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Do Neural Ranking Models Intensify Gender Bias?
v1v2v3 (latest)

Do Neural Ranking Models Intensify Gender Bias?

1 May 2020
Navid Rekabsaz
Markus Schedl
ArXiv (abs)PDFHTML

Papers citing "Do Neural Ranking Models Intensify Gender Bias?"

23 / 23 papers shown
Title
Mitigating Bias in RAG: Controlling the Embedder
Mitigating Bias in RAG: Controlling the Embedder
Taeyoun Kim
Jacob Mitchell Springer
Aditi Raghunathan
Maarten Sap
104
2
0
24 Feb 2025
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems
Xuyang Wu
Shuowei Li
Hsin-Tai Wu
Zhiqiang Tao
Yi Fang
252
14
0
29 Sep 2024
Deconstructing The Ethics of Large Language Models from Long-standing
  Issues to New-emerging Dilemmas
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas
Chengyuan Deng
Yiqun Duan
Xin Jin
Heng Chang
Yijun Tian
...
Kuofeng Gao
Sihong He
Jun Zhuang
Lu Cheng
Haohan Wang
AILaw
90
24
0
08 Jun 2024
Measuring and Addressing Indexical Bias in Information Retrieval
Measuring and Addressing Indexical Bias in Information Retrieval
Caleb Ziems
William B. Held
Jane Dwivedi-Yu
Diyi Yang
64
3
0
06 Jun 2024
Revisiting The Classics: A Study on Identifying and Rectifying Gender
  Stereotypes in Rhymes and Poems
Revisiting The Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poems
Aditya Narayan Sankaran
Vigneshwaran Shankaran
Sampath Lonka
Rajesh Sharma
60
0
0
18 Mar 2024
Measuring Bias in a Ranked List using Term-based Representations
Measuring Bias in a Ranked List using Term-based Representations
Amin Abolghasemi
Leif Azzopardi
Arian Askari
Maarten de Rijke
Suzan Verberne
82
7
0
09 Mar 2024
MultiContrievers: Analysis of Dense Retrieval Representations
MultiContrievers: Analysis of Dense Retrieval Representations
Seraphina Goldfarb-Tarrant
Pedro Rodriguez
Jane Dwivedi-Yu
Patrick Lewis
123
1
0
24 Feb 2024
Effective Controllable Bias Mitigation for Classification and Retrieval
  using Gate Adapters
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
Shahed Masoudian
Cornelia Volaucnik
Markus Schedl
Navid Rekabsaz
73
6
0
29 Jan 2024
EALM: Introducing Multidimensional Ethical Alignment in Conversational
  Information Retrieval
EALM: Introducing Multidimensional Ethical Alignment in Conversational Information Retrieval
Yiyao Yu
Junjie Wang
Yuxiang Zhang
Lin Zhang
Yujiu Yang
Tetsuya Sakai
74
1
0
02 Oct 2023
Bias and Fairness in Large Language Models: A Survey
Bias and Fairness in Large Language Models: A Survey
Isabel O. Gallegos
Ryan Rossi
Joe Barrow
Md Mehrab Tanjim
Sungchul Kim
Franck Dernoncourt
Tong Yu
Ruiyi Zhang
Nesreen Ahmed
AILaw
140
609
0
02 Sep 2023
Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian
  Response Entry Classification
Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification
Nicolò Tamagnone
Selim Fekih
Ximena Contla
Nayid Orozco
Navid Rekabsaz
30
4
0
26 May 2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
Deepak Kumar
Oleg Lesota
George Zerveas
Daniel Cohen
Carsten Eickhoff
Markus Schedl
Navid Rekabsaz
MoMeKELM
75
28
0
13 Feb 2023
HumSet: Dataset of Multilingual Information Extraction and
  Classification for Humanitarian Crisis Response
HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crisis Response
Selim Fekih
Nicolò Tamagnone
Benjamin Minixhofer
R. Shrestha
Ximena Contla
Ewan Oglethorpe
Navid Rekabsaz
48
6
0
10 Oct 2022
Debiasing Gender Bias in Information Retrieval Models
Debiasing Gender Bias in Information Retrieval Models
Dhanasekar Sundararaman
Vivek Subramanian
47
2
0
02 Aug 2022
Unlearning Protected User Attributes in Recommendations with Adversarial
  Training
Unlearning Protected User Attributes in Recommendations with Adversarial Training
Christian Ganhor
D. Penz
Navid Rekabsaz
Oleg Lesota
Markus Schedl
FaMLMU
53
42
0
09 Jun 2022
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks
Lukas Hauzenberger
Shahed Masoudian
Deepak Kumar
Markus Schedl
Navid Rekabsaz
82
18
0
30 May 2022
Debiasing Neural Retrieval via In-batch Balancing Regularization
Debiasing Neural Retrieval via In-batch Balancing Regularization
Yuantong Li
Xiaokai Wei
Zijian Wang
Shen Wang
Parminder Bhatia
Xiaofei Ma
Andrew O. Arnold
49
4
0
18 May 2022
Artificial Concepts of Artificial Intelligence: Institutional Compliance
  and Resistance in AI Startups
Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups
Amy A. Winecoff
E. A. Watkins
93
18
0
02 Mar 2022
CODER: An efficient framework for improving retrieval through COntextual
  Document Embedding Reranking
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking
George Zerveas
Navid Rekabsaz
Daniel Cohen
Carsten Eickhoff
84
8
0
16 Dec 2021
WECHSEL: Effective initialization of subword embeddings for
  cross-lingual transfer of monolingual language models
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models
Benjamin Minixhofer
Fabian Paischer
Navid Rekabsaz
109
85
0
13 Dec 2021
Societal Biases in Retrieved Contents: Measurement Framework and
  Adversarial Mitigation for BERT Rankers
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers
Navid Rekabsaz
Simone Kopeinik
Markus Schedl
83
63
0
28 Apr 2021
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
Sebastian Hofstatter
Aldo Lipani
Sophia Althammer
Markus Zlabinger
Allan Hanbury
128
17
0
18 Jan 2021
Investigating Societal Biases in a Poetry Composition System
Investigating Societal Biases in a Poetry Composition System
Emily Sheng
David C. Uthus
83
53
0
05 Nov 2020
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