Sunipa Dev | DeepAI

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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...

0 Sunipa Dev, et al. ∙

∙ 06/06/2023

MISGENDERED: Limits of Large Language Models in Understanding Pronouns

Content Warning: This paper contains examples of misgendering and erasur...

0 Tamanna Hossain, et al. ∙

∙ 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 ...

0 Akshita Jha, et al. ∙

∙ 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. ...

0 Shaily Bhatt, et al. ∙

∙ 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...

25 Anaelia Ovalle, et al. ∙

∙ 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...

0 Nikil Roashan Selvam, et al. ∙

∙ 09/25/2022

Re-contextualizing Fairness in NLP: The Case of India

Recent research has revealed undesirable biases in NLP data and models. ...

1 Shaily Bhatt, et al. ∙

∙ 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...

10 Jingnong Qu, et al. ∙

∙ 04/05/2022

PaLM: Scaling Language Modeling with Pathways

Large language models have been shown to achieve remarkable performance ...

6 Aakanksha Chowdhery, et al. ∙

∙ 03/15/2022

Representation Learning for Resource-Constrained Keyphrase Generation

State-of-the-art keyphrase generation methods generally depend on large ...

0 Di Wu, et al. ∙

∙ 10/15/2021

Socially Aware Bias Measurements for Hindi Language Representations

Language representations are an efficient tool used across NLP, but they...

0 Vijit Malik, et al. ∙

∙ 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...

0 Sunipa Dev, et al. ∙

∙ 08/07/2021

What do Bias Measures Measure?

Natural Language Processing (NLP) models propagate social biases about p...

6 Sunipa Dev, et al. ∙

∙ 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 ...

4 Archit Rathore, et al. ∙

∙ 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...

0 Sunipa Dev, et al. ∙

∙ 06/30/2020

OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings

Language representations are known to carry stereotypical biases and, as...

0 Sunipa Dev, et al. ∙

∙ 08/25/2019

On Measuring and Mitigating Biased Inferences of Word Embeddings

Word embeddings carry stereotypical connotations from the text they are ...

0 Sunipa Dev, et al. ∙

∙ 01/23/2019

Attenuating Bias in Word Vectors

Word vector representations are well developed tools for various NLP and...

0 Sunipa Dev, et al. ∙

∙ 06/04/2018

Absolute Orientation for Word Embedding Alignment

We propose a new technique to align word embeddings which are derived fr...

0 Sunipa Dev, et al. ∙

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