{"id":"https://openalex.org/W4403708975","doi":"https://doi.org/10.1145/3690407.3690464","title":"Multi-model Collaboration and Prompt-driven Patent Classification Methods","display_name":"Multi-model Collaboration and Prompt-driven Patent Classification Methods","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4403708975","doi":"https://doi.org/10.1145/3690407.3690464"},"language":"en","primary_location":{"id":"doi:10.1145/3690407.3690464","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690407.3690464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114388120","display_name":"Jinjing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinjing Zhang","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-3072-0586","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":null,"display_name":"He Ren","orcid":"https://orcid.org/0009-0002-0072-1222"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He Ren","raw_affiliation_strings":["Beijing Beizi Information Engineering Consulting Co.,Ltd., Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-0072-1222","affiliations":[{"raw_affiliation_string":"Beijing Beizi Information Engineering Consulting Co.,Ltd., Beijing, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114242658","display_name":"Shijing Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijing Guo","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-8610-5097","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083236307","display_name":"Jianzhi Sun","orcid":"https://orcid.org/0009-0003-6014-7549"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhi Sun","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-6014-7549","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114388120"],"corresponding_institution_ids":["https://openalex.org/I179026463"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11223702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"332","last_page":"336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11407","display_name":"Innovative Microfluidic and Catalytic Techniques Innovation","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9599999785423279,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6114753484725952}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6114753484725952}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3690407.3690464","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690407.3690464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1972243012","https://openalex.org/W2084319893","https://openalex.org/W2783785145","https://openalex.org/W3023672669","https://openalex.org/W3034156543","https://openalex.org/W3046354353","https://openalex.org/W3096580779","https://openalex.org/W3153427360","https://openalex.org/W3156333129","https://openalex.org/W3185341429"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Patent":[0],"classification":[1,20,23,41],"plays":[2],"a":[3,35,51,106],"crucial":[4],"role":[5],"in":[6,86,94],"intellectual":[7],"property":[8],"management.":[9],"With":[10],"the":[11,17,45,57,70,96],"increasing":[12],"number":[13],"of":[14,19,47,60,78],"patents":[15,68],"and":[16,38,55,101],"refinement":[18],"systems,":[21],"traditional":[22],"methods":[24],"find":[25],"it":[26],"difficult":[27],"to":[28,69],"meet":[29],"current":[30],"needs.":[31],"This":[32],"paper":[33],"proposes":[34],"multi-model":[36,52],"collaboration":[37,53],"prompt-driven":[39],"patent":[40,90,110],"method.":[42],"By":[43],"optimizing":[44],"structure":[46],"prompt":[48],"tokens,":[49],"employing":[50],"strategy,":[54],"utilizing":[56],"pre-trained":[58],"knowledge":[59],"Large":[61],"Language":[62],"Models":[63],"(LLMs),":[64],"this":[65,81],"method":[66,82],"classifies":[67],"IPC":[71],"subclass":[72],"level.":[73],"Verified":[74],"by":[75],"multiple":[76],"sets":[77],"comparative":[79],"experiments,":[80],"achieves":[83],"notable":[84],"results":[85],"small":[87],"sample":[88],"photovoltaic":[89],"classification,":[91],"offering":[92],"advantages":[93],"reducing":[95],"requirement":[97],"for":[98,109],"annotated":[99],"data":[100],"training":[102],"costs,":[103],"thus":[104],"providing":[105],"feasible":[107],"approach":[108],"text":[111],"classification.":[112]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}