11results about How to "Improve audit accuracy" patented technology

The invention discloses an audit domain knowledge graph ontology framework construction method based on a large language model, which comprises the following steps: collecting audit domain related data, and preprocessing the collected data; pre-training the large language model by using the preprocessed audit field related data; based on an existing general entity extraction and relation extraction data set, performing fine adjustment on the pre-trained large language model; performing knowledge extraction on the audit field text data preprocessed in the first step by using a large language model to obtain a knowledge extraction result of the audit field; performing standardization processing on a knowledge extraction result; and based on the knowledge extraction result after standardization processing, constructing a knowledge graph ontology framework in the audit field. According to the method, the knowledge of the auditing field can be automatically extracted, summarized and sorted, and a set of complete auditing field knowledge graph ontology framework is formed.

The invention discloses a personnel archive auditing method and system based on a large model. The method comprises the following steps: performing data identification and error correction on an original archive to obtain preliminary identification data; and auditing the archive data by using the auditing model to obtain an auditing result. According to the method, the auditing model is constructed for the personnel archive data, and specific model optimization is performed on the model, so that the accuracy and practicability of an intelligent auditing function are improved, and manpower is liberated.

The invention provides a large model content generation auditing method and system based on man-machine collaboration, and relates to the technical field of large models, and the method comprises the steps: deconstructing the generation process data of to-be-audited content, constructing a content risk propagation map, mapping a multi-level auditing strategy library, and recognizing an uncertainty region needing manual intervention. And obtaining manual auditing judgment and correction operation, forming auditing knowledge precipitation and perfecting an auditing strategy library. According to the method, the content risk source can be accurately positioned, the auditing efficiency is improved, a closed-loop optimized man-machine collaborative auditing mechanism is formed, the misjudgment rate is effectively reduced, and the large model content security is improved.

The invention discloses an abnormal data display method and device, equipment, a medium and a product. The method comprises the following steps: acquiring a plurality of power grid data tables; based on a plurality of splicing rules, splicing part of the power grid data tables in the plurality of power grid data tables to obtain a plurality of target tables; according to the exception detection rule corresponding to each target table, extracting exception data in each target table; generating an abnormal data display interface based on the abnormal data in each target table; the abnormal data display interface is displayed in the first area in the main interface, and the identification information of the abnormal data display interface is added to the menu list of the main interface, through the technical scheme, the abnormal data can be displayed, an inspector can directly check the abnormal data, and the inspection efficiency is improved. The checking time of inspectors is greatly shortened, and the inspection accuracy is improved.

The invention discloses a multi-agent platform insurance excess dose recognition system and input device, and the system comprises an excess dose recognition system which comprises a user management module, an information input module, a system analysis module, a system maintenance and updating module, and a report generation module. The user management module creates personal archives of users for clients, collects age, gender, weight, height and health conditions, and facilitates subsequent systematic comparison. The system comprises a user management module, an information input module, a system analysis module, a system maintenance and update module and a report generation module, multiple agents of the system work cooperatively, and rapid auditing of medicine excess amount recognition can be achieved, so that the working efficiency and the working quality are improved.

The invention discloses a data set copyright auditing method and device for a video recognition system. The method comprises the steps of training an evaluation model based on an original video data set, and obtaining an output probability of an original video based on the evaluation model; thirdly, slightly modifying the original video data set to obtain a modified data set, and inputting the modified data set into the evaluation model to query to obtain an output probability of a modified video; then, a specified number of samples are selected by comparing the difference value of the two output probabilities, and then a published data set and a non-published data set are obtained; and finally, through comparing behavior differences of the suspicion model on the published data set and the unpublished data set, realizing copyright auditing of the video identification data set.

The application provides a content review model training method and device, equipment, a storage medium and a computer program product; the method comprises the following steps: predicting compliance of at least one piece of content to be reviewed by a content review model to obtain a predicted review result of each piece of content to be reviewed; for each piece of content to be reviewed, determining a predicted difficulty score of the content to be reviewed based on the predicted review result; from at least one piece of content to be reviewed, a target review content is selected whose predicted difficulty score meets a difficulty score condition; the content review model is trained by taking the target review content as a sample and taking the actual review result of the target review content as a sample label of the sample, so as to update the content review model; by the application, the training cost of the content review model can be reduced, and the training speed and content review accuracy of the content review model can be improved.

The invention discloses a merchant inspection information processing method and device, a storage medium and electronic equipment, and relates to the field of financial science and technology, and the method comprises the steps: obtaining merchant inspection information which at least comprises an external environment image, an internal environment image and internal voice information of a merchant; predicting the type of the merchant according to the feature information in the external environment image to obtain a first type; predicting the type of the merchant according to the in-store environment image and the in-store voice information to obtain a second type; under the condition that the predicted first category is the same as the predicted second category, determining that the target category of the merchant is the first category; under the condition that the predicted first category is different from the predicted second category, determining a target category of the merchant from the first category and the second category according to the transaction flow information of the merchant; and submitting the determined target category of the merchant to an auditing system. The technical problem of low auditing efficiency caused by manual auditing of merchant inspection information in the prior art is solved.

The invention discloses an airborne media data auditing method and system based on a deep learning model, and a medium. Relates to the technical field of media identification. On the basis of the existing media auditing technology, the method and system architecture are improved, and a container model comprising a plurality of trained concerned container models is set; sequentially inputting the preprocessed airborne media data into each concerned container model for comparison and identification; sorting and outputting an identification result; according to the scheme, deep learning model deployment and a media recognition mechanism are applied to the field of civil aviation airborne media, the civil aviation airborne media auditing accuracy is improved, meanwhile, multiple deep learning framework models can be flexibly deployed in the same server according to the hardware resource condition by using the container technology, the hardware cost is saved, and the verification efficiency is improved. And the engineering deployment convenience is improved.

The invention discloses a method for constructing an audit portrait based on digitization, which belongs to the technical field of audit management, and is characterized by comprising the following steps: S1, constructing an audit daily service; s2, constructing an audit field tool module; s3, establishing an audit rectification database; s4, importing a work manuscript, an auditing report, an auditing investigation scheme, an auditing implementation scheme and a pre-auditing investigation report in previous auditing work into an auditing rectification database; s5, an audit portrait of the audit object is completed through an audit data analysis module; and S6, sending the auditing historical data to an auditing product output module, completing auditing qualitative retrieval, auditing processing retrieval and auditing evaluation retrieval in an auditing manuscript and auditing report compilation process of auditing personnel, and providing similar problem, similar analysis and similar auditing object evaluation reference. The auditing data is effectively analyzed, so that the auditing accuracy can be effectively improved.