conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Insights
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Insights
Achievements
Home
›
Keywords
›
bias amplification
bias amplification
26 papers
Explore in graph
Co-occurring keywords
gender bia
(435)
large language model
(13587)
social bia
(210)
protected attribute
(24)
dataset bia
(149)
image captioning
(731)
fairness evaluation
(118)
political bia
(57)
multi-agent system
(1819)
model collapse
(23)
Papers
Position: Biomedical NLP Demands Specialization, Not Generalization
EACL 2026
A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions
WACV 2026
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models
WACV 2026
HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation
AAAI 2026
An Empirical Study of Group Conformity in Multi-Agent Systems
ACL 2025
Bias Amplification: Large Language Models as Increasingly Biased Media
IJCNLP 2025
Bias Amplification: Large Language Models as Increasingly Biased Media
AACL 2025
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
NIPS 2024
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
NIPS 2024
The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification
NAACL 2024
Would Deep Generative Models Amplify Bias in Future Models?
CVPR 2024
“Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models
EMNLP 2024
ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment
AAAI 2024
The Bias Amplification Paradox in Text-to-Image Generation
NAACL 2024
The Rise of AI-Generated Content in Wikipedia
EMNLP 2024
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
EMNLP 2023
Men Also Do Laundry: Multi-Attribute Bias Amplification
ICML 2023
Revisiting the Importance of Amplifying Bias for Debiasing
AAAI 2023
Data Feedback Loops: Model-driven Amplification of Dataset Biases
ICML 2023
Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases
ACL 2023
What Do Compressed Multilingual Machine Translation Models Forget?
EMNLP 2022
Quantifying Societal Bias Amplification in Image Captioning
CVPR 2022
Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour
IJCNLP 2022
Directional Bias Amplification
ICML 2021
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization
ACL 2020
<
1
2
>