Fetching the paper…
Reading the bibliography…
This paper presents exploratory work on whether and to what extent biases against queer and trans people are encoded in large language models (LLMs) such as BERT.
CrowS-pairs: A challenge dataset for measuring social biases in masked language models
Nikita Nangia, Clara Vania, Rasika Bhalerao, and Samuel R. Bowman. 2020 · 1967
Earlier work this paper cites.
The relevance of algorithms
Tarleton Gillespie and Pablo J. Boczkowski. 2013 · 2013
Earlier work this paper cites.
Automated Media: An Institutional Theory Perspective on Algorithmic Media Production and Consumption
Philip M. Napoli. 2014 · 2014
Earlier work this paper cites.
The Black Box Society: The Secret Algorithms That Control Money and Information
Frank Pasquale. 2015 · 2015
Earlier work this paper cites.
Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation
Reuben Binns, Michael Veale, Max Van Kleek, and Nigel Shadbolt. 2017 · 2017
Earlier work this paper cites.
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J. Bryson, and Arvind Narayanan. 2017 · 2017
Earlier work this paper cites.
Ontonotes : A large training corpus for enhanced processing
Ralph M. Weischedel, Eduard H. Hovy, Mitchell P. Marcus, and Martha Palmer. 2017 · 2017
Earlier work this paper cites.
Gender shades: Intersectional accuracy disparities in commercial gender classification
Joy Buolamwini and Timnit Gebru. 2018 · 2018
Earlier work this paper cites.
Measuring and Mitigating Unintended Bias in Text Classification
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2018 · 2018
Earlier work this paper cites.
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
Virginia Eubanks. 2018 · 2018
Earlier work this paper cites.
Algorithms of oppression
Safiya Umoja Noble. 2018 · 2018
Cited alongside, same era.
Gender bias in coreference resolution
Rachel Rudinger, Jason Naradowsky, Brian Leonard, and Benjamin Van Durme. 2018 · 2018
Cited alongside, same era.
Let’s Talk About Race: Identity, Chatbots, and AI
Ari Schlesinger, Kenton P. O’Hara, and Alex S. Taylor. 2018 · 2018
Cited alongside, same era.
Mind the GAP: A balanced corpus of gendered ambiguous pronouns
Kellie Webster, Marta Recasens, Vera Axelrod, and Jason Baldridge. 2018 · 2018
Cited alongside, same era.
An analysis of gender bias studies in natural language processing
Marta R. Costa-jussà. 2019 · 2019
Cited alongside, same era.
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Thomas Davidson, Debasmita Bhattacharya, and Ingmar Weber. 2019 · 2019
Cited alongside, same era.
Language (technology) is power: A critical survey of “bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. 2020 · 2020
Later among the works it cites.
Toward gender-inclusive coreference resolution
Yang Trista Cao and Hal Daumé III. 2020 · 2020
Later among the works it cites.
Content moderation, AI, and the question of scale
Tarleton Gillespie. 2020 · 2020
Later among the works it cites.
SpanBERT: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
Later among the works it cites.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
Later among the works it cites.
Quantifying social biases in NLP: A generalization and empirical comparison of extrinsic fairness metrics
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
BERT for coreference resolution: Baselines and analysis
Mandar Joshi, Omer Levy, Daniel S. Weld, and Luke Zettlemoyer. 2019 · 2019
Cited alongside, same era.
On measuring social biases in sentence encoders
Chandler May, Alex Wang, Shikha Bordia, Samuel R. Bowman, and Rachel Rudinger. 2019 · 2019
Cited alongside, same era.
The Risk of Racial Bias in Hate Speech Detection
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, and Noah A. Smith. 2019 · 2019
Cited alongside, same era.
Paula Czarnowska, Yogarshi Vyas, and Kashif Shah. 2021 · 2021
Later among the works it cites.
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
Jesse Dodge, Maarten Sap, Ana Marasović, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, and Matt Gardner. 2021 · 2021
Later among the works it cites.
StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, and Siva Reddy. 2021 · 2021
Later among the works it cites.
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities
Nenad Tomasev, Kevin R. McKee, Jackie Kay, and Shakir Mohamed. 2021 · 2021
Later among the works it cites.