{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11960838","patent":{"patent_number":"US-11960838","title":"Method and device for reinforcement of multiple choice QA model based on adversarial learning techniques","assignee":null,"inventors":[],"filing_date":"2020-12-11T00:00:00.000Z","publication_date":"2024-04-16T00:00:00.000Z","cpc_codes":["G06F","G06N","G06F","G06N"],"num_claims":14,"abstract":"The present invention relates to a method for reinforcing a multiple-choice QA model based on adversarial learning techniques, wherein incorrect answers are further generated based on a data set used in the process of training the multiple-choice QA model to enrich data which are learnable by the multiple-choice QA model. To achieve this object, the method includes step A of an incorrect answer generation model encoding a text based on natural language text and a question, generating a second incorrect answer based on the text and the question, and transmitting the second incorrect answer to an incorrect answer test model, step B of the incorrect answer test model encoding the text, the question, a first correct answer corresponding to the text and the question, a first incorrect answer and the second incorrect answer, and selecting a second correct answer based on results of the encoding, step C of the incorrect answer test model generating a feedback by determining whether the first correct answer is identical to the second correct answer, and step D of the incorrect answer generation model and the incorrect answer test model performing self-learning based on the feedback."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Method and device for reinforcement of multiple choice QA model based on adversarial learning techniques","description":"The present invention relates to a method for reinforcing a multiple-choice QA model based on adversarial learning techniques, wherein incorrect answers are further generated based on a data set used ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11960838","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11960838","citation_suggestion":"Patentable. \"Method and device for reinforcement of multiple choice QA model based on adversarial learning techniques\" (US-11960838). https://patentable.app/patents/US-11960838","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11960838","json":"https://patentable.app/api/llm-context/US-11960838","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T12:36:05.335Z"}