
Emily Reif
I'm a software engineer on Google's People and AI Research team. I make tools for researchers, students, laypeople and other end users to better understand the ML models that are now ubiquitous in our lives. A short list of these projects includes the Embedding Projector, this recent paper on interpretability for language models, the Waterfall of Meaning, and SMILY, a tool for pathologists.
Authored Publications
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LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
Minsuk Kahng
Michael Xieyang Liu
Krystal Kallarackal
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24), ACM (2024)
Automatic Histograms: Leveraging Language Models for Text Dataset Exploration
Minsuk Kahng
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24), ACM, Honolulu, HI, USA (2024), pp. 9
Understanding the Dataset Practitioners Behind Large Language Models
Minsuk Kahng
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24), ACM, Honolulu, HI, USA (2024)
Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models
Minsuk Kahng
IEEE Conference on Visualization and Visual Analytics (VIS), IEEE (2023)
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)
Evaluating Attribution for Graph Neural Networks
Alexander B Wiltschko
Benjamin Sanchez-Lengeling
Brian Lee
Jennifer Wei
Wesley Qian
Yiliu Wang
Advances in Neural Information Processing Systems 33 (2020)
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
Andy Coenen
Sebastian Gehrmann
Ellen Jiang
Carey Radebaugh
Ann Yuan
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Association for Computational Linguistics (to appear)
Similar Image Search for Histopathology: SMILY
Jason Hipp
Michael Emmert-Buck
Daniel Smilkov
Mahul Amin
Craig Mermel
Lily Peng
Martin Stumpe
Nature Partner Journal (npj) Digital Medicine (2019)
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making
Jason Hipp
Daniel Smilkov
Martin Stumpe
Conference on Human Factors in Computing Systems (2019)