From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship
cs.CL, cs.AI, cs.CY
Submitted: 2025-06-29
Updated: 2026-10-13
Code: https://github.com/Savannah2000/Genres
Terminology
Sources
- Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
- GPT-4 Technical Report
- Qwen2.5-VL Technical Report
- More Women, Same Stereotypes: Unpacking the Gender Bias Paradox in Large Language Models
- Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
- PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
- Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images
- Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
- A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
- Uncovering Bias in Large Vision-Language Models with Counterfactuals
- VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models
- GPT-4o System Card
- Gender Bias in LLM-generated Interview Responses
- Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts
- Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models
- BBQ-V: Benchmarking Visual Stereotype Bias in Large Multimodal Models
- BBQ: A Hand-Built Bias Benchmark for Question Answering
- SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
- Gender Biases in Automatic Evaluation Metrics for Image Captioning
- BiasDora: Exploring Hidden Biased Associations in Vision-Language Models
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