Edward C. Williams, Stephen Brawner, Emily Reif, Michael L. Littman

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Embedding Projector: Interactive Visualization and Interpretation of Embeddings.

Daniel Smilkov, Nikhil Thorat, Charles Nicholson, Emily Reif, Fernanda B. Viégas, Martin Wattenberg

CoRR, 2016