Future Querying: Can LLMs Serve as Implicit Medical World Models?
This work introduces future querying, a paradigm that probes whether large language models can function as implicit medical world models by evaluating their ability to answer time-indexed clinical queries about a patient's future, and shows that small, locally fine-tuned open-weight models can match or approach larger proprietary systems, making the framework suitable for privacy-preserving, on-premise deployment.
Siri Willems, James Butterworth, L. Goetschalckx et al.
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