{"id":"https://openalex.org/W4414359425","doi":"https://doi.org/10.24963/ijcai.2025/1186","title":"Large Language Models for Causal Discovery: Current Landscape and Future Directions","display_name":"Large Language Models for Causal Discovery: Current Landscape and Future Directions","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359425","doi":"https://doi.org/10.24963/ijcai.2025/1186"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/1186","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1186","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/A5039490242","display_name":"Guoyang Wan","orcid":"https://orcid.org/0000-0002-6700-9056"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guangya Wan","raw_affiliation_strings":["University of Virginia"],"affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101940584","display_name":"Yunsheng Lu","orcid":"https://orcid.org/0000-0002-8400-3983"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunsheng Lu","raw_affiliation_strings":["University of Chicago"],"affiliations":[{"raw_affiliation_string":"University of Chicago","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074232124","display_name":"Yuqi Wu","orcid":"https://orcid.org/0000-0002-6527-2221"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yuqi Wu","raw_affiliation_strings":["University of Alberta"],"affiliations":[{"raw_affiliation_string":"University of Alberta","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033865274","display_name":"Mengxuan Hu","orcid":"https://orcid.org/0000-0002-8822-2884"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengxuan Hu","raw_affiliation_strings":["University of Virginia"],"affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359839","display_name":"Sheng Li","orcid":"https://orcid.org/0000-0003-1205-8632"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheng Li","raw_affiliation_strings":["University of Virginia"],"affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039490242"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38435374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10687","last_page":"10695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9369000196456909,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10260","display_name":"Software Engineering Research","score":0.9369000196456909,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9236999750137329,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.6187999844551086},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.5210000276565552},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.46549999713897705},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4293999969959259},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4169999957084656},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.40230000019073486},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.3407000005245209}],"concepts":[{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.6187999844551086},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.5210000276565552},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4918999969959259},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.46549999713897705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45879998803138733},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4293999969959259},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4169999957084656},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.3407000005245209},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.32989999651908875},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C166151441","wikidata":"https://www.wikidata.org/wiki/Q4923601","display_name":"Causation","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C79897977","wikidata":"https://www.wikidata.org/wiki/Q5054568","display_name":"Causal chain","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2621000111103058},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/1186","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1186","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Causal":[0],"discovery":[1],"(CD)":[2],"and":[3,30,37,72,93,110,126,132,153],"Large":[4],"Language":[5],"Models":[6],"(LLMs)":[7],"have":[8,17],"emerged":[9],"as":[10,114],"transformative":[11],"fields":[12],"in":[13,24,140,163],"artificial":[14],"intelligence":[15],"that":[16,81],"evolved":[18],"largely":[19],"independently.":[20],"While":[21],"CD":[22,55,85,108],"specializes":[23],"uncovering":[25],"cause-effect":[26],"relationships":[27],"from":[28,63],"data,":[29],"LLMs":[31,52,83,139,152],"excel":[32],"at":[33],"natural":[34,94],"language":[35,95],"processing":[36],"generation,":[38],"their":[39,88,111],"integration":[40,65],"presents":[41],"unique":[42],"opportunities":[43],"for":[44,84,96,128,137,160],"advancing":[45],"causal":[46,61,75,97,130],"understanding.":[47],"This":[48],"survey":[49],"examines":[50],"how":[51],"are":[53],"transforming":[54],"across":[56],"three":[57],"key":[58,120],"dimensions:":[59],"direct":[60],"extraction":[62],"text,":[64],"of":[66,74,91,148],"domain":[67],"knowledge":[68],"into":[69],"statistical":[70],"methods,":[71],"refinement":[73],"structures.":[76],"We":[77,118],"systematically":[78],"analyze":[79],"approaches":[80],"leverage":[82],"tasks,":[86],"highlighting":[87],"innovative":[89],"use":[90],"metadata":[92],"inference.":[98],"Our":[99],"analysis":[100],"reveals":[101],"both":[102],"LLMs'":[103],"potential":[104],"to":[105],"enhance":[106],"traditional":[107],"methods":[109],"current":[112],"limitations":[113],"imperfect":[115],"expert":[116],"systems.":[117],"identify":[119],"research":[121,135],"gaps,":[122],"outline":[123],"evaluation":[124],"frameworks":[125],"benchmarks":[127],"LLM-based":[129],"discovery,":[131],"advocate":[133],"future":[134,161],"efforts":[136],"leveraging":[138],"causality":[141],"research.":[142],"As":[143],"the":[144,149,158,164],"first":[145],"comprehensive":[146],"examination":[147],"synergy":[150],"between":[151],"CD,":[154],"this":[155],"work":[156],"lays":[157],"groundwork":[159],"advances":[162],"field.":[165]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
