Vision-Language Models display a strong gender bias
Fuente:
arXiv
Saved in:
| Main Authors: | Konavoor, Aiswarya, Dandekar, Raj Abhijit, Dandekar, Rajat, Panat, Sreedath |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NanoVLMs: How small can we go and still make coherent Vision Language Models?
by: Agarwalla, Mukund, et al.
Published: (2025)
by: Agarwalla, Mukund, et al.
Published: (2025)
CBEval: A framework for evaluating and interpreting cognitive biases in LLMs
by: Shaikh, Ammar, et al.
Published: (2024)
by: Shaikh, Ammar, et al.
Published: (2024)
Latent Multi-Head Attention for Small Language Models
by: Mehta, Sushant, et al.
Published: (2025)
by: Mehta, Sushant, et al.
Published: (2025)
Beyond Passive Viewing: A Pilot Study of a Hybrid Learning Platform Augmenting Video Lectures with Conversational AI
by: Abraar, Mohammed, et al.
Published: (2026)
by: Abraar, Mohammed, et al.
Published: (2026)
Modeling chaotic Lorenz ODE System using Scientific Machine Learning
by: Kashyap, Sameera S, et al.
Published: (2024)
by: Kashyap, Sameera S, et al.
Published: (2024)
Decoders Laugh as Loud as Encoders
by: Borodach, Eli, et al.
Published: (2025)
by: Borodach, Eli, et al.
Published: (2025)
Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models
by: Mehta, Sushant, et al.
Published: (2025)
by: Mehta, Sushant, et al.
Published: (2025)
Scientific machine learning in ecological systems: A study on the predator-prey dynamics
by: Devgupta, Ranabir, et al.
Published: (2024)
by: Devgupta, Ranabir, et al.
Published: (2024)
Simulating Misinformation Propagation in Social Networks using Large Language Models
by: Maurya, Raj Gaurav, et al.
Published: (2025)
by: Maurya, Raj Gaurav, et al.
Published: (2025)
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation
by: Martinez, Raymundo Vazquez, et al.
Published: (2024)
by: Martinez, Raymundo Vazquez, et al.
Published: (2024)
Evaluating Cultural Awareness of LLMs for Yoruba, Malayalam, and English
by: Dawson, Fiifi, et al.
Published: (2024)
by: Dawson, Fiifi, et al.
Published: (2024)
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
by: Murgai, Sharv, et al.
Published: (2024)
by: Murgai, Sharv, et al.
Published: (2024)
HULLMI: Human vs LLM identification with explainability
by: Joshi, Prathamesh Dinesh, et al.
Published: (2024)
by: Joshi, Prathamesh Dinesh, et al.
Published: (2024)
Forecasting N-Body Dynamics: A Comparative Study of Neural Ordinary Differential Equations and Universal Differential Equations
by: S, Suriya R, et al.
Published: (2025)
by: S, Suriya R, et al.
Published: (2025)
EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations
by: Salunke, Miheer, et al.
Published: (2025)
by: Salunke, Miheer, et al.
Published: (2025)
Adaptive tumor growth forecasting via neural & universal ODEs
by: Subramanian, Kavya, et al.
Published: (2025)
by: Subramanian, Kavya, et al.
Published: (2025)
BULL-ODE: Bullwhip Learning with Neural ODEs and Universal Differential Equations under Stochastic Demand
by: Naik, Nachiket N., et al.
Published: (2025)
by: Naik, Nachiket N., et al.
Published: (2025)
A study of Universal ODE approaches to predicting soil organic carbon
by: V. V, Satyanarayana Raju G., et al.
Published: (2025)
by: V. V, Satyanarayana Raju G., et al.
Published: (2025)
Three methods, one problem: Classical and AI approaches to no-three-in-line
by: Ramanathan, Pranav, et al.
Published: (2025)
by: Ramanathan, Pranav, et al.
Published: (2025)
Muon: Training and Trade-offs with Latent Attention and MoE
by: Mehta, Sushant, et al.
Published: (2025)
by: Mehta, Sushant, et al.
Published: (2025)
Regional Tiny Stories: Using Small Models to Compare Language Learning and Tokenizer Performance
by: Patil, Nirvan, et al.
Published: (2025)
by: Patil, Nirvan, et al.
Published: (2025)
Physics-Informed Neural ODEs with Scale-Aware Residuals for Learning Stiff Biophysical Dynamics
by: Kainth, Kamalpreet Singh, et al.
Published: (2025)
by: Kainth, Kamalpreet Singh, et al.
Published: (2025)
Understanding Malware Propagation Dynamics through Scientific Machine Learning
by: Pappu, Karthik, et al.
Published: (2025)
by: Pappu, Karthik, et al.
Published: (2025)
Physical Informed Neural Networks for modeling ocean pollutant
by: Battina, Karishma, et al.
Published: (2025)
by: Battina, Karishma, et al.
Published: (2025)
When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data Visualizations
by: Lalai, Harsh Nishant, et al.
Published: (2026)
by: Lalai, Harsh Nishant, et al.
Published: (2026)
Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models
by: Guo, Grace, et al.
Published: (2024)
by: Guo, Grace, et al.
Published: (2024)
InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding
by: Kumar, Ashutosh, et al.
Published: (2026)
by: Kumar, Ashutosh, et al.
Published: (2026)
FFF: Fixing Flawed Foundations in contrastive pre-training results in very strong Vision-Language models
by: Bulat, Adrian, et al.
Published: (2024)
by: Bulat, Adrian, et al.
Published: (2024)
VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models
by: Zhang, Jianke, et al.
Published: (2026)
by: Zhang, Jianke, et al.
Published: (2026)
PRISM: A Multi-View Multi-Capability Retail Video Dataset for Embodied Vision-Language Models
by: Rouhi, Amirreza, et al.
Published: (2026)
by: Rouhi, Amirreza, et al.
Published: (2026)
Object-Centric Vision Token Pruning for Vision Language Models
by: Li, Guangyuan, et al.
Published: (2025)
by: Li, Guangyuan, et al.
Published: (2025)
When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models
by: Saini, Harshvardhan, et al.
Published: (2026)
by: Saini, Harshvardhan, et al.
Published: (2026)
Language-Guided Invariance Probing of Vision-Language Models
by: Lee, Jae Joong
Published: (2025)
by: Lee, Jae Joong
Published: (2025)
Safety Alignment for Vision Language Models
by: Liu, Zhendong, et al.
Published: (2024)
by: Liu, Zhendong, et al.
Published: (2024)
Egocentric Bias in Vision-Language Models
by: Wang, Maijunxian, et al.
Published: (2026)
by: Wang, Maijunxian, et al.
Published: (2026)
What's in the Image? A Deep-Dive into the Vision of Vision Language Models
by: Kaduri, Omri, et al.
Published: (2024)
by: Kaduri, Omri, et al.
Published: (2024)
Asynchronous Perception Machine For Efficient Test-Time-Training
by: Modi, Rajat, et al.
Published: (2024)
by: Modi, Rajat, et al.
Published: (2024)
Seeing the Abstract: Translating the Abstract Language for Vision Language Models
by: Talon, Davide, et al.
Published: (2025)
by: Talon, Davide, et al.
Published: (2025)
Understanding Counting Mechanisms in Large Language and Vision-Language Models
by: Hasani, Hosein, et al.
Published: (2025)
by: Hasani, Hosein, et al.
Published: (2025)
Process Integrated Computer Vision for Real-Time Failure Prediction in Steel Rolling Mill
by: Kurrey, Vaibhav, et al.
Published: (2025)
by: Kurrey, Vaibhav, et al.
Published: (2025)
Similar Items
-
NanoVLMs: How small can we go and still make coherent Vision Language Models?
by: Agarwalla, Mukund, et al.
Published: (2025) -
CBEval: A framework for evaluating and interpreting cognitive biases in LLMs
by: Shaikh, Ammar, et al.
Published: (2024) -
Latent Multi-Head Attention for Small Language Models
by: Mehta, Sushant, et al.
Published: (2025) -
Beyond Passive Viewing: A Pilot Study of a Hybrid Learning Platform Augmenting Video Lectures with Conversational AI
by: Abraar, Mohammed, et al.
Published: (2026) -
Modeling chaotic Lorenz ODE System using Scientific Machine Learning
by: Kashyap, Sameera S, et al.
Published: (2024)