Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers

28 April 2021

Papers citing "Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers"

29 / 29 papers shown

Title
Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge Retrieval Karanbir Singh William Ngu 34 0 0 27 Mar 2025
Statistically Testing Training Data for Unwanted Error Patterns using Rule-Oriented Regression Stefan Rass Martin Dallinger 49 0 0 24 Mar 2025
Perception of Visual Content: Differences Between Humans and Foundation Models Nardiena A. Pratama Shaoyang Fan Gianluca Demartini VLM 97 0 0 28 Nov 2024
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization Shahed Masoudian Markus Frohmann Navid Rekabsaz Markus Schedl 23 0 0 29 Sep 2024
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems Xuyang Wu Shuowei Li Hsin-Tai Wu Zhiqiang Tao Yi Fang 117 8 0 29 Sep 2024
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 40 16 0 08 Jun 2024
Measuring and Addressing Indexical Bias in Information Retrieval Caleb Ziems William B. Held Jane Dwivedi-Yu Diyi Yang 23 3 0 06 Jun 2024
Coarse-Tuning for Ad-hoc Document Retrieval Using Pre-trained Language Models Atsushi Keyaki Ribeka Keyaki 28 0 0 25 Mar 2024
Measuring Bias in a Ranked List using Term-based Representations Amin Abolghasemi Leif Azzopardi Arian Askari Maarten de Rijke Suzan Verberne 42 6 0 09 Mar 2024
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters Shahed Masoudian Cornelia Volaucnik Markus Schedl Navid Rekabsaz 16 5 0 29 Jan 2024
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies Vithya Yogarajan Gillian Dobbie Te Taka Keegan R. Neuwirth ALM 43 11 0 03 Dec 2023
Bias and Fairness in Large Language Models: A Survey Isabel O. Gallegos Ryan A. Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 19 486 0 02 Sep 2023
A Multidimensional Analysis of Social Biases in Vision Transformers Jannik Brinkmann Paul Swoboda Christian Bartelt 20 6 0 03 Aug 2023
Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework Simiao Zhang Jitao Bai Menghong Guan Yihao Huang Yueling Zhang Jun Sun G. Pu FaML 18 1 0 21 Jul 2023
Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification Nicolò Tamagnone Selim Fekih Ximena Contla Nayid Orozco Navid Rekabsaz 9 4 0 26 May 2023
Masked Audio Text Encoders are Effective Multi-Modal Rescorers Jason (Jinglun) Cai Monica Sunkara Xilai Li Anshu Bhatia Xiao Pan S. Bodapati 26 3 0 11 May 2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion Deepak Kumar Oleg Lesota George Zerveas Daniel Cohen Carsten Eickhoff Markus Schedl Navid Rekabsaz MoMe KELM 13 24 0 13 Feb 2023
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey Otávio Parraga Martin D. Móre C. M. Oliveira Nathan Gavenski L. S. Kupssinskü Adilson Medronha L. V. Moura Gabriel S. Simões Rodrigo C. Barros 42 11 0 10 Nov 2022
Metricizing the Euclidean Space towards Desired Distance Relations in Point Clouds Stefan Rass Sandra Konig Shahzad Ahmad Maksim Goman 27 11 0 07 Nov 2022
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 11 6 0 10 Oct 2022
Unlearning Protected User Attributes in Recommendations with Adversarial Training Christian Ganhor D. Penz Navid Rekabsaz Oleg Lesota Markus Schedl FaML MU 14 40 0 09 Jun 2022
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks Lukas Hauzenberger Shahed Masoudian Deepak Kumar Markus Schedl Navid Rekabsaz 20 17 0 30 May 2022
Debiasing Neural Retrieval via In-batch Balancing Regularization Yuantong Li Xiaokai Wei Zijian Wang Shen Wang Parminder Bhatia Xiaofei Ma Andrew O. Arnold 28 5 0 18 May 2022
Joint Multisided Exposure Fairness for Recommendation Haolun Wu Bhaskar Mitra Chen-li Ma Fernando Diaz Xue Liu FaML 11 64 0 29 Apr 2022
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking George Zerveas Navid Rekabsaz Daniel Cohen Carsten Eickhoff 28 8 0 16 Dec 2021
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models Benjamin Minixhofer Fabian Paischer Navid Rekabsaz 22 73 0 13 Dec 2021
Overview of the TREC 2019 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees 180 465 0 17 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018