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University College London
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VLMs can be significantly improved by reasoning over diverse, generated text inputs, rather than relying on restrictive, predefined templates.
VLMs can now handle real-world sensor failures and data privacy constraints without catastrophic performance drops, thanks to a new plug-and-play module for incomplete multi-modal inputs.
