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cs.CL2026
Measuring What VLMs Don't Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation
Aditya Parikh, Aasa Feragen, Sneha Das +1
Reliable deployment of Vision-Language Models (VLMs) in radiology requires validation metrics that go beyond surface-level text similarity to ensure clinical fidelity and demograph…
cs.CL2024
Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria
Sara Sterlie, Nina Weng, Aasa Feragen
Generative AI, such as large language models, has undergone rapid development within recent years. As these models become increasingly available to the public, concerns arise about…