168 citations · 316 across the 8 of their papers we have counts for
8 papers
PaLM 2 Technical Report
Rohan Anil, Andrew M. Dai, Orhan Firat +125
We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 i…
Language Models Trained on Media Diets Can Predict Public Opinion
Eric Chu, Jacob Andreas, Stephen Ansolabehere +1
Public opinion reflects and shapes societal behavior, but the traditional survey-based tools to measure it are limited. We introduce a novel approach to probe media diet models --…
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction
Eric Chu, Deb Roy, Jacob Andreas
We present a randomized controlled trial for a model-in-the-loop regression task, with the goal of measuring the extent to which (1) good explanations of model predictions increase…
Games for Fairness and Interpretability
Eric Chu, Nabeel Gillani, Sneha Priscilla Makini
As Machine Learning (ML) systems becomes more ubiquitous, ensuring the fair and equitable application of their underlying algorithms is of paramount importance. We argue that one w…
Learning Personas from Dialogue with Attentive Memory Networks
Eric Chu, Prashanth Vijayaraghavan, Deb Roy
The ability to infer persona from dialogue can have applications in areas ranging from computational narrative analysis to personalized dialogue generation. We introduce neural mod…
MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization
Eric Chu, Peter J. Liu
Abstractive summarization has been studied using neural sequence transduction methods with datasets of large, paired document-summary examples. However, such datasets are rare and…