21 results about "Report writing" patented technology

The invention belongs to the field of artificial intelligence, and discloses a knowledge enhancement and context semantic coherence report writing generation method and system based on a large model, and the system comprises a knowledge enhancement module, a personalized style question and article outline writing module, a context semantic coherence optimization module, and a text generation length limitation overcoming module. According to the method, a knowledge enhancement mechanism, personalized design, large model cue word engineering generation report outline and iteration generation report content are introduced, so that the timeliness and accuracy of the generated content are improved, the logic continuity of the context is ensured, the limitation of the text generation length is overcome, highly personalized writing support is provided, and the user experience is improved. And the quality and efficiency of report writing are obviously improved. The writing method which is powerful in function and easy to use is provided for users, diversified writing requirements are met, and the writing method particularly plays an important role in the fields of academic research, news reports, commercial reports and the like.

The invention discloses a property operation report generation method and device based on multiple agents and a related medium, and the method comprises the steps: calling an intention recognition agent to carry out intention analysis, and then calling a task planning agent to carry out path construction and scheme solving; determining an execution sequence of tasks in combination with the task planning data to obtain task processing data; calling a data collection agent to carry out data collection on the task processing data to obtain primary processing data; and calling a code calculation agent to carry out code generation and model operation on the primary processing data, calling an outline making agent to carry out outline arrangement and report generation processing, calling a report writing agent to complete report packaging, and outputting a property operation report. According to the invention, the structured analysis result obtained through calculation is subjected to outline arrangement and report generation processing, and the property operation report is packaged and output, so that manual report arrangement is not needed, the process is simplified, and the report output efficiency is improved.

The invention relates to the field of computers, and provides a report generation method and device, equipment and a storage medium. The method comprises the following steps: analyzing a target report template uploaded by using an object, and obtaining each piece of to-be-extracted data and the position of the to-be-extracted data; in response to a data extraction configuration operation triggered by the use object, configuring a data source for each piece of data to be extracted; and respectively extracting target data contents of the to-be-extracted data from the corresponding data sources, and filling the corresponding positions of the target report template with the target data contents to generate a service report. The automatic and intelligent report filling mode is adopted, so that the human input is remarkably reduced, the manual writing time is greatly saved, the high-quality, standardized and normalized business report can be quickly generated under the condition of extremely little manual intervention, and the professional report generation efficiency is greatly improved. The innovative mode effectively solves the problem of excessive manpower resource consumption in the traditional report writing process, and reduces the operation cost of enterprises.

The invention discloses an intelligent report generation system, method and device and a storage medium, and relates to the technical field of data processing, and the system comprises a main research agent which is used for multi-source data information collection and preliminary analysis; the report writing agent is used for converting the research result into a professional report; and the review agent is used for reviewing the professional report. A multi-agent collaborative architecture and a domain knowledge enhancement technology are deeply fused, a full-link quality assurance system including data credibility evaluation, multi-source cross validation and dynamic knowledge updating is established, and collaborative optimization of professional report generation in three dimensions of timeliness, economy and specialty is realized.

The invention belongs to the technical field of shipping big data application, and particularly relates to a shipping research report generation method based on multi-agent cooperation, and the method comprises the steps: enabling a multi-agent hierarchical cooperation architecture, dividing a whole agent into a plurality of sub-agents with independent functions, and dividing the sub-agents into a management layer and an execution layer; the management layer comprises a project manager agent, an architect agent and a demand side agent; the execution layer comprises a shipping intention recognition agent, a background investigation agent, a content team agent, a review verification agent and a report writing agent; the intelligent agents cooperate with one another, and a shipping research report is written in a popular, easy-to-understand, organized and clear language according to the structure and style of the shipping report. According to the method provided by the invention, human information processing, decision making and operation processes are simulated, a modularized and multi-agent cooperative agent scheme is constructed, and the application of AI in the shipping field is pushed to a new height of comprehensive knowledge creation from operation assistance and single analysis.

The invention discloses an annual work report generation method, system and device based on a large model, and a medium, belongs to the technical field of natural language processing and artificial intelligence application, and aims to solve the technical problems of low efficiency, unstable quality, poor flexibility and high efficiency in the existing annual work report writing process. According to the technical scheme, the method comprises the steps of obtaining multi-source data related to annual work; preprocessing the multi-source data; a pre-training fine tuning mode is adopted to train and optimize the large model, a large-scale pre-training language model is used as a basis, supervised learning and unsupervised learning modes are combined, and the large model is finely tuned by using related data; inputting the preprocessed data into the trained and optimized large model, and generating a preliminary report according to a structural framework of an annual work report; and receiving user modification opinions through an interactive interface, analyzing the opinions, cooperating with data processing and large model optimization, re-obtaining data or optimized contents, and iteratively outputting a final report.

The invention provides a financial research report generation method based on a large model. Comprising a data collection module, a data analysis module and a report writing module. The data collection module is used for receiving a predefined data collection task and an autonomously generated data collection task, then inputting the tasks into a deep search agent, and constructing a structured multi-modal memory for a search result for storage; the data analysis module constructs a data analysis agent, and realizes the generation of a structured multi-modal small report through cooperation of a financial calculation tool, a chart generation tool and a reference addition tool in an actor-reviewer iteration mode in which a large language model is matched with a visual language model; and the report writing module constructs a report writing agent to obtain a chapter first draft and then inputs the chapter first draft into the post-processing agent to obtain a final report. The problems that an existing deep research system and a large language model agent in the financial field are lack of financial field knowledge, limited in multi-modal ability, limited in research and report generation depth and comprehensiveness and the like are solved.

The invention discloses an intelligent long report writing method and system based on chapter structure control, and the method comprises the steps: inputting a writing target, determining a report structure template, and carrying out the analysis and decomposition of the writing target into document structure objects with a hierarchical relation based on the report structure template; traversing each chapter node in the document structure object and distributing a chapter label to the chapter node to construct a tagged document structure, and then mapping the chapter label to a specific generation strategy; setting a group of dynamic writing path schedulers for constructing a group of nonlinear optimal writing execution paths based on the logic dependency relationship between chapter nodes and the availability of required resources; according to the optimal writing execution path, executing a generation strategy at the chapter node to generate chapter content; and integrating the chapter content into the report document. According to the invention, the structure consistency and logic preciseness of the report can be obviously improved, and the accurate control and optimization of the whole writing process can be realized.

The invention provides an intelligent bond project establishment application report compiling method and system based on multi-agent cooperative work, and the method and system employ an architecture based on multi-agent cooperative work, can simulate the working process of an actual operator, and cooperatively complete the task decomposition, data arrangement, content generation and structure verification of financial document compiling work. The automation level is improved. A model agent for simulating the division roles of six financial project groups is designed, and the model agent comprises a project manager, data investigation, material examination, content writing, quality control auditing and content correction. Each role plays different functions and tasks in the research and report writing process, uses different tools, and is mutually matched from multiple dimensions, so that the quality and efficiency of the bond project establishment application report are improved.

This invention discloses an intelligent research report writing method based on a large language model, comprising four steps: PDF parsing, RAG-based retrieval and recall, LLM-based text generation and polishing, and content numerical verification. The input data for the method model is the original periodic announcement documents. PDF parsing ensures that the text, table, and image information of the announcements can be efficiently identified and used. Next, for the massive amount of information, a RAG-based retrieval and recall scheme is adopted. First, scalar filtering is performed, then a vectorized model is used to hierarchically recall chapter and paragraph information. Then, a rerank model is used to further rank the recalled content, placing more relevant segments at the top for the large model to generate content. The polishing model is specifically trained on historical research report corpora to produce more professional and fluent results. Finally, the content numerical verification section effectively solves the potential errors and risks caused by the illusion of a large model.

The invention provides an AIGC-based financing and leasing industry analysis report writing method and system. The method comprises the following steps: collecting and preprocessing multi-source heterogeneous data; a step of constructing and updating a dynamic knowledge graph; a step of AIGC model training and fine tuning; a complex statistical model integration step; a step of generating a multi-mode content; reinforcing learning optimization report logic; a step of real-time data incremental learning; performing domain expert interactive verification; a step of personalized customization of the report; and carrying out automatic distribution and feedback collection. According to the method, report writing efficiency is remarkably improved, and labor cost is reduced; the report depth is enhanced through an advanced analysis model, and accurate decision making is supported; content innovation is ensured by the dynamic knowledge graph and reinforcement learning, and homogenization is avoided; the timeliness and reliability of the report are improved through real-time data updating and interactive verification; on the whole, the financial lease industry is promoted to be transformed to intelligence and data drive, and the enterprise competitiveness is enhanced.

The application belongs to the technical field of data processing, and specifically discloses an intelligent report generation and deep analysis method for government administration personnel analysis, which comprises the following steps: first, forming information data packets from the relevant data of target personnel; then, inputting the unstructured data in the data packets into a large language model for knowledge extraction and forming a personnel knowledge graph; then, generating corresponding language paragraphs according to the data in the personnel knowledge graph and filling them into a report template; based on the generated report content, question answering, correlation search and thinking chain analysis can also be performed. In view of the problem of low work efficiency of personnel analysis and research for government administration key personnel, the application realizes template-based automatic generation of reports by querying aggregated data and automatically extracting and integrating information by a large model, thereby solving the problem of low work efficiency of government personnel caused by the difficulty in processing unstructured data and the heavy burden of report writing in the personnel analysis and research of government administration key personnel under the prior art.

The application discloses a research report generation method and electronic equipment, relates to the computer technical field, carries out multi-modal content structured extraction to the uploaded document, forms a structured document tree and stores into a vector database; the document key information is retrieved from the database, the document key information is filled into the corresponding task decomposition template, and the research outline is generated after adaptive adjustment; knowledge gap is identified, the optimal execution scheme is determined in combination with the task priority and information demand characteristics; the task is decomposed and iterative retrieval is executed, information is retrieved from the database and external resources to fill the knowledge gap, and the iterative convergence condition is judged through information entropy change and multi-round gain threshold; after judging the iterative convergence, the analysis results generated by the multi-round iteration are integrated and optimized in stages. In this way, the document analysis and report writing efficiency can be improved, the research report with deep thinking is output, the knowledge gap is actively filled, the human limitations are avoided, and the analysis results are comprehensive and accurate.

The invention discloses an intelligent visualization and report generation method for multi-source data, which utilizes a large language model to carry out demand analysis, chart planning and narrative writing, combines automatic modeling, chart rendering and compliance auditing to form a'planning-generation-evaluation-release 'closed loop, and solves the problems of time consumption, non-uniform style and insufficient insight in report production. According to the technical scheme, the method comprises the steps of 1, demand analysis and index carding; and 2, data access and modeling. And 3, chart generation and layout. And 4, report writing and publishing.

The invention discloses a periodic research report writing method and device, equipment, a storage medium and a product, and relates to the technical field of data processing.The method comprises the steps that in response to a research report writing request, a historical periodic research report example text is obtained from a database according to parameters in the research report writing request, and the parameters comprise a time range and a research report type; inputting the historical periodic research report example text into the large language model, extracting a research report composition outline, and performing content chapter composition on the research report composition outline to obtain a to-be-evaluated research report; performing reflection modification on the to-be-evaluated research report, and performing research report professional evaluation on the modified to-be-evaluated research report; and if the evaluation result of the research report professional evaluation is that the preset requirement is not met, performing iterative modification and re-evaluation on the to-be-evaluated research report based on the large language model until the evaluation result meets the preset requirement, and outputting the to-be-evaluated research report as a target periodic research report. The problem that high customization and strict specifications are difficult to meet at the same time in the prior art is solved.

The invention provides a report generation method and system based on an AIGC large model, electronic equipment and a storage medium, and aims to solve the problems that manual report writing takes a long time and is easy to make mistakes. The method comprises the following steps: processing and integrating collected data to generate a large-width table meeting preset requirements; configuring a large-width table required for generating a report to form a data set; inputting personalized information required for intelligently generating the report according to the prompt information; and according to a user request, calling a preset small model for the data set to carry out data processing and data analysis to obtain a data analysis result, calling a preset large model to carry out reasoning according to the data analysis result and generate a conclusion, and based on the personalized information, generating a report according to the analysis result and the conclusion. The related analysis report is automatically and intelligently generated by using the AIGC large model technology, the problems of time and labor waste, error proneness and poor timeliness of manual report generation are solved, and cost reduction and efficiency improvement are realized.

The invention provides a natural resource report writing method and system based on a large model, and the method comprises the steps: constructing a natural resource field report writing knowledge graph, and creating a report writer suitable for the field through a pre-training language model and knowledge graph priori knowledge. According to the method, a natural language description text is obtained, report output is generated by using a report writer, and a complete report is generated by using a template according to report structure classification. In addition, sub-knowledge maps in different fields are generated and integrated into the main knowledge map, data are stored, important information is extracted, the knowledge map of report writing materials is constructed, and the automatic process from original data to report writing is achieved. The automatic writing level of the report in the natural resource field can be improved, and the generation efficiency and accuracy of the report are improved.

The application discloses a property operation report generation method and device based on multiple agents and related media, which comprises the following steps: calling an intention recognition agent to perform intention analysis, and then calling a task planning agent to perform path construction and scheme solving; determining the execution sequence of the task in combination with the task planning data to obtain task processing data; calling a data collection agent to collect data on the task processing data to obtain preliminary processing data; calling a code calculation agent to perform code generation and model operation on the preliminary processing data, then calling an outline making agent to perform outline arrangement and report generation processing, and then calling a report writing agent to complete report packaging, and outputting a property operation report. The application performs outline arrangement and report generation processing on the structured analysis result obtained through calculation, packages and outputs the property operation report, so that the report arrangement is not required to be manually performed, the process is simplified, and the report output efficiency is improved.

The invention relates to an interactive controllable HSE report auxiliary generation method based on a large model, and is suitable for the technical field of artificial intelligence. The method comprises the following steps: obtaining related materials of a report to be generated uploaded by a user, wherein the related materials comprise an HSE notification file, a report template file and a previous high-quality report; calling LLM, extracting multi-level item information from the HSE notification file, extracting a report writing framework from the report template file, and constructing a hierarchical report outline; displaying the report outline to the user, obtaining an editing operation of the user on the report outline, and generating a final outline draft in response to a final draft instruction of the user; splitting a previous high-quality report into chapter blocks according to chapters of the previous high-quality report, and matching each chapter block with each item title in a final outline draft according to semantic similarity to serve as a reference of a writing style during item writing; and calling LLM, generating contents of each chapter of the report based on each item information in the final outline draft and the matched chapter blocks in the previous high-quality report, and synthesizing an HSE report.

The invention discloses a browser-based editing method for supporting a real-time dynamic data editor, which comprises the steps of dynamic data insertion, chart customization, report release, information flow generation, intelligent verification and plug-in design, so that the report writing efficiency is improved, the data visualization capability is enhanced, the accuracy and timeliness of a report are improved, and the real-time dynamic data editor is realized. Multi-format output is supported, compliance risks are reduced, high expandability is provided, and the intelligent level is improved; according to the scheme, special requirements in the field of financial research and report are fully considered, functions of dynamic data insertion into charts, real-time table data updating, professional research and report issuing and intelligent stock industry information flow generation are supported, real-time updating and intelligent analysis of data are realized through an innovative plug-in design concept and a standardized API integration scheme, and the method is suitable for popularization and application. The research and report writing efficiency is remarkably improved, and all-around content creation support is provided for financial researchers.

The invention relates to the technical field of computer information processing, and discloses an automatic report generation system and method based on intelligent data analysis, and the system comprises a multi-source data access and fusion module, a dynamic analysis engine module, a natural language generation and report structuring module, a user interaction and feedback optimization module, and a report output and distribution module. The multi-source data access and fusion module comprises a data acquisition unit, a data preprocessing unit and a data fusion unit, and integrates the multi-source data access and fusion module, a dynamic analysis engine module, a natural language generation and report structuring module, a user interaction and feedback optimization module and a report output and distribution module; according to the method, mass data can be efficiently processed, data extraction, cleaning and analysis and report writing can be automatically completed, the data analysis efficiency and accuracy are greatly improved, dependence on manual operation is reduced, the report generation period is shortened, and the requirement for real-time or quasi-real-time decision making is met.