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, and clinical information with imaging data. Explore and implement Generative AI approaches (e.g., data augmentation, reconstruction, simulation). Investigate and apply Vision-Language models for linking
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reality can be restored and sustained in the face of increasingly polarized information environments and the widespread dissemination of misinformation. The project addresses two main research questions
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structured problem-solving Investigating advanced strategies for model adaptation, including in-domain pre-training, domain adapters, task-specific instruction tuning, and retrieval-augmented generation (RAG
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objects (e.g., fabrics) Bimanual coordination and manipulation planning Vision- and tactile-based perception and state estimation of deformable objects Simulation and reality gap bridging for deformable