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the supervisors, with potential avenues including optimization aspects, parameter-efficient adaptation methods, model merging theory, multi-modal continual learning, or adaptation to open-world scenarios. PROJECT
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knowledge. The focus of the project can be defined in collaboration with the supervisor, with potential avenues including optimization aspects, parameter-efficient adaptation methods, model merging theory
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on developing new methods for color-specific conditional generation in multi-modal generative models. The candidate will work on exploiting the intrinsic knowledge about color within text-to-image (T2I) models
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. Creating introspective analysis methods to explain the decision-making process of sensorimotor AD models, increasing their trustworthiness. 4. Improving model architectures to incorporate learnable context
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on finetuning methods, and applications on the specific use case of Document Understanding. PROJECT PI & HOSTING GROUP The direct responsible for this post will be Dr Dimosthenis Karatzas and Dr Ernest Valveny