MODELING OPERATIONAL BOUNDS OF LARGE LANGUAGE MODELS FOR THE MEDICAL DOMAIN

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United States of America

APP PUB NO 20250046434A1
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18363087

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Systems and methods for determining an uncertainty measure associated with results of a medical task performed by an LLM (large language model) are provided. One or more prompts associated with a medical task are received. At least one of the one or more prompts are encoded into a set of features using a feature encoder network of an LLM. The medical task is performed based on the set of features using a decoder network of the LLM. An uncertainty measure associated with results of the medical task is determined based on the set of features using an uncertainty quantification module of the LLM. The results of the medical task and the uncertainty measure are output.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Comaniciu, Dorin Princeton, US 415 12935
Farri, Oladimeji Upper Saddle River, US 13 1
Georgescu, Bogdan Princeton, US 203 7044

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