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NBIAS: A Natural Language Processing Framework for Bias Identification
  in Text

NBIAS: A Natural Language Processing Framework for Bias Identification in Text

3 August 2023
Shaina Razaa
Muskan Garg
Deepak John Reji
Syed Raza Bashir
Chen Ding
ArXivPDFHTML

Papers citing "NBIAS: A Natural Language Processing Framework for Bias Identification in Text"

19 / 19 papers shown
Title
FairSense-AI: Responsible AI Meets Sustainability
Shaina Raza
Mukund Sayeeganesh Chettiar
Matin Yousefabadi
Tahniat Khan
Marcelo Lotif
40
0
0
04 Mar 2025
VilBias: A Study of Bias Detection through Linguistic and Visual Cues , presenting Annotation Strategies, Evaluation, and Key Challenges
VilBias: A Study of Bias Detection through Linguistic and Visual Cues , presenting Annotation Strategies, Evaluation, and Key Challenges
Shaina Raza
Caesar Saleh
Emrul Hasan
Franklin Ogidi
Maximus Powers
Veronica Chatrath
Marcelo Lotif
Roya Javadi
Anam Zahid
Vahid Reza Khazaie
74
1
0
20 Feb 2025
Desert Camels and Oil Sheikhs: Arab-Centric Red Teaming of Frontier LLMs
Desert Camels and Oil Sheikhs: Arab-Centric Red Teaming of Frontier LLMs
Muhammed Saeed
Elgizouli Mohamed
Mukhtar Mohamed
Shaina Raza
Muhammad Abdul-Mageed
Shady Shehata
35
0
0
31 Oct 2024
The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic
  Behaviors in Human-AI Relationships
The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships
Renwen Zhang
Han Li
Han Meng
Jinyuan Zhan
Hongyuan Gan
Yi-Chieh Lee
14
0
0
26 Oct 2024
Towards Fairer Health Recommendations: finding informative unbiased
  samples via Word Sense Disambiguation
Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Gavin Butts
Pegah Emdad
Jethro Lee
Shannon Song
Chiman Salavati
Willmar Sosa Diaz
Shiri Dori-Hacohen
Fabricio Murai
FaML
18
0
0
11 Sep 2024
REFINE-LM: Mitigating Language Model Stereotypes via Reinforcement
  Learning
REFINE-LM: Mitigating Language Model Stereotypes via Reinforcement Learning
Rameez Qureshi
Naim Es-Sebbani
Luis Galárraga
Yvette Graham
Miguel Couceiro
Zied Bouraoui
21
1
0
18 Aug 2024
MBIAS: Mitigating Bias in Large Language Models While Retaining Context
MBIAS: Mitigating Bias in Large Language Models While Retaining Context
Shaina Raza
Ananya Raval
Veronica Chatrath
34
6
0
18 May 2024
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language
  Technology
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology
Rishav Hada
Safiya Husain
Varun Gumma
Harshita Diddee
Aditya Yadavalli
...
Nidhi Kulkarni
U. Gadiraju
Aditya Vashistha
Vivek Seshadri
Kalika Bali
43
5
0
10 May 2024
FakeWatch: A Framework for Detecting Fake News to Ensure Credible
  Elections
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
Shaina Raza
Tahniat Khan
Veronica Chatrath
Drai Paulen-Patterson
Mizanur Rahman
Oluwanifemi Bamgbose
28
0
0
14 Mar 2024
FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for
  Large Language Models' Training?
FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?
Shaina Raza
Shardul Ghuge
Chen Ding
Elham Dolatabadi
D. Pandya
SyDa
15
9
0
19 Jan 2024
FakeWatch ElectionShield: A Benchmarking Framework to Detect Fake News
  for Credible US Elections
FakeWatch ElectionShield: A Benchmarking Framework to Detect Fake News for Credible US Elections
Tahniat Khan
Mizanur Rahman
Veronica Chatrath
Oluwanifemi Bamgbose
Shaina Raza
11
1
0
27 Nov 2023
She had Cobalt Blue Eyes: Prompt Testing to Create Aligned and
  Sustainable Language Models
She had Cobalt Blue Eyes: Prompt Testing to Create Aligned and Sustainable Language Models
Veronica Chatrath
Oluwanifemi Bamgbose
Shaina Raza
ALM
ELM
11
0
0
20 Oct 2023
Unlocking Bias Detection: Leveraging Transformer-Based Models for
  Content Analysis
Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis
Shaina Raza
Oluwanifemi Bamgbose
Veronica Chatrath
Shardul Ghuge
Yan Sidyakin
Abdullah Y. Muaad
11
11
0
30 Sep 2023
On the Origins of Bias in NLP through the Lens of the Jim Code
On the Origins of Bias in NLP through the Lens of the Jim Code
Fatma Elsafoury
Gavin Abercrombie
23
4
0
16 May 2023
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text
  Classification
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification
E. Tokpo
Pieter Delobelle
Bettina Berendt
T. Calders
33
7
0
30 Jan 2023
Blacks is to Anger as Whites is to Joy? Understanding Latent Affective
  Bias in Large Pre-trained Neural Language Models
Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models
Anoop Kadan
P Deepak
Sahely Bhadra
Manjary P.Gangan
L. LajishV.
19
2
0
21 Jan 2023
Neural Media Bias Detection Using Distant Supervision With BABE -- Bias
  Annotations By Experts
Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By Experts
Timo Spinde
Manuel Plank
Jan-David Krieger
Terry Ruas
Bela Gipp
Akiko Aizawa
27
67
0
29 Sep 2022
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in
  NLP Systems through an Intersectional Lens
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens
Saad Hassan
Matt Huenerfauth
Cecilia Ovesdotter Alm
36
38
0
01 Oct 2021
Marked Attribute Bias in Natural Language Inference
Marked Attribute Bias in Natural Language Inference
Hillary Dawkins
42
8
0
28 Sep 2021
1