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This work presents FleXray, a generalist model for anatomical segmentation across the entire body in clinical X-rays, and builds a scalable, physics-based generative X-ray data engine that makes X-rays directly amenable to quantitative analysis.
Large language models (LLMs) are increasingly used for consequential decisions, making their explanations an important tool for auditing model behavior. Unfortunately, these explanations can be unfaithful, failing to reflect the actual reasoning underlying the model's decisions. We consider a setting in which an LLM pr...
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