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07/20/2023
Building Socio-culturally Inclusive Stereotype Resources with Community Engagement
With rapid development and deployment of generative language models in g...
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06/06/2023
MISGENDERED: Limits of Large Language Models in Understanding Pronouns
Content Warning: This paper contains examples of misgendering and erasur...
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05/19/2023
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models
Stereotype benchmark datasets are crucial to detect and mitigate social ...
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11/21/2022
Cultural Re-contextualization of Fairness Research in Language Technologies in India
Recent research has revealed undesirable biases in NLP data and models. ...
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11/16/2022
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN
Auditing machine learning-based (ML) healthcare tools for bias is critic...
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10/18/2022
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks
How reliably can we trust the scores obtained from social bias benchmark...
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09/25/2022
Re-contextualizing Fairness in NLP: The Case of India
Recent research has revealed undesirable biases in NLP data and models. ...
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05/25/2022
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation
Disinformation has become a serious problem on social media. In particul...
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04/05/2022
PaLM: Scaling Language Modeling with Pathways
Large language models have been shown to achieve remarkable performance ...
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03/15/2022
Representation Learning for Resource-Constrained Keyphrase Generation
State-of-the-art keyphrase generation methods generally depend on large ...
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10/15/2021
Socially Aware Bias Measurements for Hindi Language Representations
Language representations are an efficient tool used across NLP, but they...
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08/27/2021
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
Gender is widely discussed in the context of language tasks and when exa...
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08/07/2021
What do Bias Measures Measure?
Natural Language Processing (NLP) models propagate social biases about p...
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04/06/2021
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations
Word vector embeddings have been shown to contain and amplify biases in ...
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11/25/2020
The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability
High-dimensional representations for words, text, images, knowledge grap...
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06/30/2020
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
Language representations are known to carry stereotypical biases and, as...
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08/25/2019
On Measuring and Mitigating Biased Inferences of Word Embeddings
Word embeddings carry stereotypical connotations from the text they are ...
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01/23/2019
Attenuating Bias in Word Vectors
Word vector representations are well developed tools for various NLP and...
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06/04/2018