{"id":"https://openalex.org/W7171529563","doi":"https://doi.org/10.48550/arxiv.2607.22706","title":"MPR-CiteG: Enhancing RAG with Multi-Portfolio Retrieval and Citation-Grounded Generation","display_name":"MPR-CiteG: Enhancing RAG with Multi-Portfolio Retrieval and Citation-Grounded Generation","publication_year":2026,"publication_date":"2026-07-20","ids":{"openalex":"https://openalex.org/W7171529563","doi":"https://doi.org/10.48550/arxiv.2607.22706"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.22706","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.22706","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.22706","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5143857379","display_name":"Hyewon Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Hyewon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130023088","display_name":"Minkyung Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Minkyung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061084509","display_name":"Junghyun Oh","orcid":"https://orcid.org/0000-0003-0502-7600"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oh, Junghyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143819267","display_name":"Seunghoon Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Seunghoon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5143757536","display_name":"Sungsu Lim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lim, Sungsu","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":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.262800008058548,"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":0.262800008058548,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.15070000290870667,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.12530000507831573,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.6057999730110168},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5443000197410583},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.45260000228881836},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4178999960422516},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.38440001010894775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844000220298767},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.6057999730110168},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5443000197410583},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.45260000228881836},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4178999960422516},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36809998750686646},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3434000015258789},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3427000045776367},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3012000024318695}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.22706","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.22706","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.22706","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.22706","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"This":[0],"paper":[1],"presents":[2],"the":[3,11,26,40,51,109,113],"MPR-CiteG":[4,70],"framework,":[5],"which":[6,39],"achieved":[7],"second":[8],"place":[9],"in":[10,20,38,96],"ScienceON":[12],"AI":[13],"Challenge":[14],"by":[15],"addressing":[16],"two":[17],"fundamental":[18],"challenges":[19],"generative":[21],"AI:":[22],"inefficient":[23],"retrieval":[24],"and":[25,47,64,79,115],"absence":[27],"of":[28,87,92,117],"source":[29],"verification.":[30],"We":[31],"propose":[32],"a":[33,72],"dual-component":[34],"system,":[35],"termed":[36],"MPR-CiteG,":[37],"Multi-Portfolio":[41],"Retriever":[42],"(MPR)":[43],"efficiently":[44],"retrieves":[45],"diverse":[46],"relevant":[48],"information,":[49],"while":[50],"Citation-Grounded":[52],"Generation":[53],"(CiteG)":[54],"module":[55],"ensures":[56],"that":[57,82],"every":[58],"generated":[59],"output":[60],"remains":[61],"factually":[62],"consistent":[63],"explicitly":[65],"attributed":[66],"to":[67],"its":[68],"source.":[69],"represents":[71],"significant":[73],"step":[74],"toward":[75],"building":[76],"more":[77],"trustworthy":[78],"accurate":[80],"LLMs":[81],"are":[83],"not":[84],"only":[85],"capable":[86],"generating":[88],"information":[89],"but":[90],"also":[91],"grounding":[93],"their":[94],"responses":[95],"reliable":[97],"evidence,":[98],"thereby":[99],"mitigating":[100],"common":[101],"issues":[102],"like":[103],"model":[104],"hallucination.":[105],"Extensive":[106],"experiments":[107],"on":[108],"challenge":[110],"dataset":[111],"validate":[112],"effectiveness":[114],"reliability":[116],"our":[118],"approach.":[119],"Our":[120],"code":[121],"is":[122],"available":[123],"at":[124],"https://github.com/2noweyh/MPR-citeG.":[125]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-07-29T00:00:00"}