{"id":"https://openalex.org/W4415707659","doi":"https://doi.org/10.1109/icme59968.2025.11209996","title":"OSLLM: A Retrieve-Reason-Refine Framework for Multi-Domain Relation Extraction with Large Language Models","display_name":"OSLLM: A Retrieve-Reason-Refine Framework for Multi-Domain Relation Extraction with Large Language Models","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415707659","doi":"https://doi.org/10.1109/icme59968.2025.11209996"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209996","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":"conference-paper","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/A5020405656","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0001-9335-9597"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Interactive Entertainment Group, Tencent,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interactive Entertainment Group, Tencent,Shenzhen,China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007715987","display_name":"Yongxue Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxue Shan","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045759968","display_name":"Meihan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meihan Wu","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068236378","display_name":"Fei Hu","orcid":"https://orcid.org/0000-0001-5231-2303"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Hu","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600010","display_name":"Li Zheng","orcid":"https://orcid.org/0009-0005-7582-6995"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zheng","raw_affiliation_strings":["Interactive Entertainment Group, Tencent,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interactive Entertainment Group, Tencent,Shenzhen,China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100633945","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0001-7730-3710"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.869700014591217,"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":0.869700014591217,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.021400000900030136,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.014100000262260437,"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/relation","display_name":"Relation (database)","score":0.8083000183105469},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.7860000133514404},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.695900022983551},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4348999857902527},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4016999900341034},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3668999969959259}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.8083000183105469},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.7860000133514404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7795000076293945},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.695900022983551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5788999795913696},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5364999771118164},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4348999857902527},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4016999900341034},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3668999969959259},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36489999294281006},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.36489999294281006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3538999855518341},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2922999858856201},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.26600000262260437}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209996","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1987971958","https://openalex.org/W2759211898","https://openalex.org/W2963797084","https://openalex.org/W2970641574","https://openalex.org/W3035009330","https://openalex.org/W3104081646","https://openalex.org/W3106477919","https://openalex.org/W3106484161","https://openalex.org/W3176762756","https://openalex.org/W3210122151","https://openalex.org/W3213852855","https://openalex.org/W4229020587","https://openalex.org/W4229031767","https://openalex.org/W4235169531","https://openalex.org/W4254240410","https://openalex.org/W4281488715","https://openalex.org/W4283721430","https://openalex.org/W4385565111","https://openalex.org/W4385569985","https://openalex.org/W4385570036","https://openalex.org/W4388778179","https://openalex.org/W4389523710"],"related_works":[],"abstract_inverted_index":{"Relation":[0],"Extraction":[1],"(RE)":[2],"aims":[3],"to":[4,34,93],"identify":[5],"relations":[6,27],"between":[7],"entities":[8],"in":[9,19,28,47,83,97],"text.":[10],"Despite":[11],"the":[12,103],"potential":[13],"of":[14,26,105],"Large":[15],"Language":[16],"Models":[17],"(LLMs)":[18],"RE,":[20],"they":[21],"struggle":[22],"with":[23,51],"low":[24],"relevance":[25],"retrieved":[29],"demonstrations":[30],"and":[31,64,70,86],"inconsistent":[32],"responses":[33],"identical":[35],"queries.":[36],"Therefore,":[37],"we":[38],"introduce":[39],"OSLLM,":[40],"a":[41],"novel":[42],"retrieve-reason-refine":[43],"framework":[44],"for":[45,57],"RE":[46,88],"Open":[48],"Source":[49],"Intelligence":[50],"LLMs.":[52],"OSLLM":[53,92],"leverages":[54],"relation":[55],"embeddings":[56],"accurate":[58],"retrieval,":[59],"performs":[60],"better":[61],"in-context":[62],"reasoning,":[63],"refines":[65],"outputs":[66],"via":[67],"template":[68],"self-optimization":[69],"answer":[71],"self-evaluation.":[72],"Extensive":[73],"experiments":[74],"demonstrate":[75],"that":[76],"our":[77],"method":[78],"outperforms":[79],"other":[80],"LLM-based":[81],"methods":[82],"traditional,":[84],"temporal,":[85],"open":[87],"tasks.":[89],"Additionally,":[90],"leveraging":[91],"assist":[94],"fine-tuned":[95],"models":[96],"handling":[98],"boundary":[99],"samples":[100],"significantly":[101],"boosts":[102],"performance":[104],"these":[106],"smaller":[107],"models.":[108]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-30T00:00:00"}
