Aylin Caliskan
15 papers · 2013–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (32)
🧬
Topic Evolution
🗃️
Keyword Collector
(79)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(10)
Core AI
(10)
Application Areas
(9)
Natural Language Processing
(6)
Deep Learning
(5)
Models
(4)
Resources & Methods
(4)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Core Methods
(2)
Understanding
(2)
Interdisciplinary
(1)
Speech & Audio
(1)
Keywords
social bia
(5)
vision-language model
(5)
bias detection
(3)
gender bia
(3)
language model
(3)
bias mitigation
(2)
racial bia
(2)
pre-trained model
(2)
semantic analysis
(2)
intrinsic evaluation
(2)
speech processing
(1)
text-to-image generation
(1)
semantic representation
(1)
instruction tuning
(1)
multilingual nlp
(1)
zero-shot learning
(1)
text representation
(1)
visual question answering
(1)
generative model
(1)
multimodal learning
(1)
Papers
Identifying Features Associated with Bias Against 93 Stigmatized Groups in Language Models and Guardrail Model Safety Mitigation
AAAI 2026
VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models
ACL 2026
Biases Propagate in Encoder-based Vision-Language Models: A Systematic Analysis From Intrinsic Measures to Zero-shot Retrieval Outcomes
ACL 2025
Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders
NAACL 2025
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models
EMNLP 2024
Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning
NAACL 2024
Label-Efficient Group Robustness via Out-of-Distribution Concept Curation
CVPR 2024
Artificial Intelligence, Bias, and Ethics
IJCAI 2023
‘Person’ == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion
EMNLP 2023
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition
EMNLP 2023
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations
ACL 2022
VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models
AAAI 2022
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
EMNLP 2021
ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries
EMNLP 2021
From Language to Family and Back: Native Language and Language Family Identification from English Text
NAACL 2013