{"id":"https://openalex.org/W4412945508","doi":"https://doi.org/10.18653/v1/2025.acl-long.468","title":"KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph","display_name":"KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412945508","doi":"https://doi.org/10.18653/v1/2025.acl-long.468"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-long.468","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.468","pdf_url":"https://aclanthology.org/2025.acl-long.468.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.acl-long.468.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069058824","display_name":"Jinhao Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinhao Jiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722039","display_name":"Kun Zhou","orcid":"https://orcid.org/0000-0001-7660-2911"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Xin Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041567418","display_name":"Yang Song","orcid":"https://orcid.org/0000-0003-1283-1672"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Song","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355249","display_name":"Chen Zhu","orcid":"https://orcid.org/0000-0003-0007-2189"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen Zhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049015446","display_name":"Hengshu Zhu","orcid":"https://orcid.org/0000-0003-4570-643X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hengshu Zhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ji-Rong Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9505","last_page":"9523"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9027000069618225,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9027000069618225,"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/computer-science","display_name":"Computer science","score":0.7300516366958618},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5799276232719421},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.5373984575271606},{"id":"https://openalex.org/keywords/autonomous-agent","display_name":"Autonomous agent","score":0.4955841302871704},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4588582515716553},{"id":"https://openalex.org/keywords/intelligent-agent","display_name":"Intelligent agent","score":0.453203022480011},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3974262773990631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3814704418182373},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35787254571914673},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23550119996070862}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7300516366958618},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5799276232719421},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.5373984575271606},{"id":"https://openalex.org/C13687954","wikidata":"https://www.wikidata.org/wiki/Q4826847","display_name":"Autonomous agent","level":2,"score":0.4955841302871704},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4588582515716553},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.453203022480011},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3974262773990631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3814704418182373},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35787254571914673},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23550119996070862}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.acl-long.468","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.468","pdf_url":"https://aclanthology.org/2025.acl-long.468.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.acl-long.468","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.468","pdf_url":"https://aclanthology.org/2025.acl-long.468.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G132187983","display_name":null,"funder_award_id":"62222215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1899978318","display_name":null,"funder_award_id":"L233008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412945508.pdf","grobid_xml":"https://content.openalex.org/works/W4412945508.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4255709826","https://openalex.org/W2161520603","https://openalex.org/W2612836981","https://openalex.org/W1514940859","https://openalex.org/W2604958989","https://openalex.org/W4389284117","https://openalex.org/W1599792556","https://openalex.org/W2618926139","https://openalex.org/W4244883971","https://openalex.org/W2108086216"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,35,61,94],"aim":[4],"to":[5,19,49,98,113],"improve":[6],"the":[7,28,55,63,80,85,92,100,105,115],"reasoning":[8,56,88,102],"ability":[9],"of":[10],"large":[11],"language":[12,97],"models":[13],"(LLMs)":[14],"over":[15,58,89,104],"knowledge":[16,70],"graphs":[17],"(KGs)":[18],"answer":[20],"complex":[21],"questions.Inspired":[22],"by":[23],"existing":[24],"methods":[25,131],"that":[26,77,120],"design":[27],"interaction":[29],"strategy":[30],"between":[31],"LLMs":[32,134],"and":[33,69,72,82,107,141,145],"KG,":[34],"propose":[36],"an":[37,74],"autonomous":[38],"LLM-based":[39],"agent":[40],"framework,":[41],"called":[42],"KG-Agent,":[43,60],"which":[44],"enables":[45],"a":[46,109],"small":[47],"LLM":[48],"actively":[50],"make":[51],"decisions":[52],"until":[53],"finishing":[54],"process":[57,103],"KGs.In":[59],"integrate":[62],"LLM,":[64],"multifunctional":[65],"toolbox,":[66],"KG-based":[67],"executor,":[68],"memory,":[71],"develop":[73],"iteration":[75],"mechanism":[76],"autonomously":[78],"selects":[79],"tool":[81],"then":[83],"updates":[84],"memory":[86],"for":[87,125],"KG.To":[90],"guarantee":[91],"effectiveness,":[93],"leverage":[95],"program":[96],"formulate":[99],"multi-hop":[101],"KG":[106],"synthesize":[108],"code-based":[110],"instruction":[111],"dataset":[112],"fine-tune":[114],"base":[116],"LLM.Extensive":[117],"experiments":[118],"demonstrate":[119],"only":[121],"using":[122,132],"10K":[123],"samples":[124],"tuning":[126],"LLaMA2-7B":[127],"can":[128],"outperform":[129],"competitive":[130],"larger":[133],"or":[135],"more":[136],"data,":[137],"on":[138],"both":[139],"in-domain":[140],"out-domain":[142],"datasets.Our":[143],"code":[144],"data":[146],"will":[147],"be":[148],"publicly":[149],"released.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}