{"id":"https://openalex.org/W7079989181","doi":"https://doi.org/10.14778/3749646.3749708","title":"CEDAR: A System for Cost-Efficient Data-Driven Claim Verification","display_name":"CEDAR: A System for Cost-Efficient Data-Driven Claim Verification","publication_year":2025,"publication_date":"2025-07-01","ids":{"openalex":"https://openalex.org/W7079989181","doi":"https://doi.org/10.14778/3749646.3749708"},"language":"en","primary_location":{"id":"doi:10.14778/3749646.3749708","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3749646.3749708","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-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":null,"display_name":"Tharushi Jayasekara","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tharushi Jayasekara","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":null,"display_name":"Immanuel Trummer","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Immanuel Trummer","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45172252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"11","first_page":"4492","last_page":"4504"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.70660001039505,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.70660001039505,"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/T13067","display_name":"Geological Modeling and Analysis","score":0.02759999968111515,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.015699999406933784,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.5436000227928162},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4828000068664551},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.38929998874664307},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.33309999108314514},{"id":"https://openalex.org/keywords/newspaper","display_name":"Newspaper","score":0.3328999876976013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296000123023987},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.5436000227928162},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4828000068664551},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3903000056743622},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.38929998874664307},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3005000054836273},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2858000099658966},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2624000012874603}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3749646.3749708","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3749646.3749708","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W651477617","https://openalex.org/W2015462142","https://openalex.org/W2032374895","https://openalex.org/W2153329411","https://openalex.org/W2340645138","https://openalex.org/W2567809919","https://openalex.org/W2743800013","https://openalex.org/W2751368487","https://openalex.org/W2888929163","https://openalex.org/W2954078796","https://openalex.org/W2963961878","https://openalex.org/W3000512475","https://openalex.org/W3084740534","https://openalex.org/W3084820690","https://openalex.org/W3152858897","https://openalex.org/W3196268181","https://openalex.org/W3214600982","https://openalex.org/W4391610230","https://openalex.org/W4401042272","https://openalex.org/W4411374449"],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"CEDAR,":[2],"a":[3,14],"system":[4,29,93],"for":[5,45,136,144,169],"cost-efficient,":[6],"data-driven":[7,170],"claim":[8,46],"verification.":[9,47],"CEDAR":[10,70,116,161],"takes":[11],"as":[12],"input":[13],"collection":[15],"of":[16,114,125,132],"text":[17],"documents,":[18],"containing":[19],"claims":[20,37,57],"that":[21,41,84,160],"can":[22,42],"be":[23,43],"verified":[24],"from":[25,76],"relational":[26],"data.":[27],"The":[28,92,149],"uses":[30,117],"large":[31],"language":[32],"models":[33],"(LLMs)":[34],"to":[35,38,55,58,80,98,108,120,141],"map":[36,56],"SQL":[39],"queries":[40,59],"used":[44],"While":[48],"LLMs":[49],"like":[50],"GPT-4":[51],"are":[52],"nowadays":[53],"able":[54],"with":[60,103],"high":[61],"accuracy,":[62],"using":[63],"them":[64],"is":[65,68],"expensive.":[66],"This":[67],"why":[69],"implements":[71],"multiple":[72,96],"verification":[73,126],"approaches,":[74,83],"ranging":[75],"zero-shot":[77],"LLM":[78],"invocations":[79],"iterative,":[81],"agent-based":[82],"realize":[85],"different":[86],"tradeoffs":[87],"between":[88],"accuracy":[89,145,165],"and":[90,106,128,156],"costs.":[91],"may":[94],"apply":[95],"methods":[97,105,127,168],"the":[99],"same":[100],"claim,":[101],"starting":[102],"cheaper":[104],"resorting":[107],"more":[109],"expensive":[110],"versions":[111],"in":[112],"case":[113],"failures.":[115],"cost-based":[118],"optimization":[119],"derive":[121],"an":[122,129],"optimal":[123,130],"order":[124],"number":[131],"re-tries":[133],"(with":[134],"randomization)":[135],"each":[137],"method,":[138],"enabling":[139],"users":[140],"trade":[142],"costs":[143],"via":[146],"tuning":[147],"parameters.":[148],"experiments":[150],"on":[151],"real":[152],"data,":[153],"including":[154],"newspaper":[155],"Wikipedia":[157],"articles,":[158],"show":[159],"achieves":[162],"significantly":[163],"higher":[164],"than":[166],"prior":[167],"fact-checking.":[171]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}