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Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation., , , , , , , , , and 13 other author(s). CoRR, (2023)A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models., , , , , , , , , and 20 other author(s). CoRR, (2024)Federated Reconstruction: Partially Local Federated Learning., , , , , and . NeurIPS, page 11220-11232. (2021)Learning Multilingual Word Embeddings Using Image-Text Data., , and . CoRR, (2019)Plex: Towards Reliability using Pretrained Large Model Extensions., , , , , , , , , and 16 other author(s). CoRR, (2022)Federated Variational Inference: Towards Improved Personalization and Generalization., , , , , and . AAAI Spring Symposia, page 323-327. AAAI Press, (2024)Augmentations vs Algorithms: What Works in Self-Supervised Learning., , , , , , , , , and 1 other author(s). CoRR, (2024)Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout., , , , , and . CoRR, (2023)What Do We Mean by Generalization in Federated Learning?, , , and . ICLR, OpenReview.net, (2022)