{"id":"https://openalex.org/W4415707995","doi":"https://doi.org/10.1109/icme59968.2025.11209475","title":"Brainstorming Brings Power to Large Language Models of Knowledge Reasoning","display_name":"Brainstorming Brings Power to Large Language Models of Knowledge Reasoning","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415707995","doi":"https://doi.org/10.1109/icme59968.2025.11209475"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5102658441","display_name":"Zining Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Zining Qin","raw_affiliation_strings":["Beijing Normal-Hong Kong Baptist University"],"affiliations":[{"raw_affiliation_string":"Beijing Normal-Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023720236","display_name":"Chenhao Wang","orcid":"https://orcid.org/0000-0002-2481-5648"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhao Wang","raw_affiliation_strings":["Beijing Normal University-Zhuhai"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University-Zhuhai","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028160889","display_name":"Jianxiong Guo","orcid":"https://orcid.org/0000-0002-0994-3297"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxiong Guo","raw_affiliation_strings":["Beijing Normal University-Zhuhai"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University-Zhuhai","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104352434","display_name":"Huiling Qin","orcid":"https://orcid.org/0000-0002-4045-6091"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiling Qin","raw_affiliation_strings":["Beijing Normal University-Zhuhai"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University-Zhuhai","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051803761","display_name":"Weijia Jia","orcid":"https://orcid.org/0000-0002-0231-3196"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijia Jia","raw_affiliation_strings":["Beijing Normal University-Zhuhai"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University-Zhuhai","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102658441"],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16425121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.44769999384880066,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.44769999384880066,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.1915999948978424,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.06719999760389328,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/brainstorming","display_name":"Brainstorming","score":0.8539999723434448},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4846999943256378},{"id":"https://openalex.org/keywords/model-based-reasoning","display_name":"Model-based reasoning","score":0.39660000801086426},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.3765000104904175},{"id":"https://openalex.org/keywords/opportunistic-reasoning","display_name":"Opportunistic reasoning","score":0.37279999256134033},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.366100013256073},{"id":"https://openalex.org/keywords/expressive-power","display_name":"Expressive power","score":0.3425999879837036}],"concepts":[{"id":"https://openalex.org/C150672426","wikidata":"https://www.wikidata.org/wiki/Q191183","display_name":"Brainstorming","level":2,"score":0.8539999723434448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7659000158309937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5996000170707703},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4846999943256378},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4401000142097473},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.39660000801086426},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3765000104904175},{"id":"https://openalex.org/C86827895","wikidata":"https://www.wikidata.org/wiki/Q7098582","display_name":"Opportunistic reasoning","level":4,"score":0.37279999256134033},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36149999499320984},{"id":"https://openalex.org/C195818886","wikidata":"https://www.wikidata.org/wiki/Q5421724","display_name":"Expressive power","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C2779192218","wikidata":"https://www.wikidata.org/wiki/Q16944486","display_name":"Elaboration","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C21847791","wikidata":"https://www.wikidata.org/wiki/Q191081","display_name":"Logical conjunction","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2660999894142151}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321432","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W4389519889","https://openalex.org/W4399528455","https://openalex.org/W4401042992","https://openalex.org/W4404518327","https://openalex.org/W4404782209","https://openalex.org/W4406800520"],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"demonstrated":[5],"amazing":[6],"capabilities":[7],"in":[8,23,28,102],"language":[9],"generation,":[10],"comprehension,":[11],"and":[12,25,86],"knowledge":[13],"reasoning.":[14,104],"However,":[15],"relying":[16],"on":[17,40,64,90],"a":[18,53,71,77,117,123],"single":[19],"model":[20,119],"can":[21,97,112],"result":[22],"biased":[24],"unstable":[26],"outcomes":[27],"many":[29],"tasks.":[30],"Multi-model":[31],"collaboration":[32],"has":[33],"been":[34],"introduced":[35],"to":[36,75,116],"enhance":[37],"reasoning":[38,84],"abilities":[39],"various":[41],"tasks,":[42],"but":[43],"obtaining":[44],"the":[45,95,100,127],"correct":[46],"answer":[47,79],"from":[48],"multiple":[49,81],"candidate":[50],"responses":[51],"remains":[52],"challenge.":[54],"To":[55],"address":[56],"this":[57],"issue,":[58],"we":[59,106],"propose":[60],"multi-model":[61],"brainstorming":[62,96],"based":[63],"prompt.":[65],"It":[66],"incorporates":[67],"different":[68],"models":[69,111],"into":[70],"group":[72],"for":[73,126],"brainstorming,":[74,121],"reach":[76],"consensus":[78],"after":[80],"rounds":[82],"of":[83,130],"elaboration":[85],"re-inference.":[87],"Our":[88],"experiments":[89],"diverse":[91],"datasets":[92],"demonstrate":[93],"that":[94,108],"substantially":[98],"improve":[99],"effectiveness":[101],"logical":[103],"Further,":[105],"observe":[107],"two":[109],"small-parameter":[110],"achieve":[113],"accuracy":[114],"comparable":[115],"larger-parameter":[118],"through":[120],"presenting":[122],"novel":[124],"approach":[125],"distributed":[128],"deployment":[129],"LLMs.":[131]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}