Empirical analysis identifies task-interfering layers in VLMs and proposes TaLo, a test-time method to bypass them for improved performance without training.
Attribution analysis meets model editing: Advancing knowledge correction in vision language models with visedit
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Do All Individual Layers Help? An Empirical Study of Task-Interfering Layers in Vision-Language Models
Empirical analysis identifies task-interfering layers in VLMs and proposes TaLo, a test-time method to bypass them for improved performance without training.