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2 results about "Item score" patented technology

Method for monitoring quality of long-term care insurance disability assessments based on large models

PendingCN122155850AFinanceNatural language data processingDisability assessmentNursing care
The disclosure provides a long-term care insurance disability evaluation quality monitoring method based on a large model, which comprises the following steps: performing text transcription on the audio data to be processed to obtain dialogue content text; determining first text corresponding to an evaluator user and second text corresponding to an evaluated user from the dialogue content text; analyzing the first text based on a large language model to obtain a first analysis result, wherein the first analysis result is used to indicate at least one evaluation item and a first time interval corresponding to each evaluation item; analyzing the second text based on the large language model to obtain a second analysis result, wherein the second analysis result is used to indicate at least one item evaluation score and a second time interval corresponding to each evaluation item score; and performing correlation analysis on the first analysis result and the second analysis result according to the first time interval and the second time interval to determine a disability grade judgment result of an insured person and an evaluation quality report.
Owner:PEOPLE'S INSURANCE COMPANY OF CHINA

Automated assessment of consistency with human preferences

There is described a computing device (500) for evaluating a scoring model (302), the computing device (500) for: for each of a plurality of items (204a, 204b, 204c, 204d) in a set of items (204), obtaining an item score (205a, 205b, 205c, 205d); for each item of the plurality of items (204a, 204b, 204c, 204d) in the item set (204), obtaining a score (303a, 303b, 303c, 303d) generated by a scoring model, the score (303a, 303b, 303c, 303d) generated by the scoring model being determined by a scoring model (302); associating the item score (205a, 205b, 205c, 205d) with a score (303a, 303b, 303c, 303d) generated by the scoring model; and evaluating the scoring model (302) according to the correlation (301). In this manner, the accuracy of the scoring model (302) may be evaluated based on a comparison with the item scores (205a, 205b, 205c, 205d).
Owner:HUAWEI TECH CO LTD