Dual-character narrative prompts reveal gender biases in six multimodal LLMs that are largely invisible in single-character evaluations, and GENRES provides a structured benchmark to measure them.
A multidimensional analysis of social biases in vision transformers
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From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship
Dual-character narrative prompts reveal gender biases in six multimodal LLMs that are largely invisible in single-character evaluations, and GENRES provides a structured benchmark to measure them.