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Measuring and Addressing Indexical Bias in Information Retrieval

Measuring and Addressing Indexical Bias in Information Retrieval

Annual Meeting of the Association for Computational Linguistics (ACL), 2024
6 June 2024
Caleb Ziems
William B. Held
Jane Dwivedi-Yu
Diyi Yang
ArXiv (abs)PDFHTML

Papers citing "Measuring and Addressing Indexical Bias in Information Retrieval"

5 / 5 papers shown
Title
Bias Injection Attacks on RAG Databases and Sanitization Defenses
Bias Injection Attacks on RAG Databases and Sanitization Defenses
Hao Wu
Prateek Saxena
AAMLSILM
304
0
0
30 Nov 2025
BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models
BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models
Thierry Blankenstein
Jialin Yu
Ruoyao Xiao
Vassilis Plachouras
Sunando Sengupta
Philip Torr
Y. Gal
Alasdair Paren
Adel Bibi
100
1
0
30 Sep 2025
Linguistic Blind Spots of Large Language Models
Linguistic Blind Spots of Large Language Models
Jiali Cheng
Hadi Amiri
327
1
0
25 Mar 2025
EqualizeIR: Mitigating Linguistic Biases in Retrieval Models
EqualizeIR: Mitigating Linguistic Biases in Retrieval ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Jiali Cheng
Hadi Amiri
340
3
0
22 Mar 2025
Research on Superalignment Should Advance Now with Parallel Optimization of Competence and Conformity
HyunJin Kim
Xiaoyuan Yi
Jing Yao
Muhua Huang
Jinyeong Bak
James Evans
Xing Xie
283
0
0
08 Mar 2025
1