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cs.CV2024
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
Haider Al-Tahan, Quentin Garrido, Randall Balestriero +3
Significant research efforts have been made to scale and improve vision-language model (VLM) training approaches. Yet, with an ever-growing number of benchmarks, researchers are ta…
cs.CV2024
The Bias of Harmful Label Associations in Vision-Language Models
Caner Hazirbas, Alicia Sun, Yonathan Efroni +1
Despite the remarkable performance of foundation vision-language models, the shared representation space for text and vision can also encode harmful label associations detrimental…