Kellie Webster | DeepAI

DeepAI AI Chat

Featured Co-authors

PetsTime
196 publications
William Yang Wang
166 publications
Quoc V. Le
113 publications
Kun Zhang
106 publications
Anders Søgaard
93 publications
Andrea Montanari
78 publications
Yonghui Wu
72 publications
Orhan Firat
68 publications
Jacob Eisenstein
54 publications
Marta R. Costa-Jussà
52 publications
Jordan Boyd-Graber
48 publications

∙ 10/31/2022

Query Refinement Prompts for Closed-Book Long-Form Question Answering

Large language models (LLMs) have been shown to perform well in answerin...

0 Reinald Kim Amplayo, et al. ∙

∙ 06/28/2022

Flexible text generation for counterfactual fairness probing

A common approach for testing fairness issues in text-based classifiers ...

3 Zee Fryer, et al. ∙

∙ 12/13/2021

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Scaling language models with more data, compute and parameters has drive...

4 Nan Du, et al. ∙

∙ 04/15/2021

Towards Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering

Question Answering (QA) tasks are used as benchmarks of general machine ...

0 Maharshi Gor, et al. ∙

∙ 04/07/2021

How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP

At the Workshop on Gender Bias in NLP (GeBNLP), we'd like to encourage a...

0 Christian Hardmeier, et al. ∙

∙ 02/12/2021

They, Them, Theirs: Rewriting with Gender-Neutral English

Responsible development of technology involves applications being inclus...

0 Tony Sun, et al. ∙

∙ 11/06/2020

Underspecification Presents Challenges for Credibility in Modern Machine Learning

ML models often exhibit unexpectedly poor behavior when they are deploye...

30 Alexander D'Amour, et al. ∙

∙ 10/12/2020

Measuring and Reducing Gendered Correlations in Pre-trained Models

Pre-trained models have revolutionized natural language understanding. H...

1 Kellie Webster, et al. ∙

∙ 09/24/2020

Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias

The one-sided focus on English in previous studies of gender bias in NLP...

0 Ana Valeria Gonzalez, et al. ∙

∙ 06/16/2020

Scalable Cross Lingual Pivots to Model Pronoun Gender for Translation

Machine translation systems with inadequate document understanding can m...

0 Kellie Webster, et al. ∙

∙ 05/02/2020

Social Biases in NLP Models as Barriers for Persons with Disabilities

Building equitable and inclusive NLP technologies demands consideration ...

0 Ben Hutchinson, et al. ∙

∙ 04/29/2020

Automatically Identifying Gender Issues in Machine Translation using Perturbations

The successful application of neural methods to machine translation has ...

0 Hila Gonen, et al. ∙

∙ 10/11/2018

Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns

Coreference resolution is an important task for natural language underst...

0 Kellie Webster, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world