Fairness in deep learning: A survey on vision and language research

O Parraga, MD More, CM Oliveira, NS Gavenski… - ACM Computing …, 2023 - dl.acm.org
Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …

Debiasing methods for fairer neural models in vision and language research: A survey

O Parraga, MD More, CM Oliveira, NS Gavenski… - arXiv preprint arXiv …, 2022 - arxiv.org
Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …

Theories of “gender” in nlp bias research

H Devinney, J Björklund, H Björklund - … of the 2022 ACM conference on …, 2022 - dl.acm.org
The rise of concern around Natural Language Processing (NLP) technologies containing
and perpetuating social biases has led to a rich and rapidly growing area of research …

Bias assessment and mitigation in llm-based code generation

D Huang, Q Bu, J Zhang, X Xie, J Chen… - arXiv preprint arXiv …, 2023 - arxiv.org
Utilizing state-of-the-art Large Language Models (LLMs), automatic code generation models
play a pivotal role in enhancing the productivity and efficiency of software development …

[PDF][PDF] A brief history of prompt: Leveraging language models

GM Muktadir - arXiv preprint arXiv:2310.04438, 2023 - researchgate.net
This paper presents a comprehensive exploration of the evolution of prompt engineering
and generation in the field of natural language processing (NLP). Starting from the early …

Target-agnostic gender-aware contrastive learning for mitigating bias in multilingual machine translation

M Lee, H Koh, K Lee, D Zhang, M Kim… - arXiv preprint arXiv …, 2023 - arxiv.org
Gender bias is a significant issue in machine translation, leading to ongoing research efforts
in developing bias mitigation techniques. However, most works focus on debiasing bilingual …

How To Build Competitive Multi-gender Speech Translation Models For Controlling Speaker Gender Translation

M Gaido, D Fucci, M Negri, L Bentivogli - arXiv preprint arXiv:2310.15114, 2023 - arxiv.org
When translating from notional gender languages (eg, English) into grammatical gender
languages (eg, Italian), the generated translation requires explicit gender assignments for …

[PDF][PDF] A Brief History of Prompt: Leveraging Language Models.(Through Advanced Prompting)

GM Muktadir - arXiv e-prints, 2023 - researchgate.net
This paper presents a comprehensive exploration of the evolution of prompt engineering
and generation in the field of natural language processing (NLP). Starting from the early …

On Subjectivity, Bias and Fairness in Language Model Learning

Y Gaci - 2023 - theses.hal.science
With the staggering growth of language models in the last few years, language technology is
rapidly taking over some of the most influential procedures in modern society such as …