{"id":"https://openalex.org/W7167628479","doi":"https://doi.org/10.48550/arxiv.2607.05069","title":"MIRAGE: Defending Long-Form RAG Against Misinformation Pollution","display_name":"MIRAGE: Defending Long-Form RAG Against Misinformation Pollution","publication_year":2026,"publication_date":"2026-07-06","ids":{"openalex":"https://openalex.org/W7167628479","doi":"https://doi.org/10.48550/arxiv.2607.05069"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.05069","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.05069","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":null,"license_id":null,"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.2607.05069","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140176331","display_name":"Saadeldine Eletter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eletter, Saadeldine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102338936","display_name":"Ruihong Zeng","orcid":"https://orcid.org/0000-0002-3751-9127"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Ruihong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140187838","display_name":"Yuxia Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yuxia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140207336","display_name":"Maxim Panov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panov, Maxim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031168757","display_name":"Aleksandr Rubashevskii","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rubashevskii, Aleksandr","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5140178583","display_name":"Preslav Nakov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nakov, Preslav","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/T11147","display_name":"Misinformation and Its Impacts","score":0.7332000136375427,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.7332000136375427,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.12200000137090683,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.02500000037252903,"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/misinformation","display_name":"Misinformation","score":0.8355000019073486},{"id":"https://openalex.org/keywords/pollution","display_name":"Pollution","score":0.5260000228881836},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4717999994754791},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.35179999470710754},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3328000009059906},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.3199000060558319}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.8355000019073486},{"id":"https://openalex.org/C521259446","wikidata":"https://www.wikidata.org/wiki/Q58734","display_name":"Pollution","level":2,"score":0.5260000228881836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5228999853134155},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4717999994754791},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4530999958515167},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4058000147342682},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.3199000060558319},{"id":"https://openalex.org/C2778258037","wikidata":"https://www.wikidata.org/wiki/Q7225750","display_name":"Pollution prevention","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2874000072479248},{"id":"https://openalex.org/C197352329","wikidata":"https://www.wikidata.org/wiki/Q1093434","display_name":"Citizen science","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.27559998631477356},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.2711000144481659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.05069","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.05069","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.05069","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.05069","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"Retrieval-Augmented":[0],"Generation":[1],"(RAG)":[2],"improves":[3],"factuality":[4,112],"by":[5],"grounding":[6],"LLMs":[7],"in":[8],"external":[9],"evidence,":[10],"but":[11],"real-world":[12],"retrieval":[13,63],"is":[14],"often":[15],"polluted:":[16],"semantically":[17],"relevant":[18],"passages":[19],"may":[20],"contain":[21],"subtle":[22],"misinformation,":[23],"misleading":[24],"framings,":[25],"or":[26,60],"fabrications.":[27],"We":[28,67],"introduce":[29],"MIRAGE,":[30],"a":[31,47,55,70],"training-free,":[32],"model-agnostic":[33],"defense":[34],"for":[35],"long-form":[36,94],"RAG.":[37],"MIRAGE":[38,109],"builds":[39],"an":[40],"NLI-based":[41],"cross-document":[42],"claim":[43],"graph":[44],"and":[45,64,87,97,100,115,119,126],"applies":[46],"Defended-Claims":[48],"Gate":[49],"to":[50,61,82],"either":[51],"condition":[52],"generation":[53],"on":[54],"consistent,":[56],"multi-source":[57],"supported":[58],"subset":[59],"block":[62],"answer":[65],"parametrically.":[66],"also":[68],"release":[69],"minimal-edit":[71],"pollution":[72,103],"protocol":[73],"spanning":[74],"four":[75,93],"perturbation":[76],"families":[77],"(Unambiguous,":[78],"Conflicting,":[79],"Misleading,":[80],"Fabricated)":[81],"construct":[83],"matched":[84],"clean,":[85],"mixed,":[86],"fully":[88,116],"polluted":[89,117],"evaluation":[90],"regimes.":[91],"Across":[92],"QA":[95],"benchmarks":[96],"multiple":[98],"commercial":[99],"open-weight":[101],"LLMs,":[102],"severely":[104],"degrades":[105],"vanilla":[106],"RAG,":[107],"while":[108],"consistently":[110],"restores":[111],"under":[113],"mixed":[114],"evidence":[118],"outperforms":[120],"prior":[121],"robust-RAG":[122],"methods.":[123],"Our":[124],"implementation":[125],"datasets":[127],"are":[128],"available":[129],"at":[130],"https://github.com/SaadElDine/MIRAGE.":[131]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-08T00:00:00"}