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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...
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06/28/2022
Flexible text generation for counterfactual fairness probing
A common approach for testing fairness issues in text-based classifiers ...
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12/13/2021
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Scaling language models with more data, compute and parameters has drive...
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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 ...
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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...
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02/12/2021
They, Them, Theirs: Rewriting with Gender-Neutral English
Responsible development of technology involves applications being inclus...
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11/06/2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning
ML models often exhibit unexpectedly poor behavior when they are deploye...
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10/12/2020
Measuring and Reducing Gendered Correlations in Pre-trained Models
Pre-trained models have revolutionized natural language understanding. H...
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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...
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06/16/2020
Scalable Cross Lingual Pivots to Model Pronoun Gender for Translation
Machine translation systems with inadequate document understanding can m...
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05/02/2020
Social Biases in NLP Models as Barriers for Persons with Disabilities
Building equitable and inclusive NLP technologies demands consideration ...
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04/29/2020
Automatically Identifying Gender Issues in Machine Translation using Perturbations
The successful application of neural methods to machine translation has ...
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10/11/2018
