{"id":"https://openalex.org/W4414359798","doi":"https://doi.org/10.24963/ijcai.2025/478","title":"Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting","display_name":"Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359798","doi":"https://doi.org/10.24963/ijcai.2025/478"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/478","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5100344431","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-4069-6423"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["Guangdong University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445503","display_name":"Jiahao Zhang","orcid":"https://orcid.org/0000-0003-3462-7170"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Zhang","raw_affiliation_strings":["Guangdong University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002264894","display_name":"Haipeng Zhu","orcid":"https://orcid.org/0000-0002-9269-0074"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Zhu","raw_affiliation_strings":["Guangdong University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034536387","display_name":"Boyan Xu","orcid":"https://orcid.org/0000-0003-1327-4740"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyan Xu","raw_affiliation_strings":["Guangdong University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091926843","display_name":"Zhifeng Hao","orcid":"https://orcid.org/0000-0002-9713-7251"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Hao","raw_affiliation_strings":["Guangdong University of Technology","Shantou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Shantou University","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107678333","display_name":"Keli Zhang","orcid":"https://orcid.org/0000-0001-8429-7312"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keli Zhang","raw_affiliation_strings":["Huawei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102705057","display_name":"Junjian Ye","orcid":"https://orcid.org/0009-0007-0923-9658"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junjian Ye","raw_affiliation_strings":["Huawei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076948208","display_name":"Ruichu Cai","orcid":"https://orcid.org/0000-0001-8972-167X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruichu Cai","raw_affiliation_strings":["Guangdong University of Technology","Peng Cheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Peng Cheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88623849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4292","last_page":"4300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9527999758720398,"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":0.9527999758720398,"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/causal-model","display_name":"Causal model","score":0.645799994468689},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5968999862670898},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.59579998254776},{"id":"https://openalex.org/keywords/causal-reasoning","display_name":"Causal reasoning","score":0.5134000182151794},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.43779999017715454},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.400299996137619},{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.3869999945163727},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3513000011444092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311000227928162},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.645799994468689},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5968999862670898},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.59579998254776},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.5134000182151794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4772999882698059},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.42910000681877136},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.400299996137619},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3781000077724457},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3179999887943268},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.299699991941452},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C2987525970","wikidata":"https://www.wikidata.org/wiki/Q96374569","display_name":"Causal analysis","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/478","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2,23],"(LLMs)":[3],"have":[4],"shown":[5],"great":[6],"potential":[7],"in":[8,81,85,114,137],"decision-making":[9,69],"due":[10],"to":[11,26,33,35,42,71,94,104,162,171],"the":[12,19,52,62,68,79,86,96,111,115,120,128,138,152,168,178,192,197],"vast":[13],"amount":[14],"of":[15,78,110,133,177,199],"knowledge":[16,77,146],"stored":[17],"within":[18,191],"models.However,":[20],"these":[21,48],"pre-trained":[22],"are":[24,31,159],"prone":[25],"lack":[27],"reasoning":[28],"abilities":[29],"and":[30,74,100,180],"difficult":[32],"adapt":[34],"new":[36],"environments,":[37],"further":[38],"hindering":[39],"their":[40,101],"application":[41],"complex":[43],"real-world":[44],"tasks.":[45],"To":[46],"address":[47],"challenges,":[49],"inspired":[50],"by":[51],"human":[53],"cognitive":[54],"process,":[55],"we":[56,89,118],"propose":[57],"Causal-Aware":[58,141],"LLMs,":[59],"which":[60],"integrate":[61],"structural":[63],"causal":[64,98,102,108,122,134,145,164],"model":[65,109,123],"(SCM)":[66],"into":[67],"process":[70],"model,":[72],"update,":[73],"utilize":[75,91],"structured":[76,107,121,144],"environment":[80,179],"a":[82,106,173],"\"learning-adapting-acting\"":[83],"paradigm.Specifically,":[84],"learning":[87,154],"stage,":[88,117,140],"first":[90],"an":[92,131],"LLM":[93,170],"extract":[95],"environment-specific":[97],"entities":[99],"relations":[103],"initialize":[105],"environment.":[112],"Subsequently,":[113],"adapting":[116],"update":[119],"through":[124,151],"external":[125],"feedback":[126],"about":[127],"environment,":[129],"via":[130],"idea":[132],"intervention.":[135],"Finally,":[136],"acting":[139],"LLMs":[142],"exploit":[143],"for":[147],"more":[148,174,182],"efficient":[149,183],"policy-making":[150],"reinforcement":[153],"agent.":[155],"The":[156],"above":[157],"processes":[158],"performed":[160],"iteratively":[161],"learn":[163],"knowledge,":[165],"ultimately":[166],"enabling":[167],"causal-aware":[169],"achieve":[172],"accurate":[175],"understanding":[176],"make":[181],"decisions.":[184],"Experimental":[185],"results":[186],"across":[187],"22":[188],"diverse":[189],"tasks":[190],"open-world":[193],"game":[194],"\"Crafter\"":[195],"validate":[196],"effectiveness":[198],"our":[200],"proposed":[201],"method.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
