{"id":"https://openalex.org/W7140128243","doi":"https://doi.org/10.48550/arxiv.2603.20034","title":"CoverageBench: Evaluating Information Coverage across Tasks and Domains","display_name":"CoverageBench: Evaluating Information Coverage across Tasks and Domains","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7140128243","doi":"https://doi.org/10.48550/arxiv.2603.20034"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.20034","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20034","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2603.20034","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130326105","display_name":"Saron Samuel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samuel, Saron","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130389714","display_name":"Andrew Yates","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yates, Andrew","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130329327","display_name":"Dawn Lawrie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lawrie, Dawn","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053747568","display_name":"Ian Soboroff","orcid":"https://orcid.org/0000-0003-2363-3014"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soboroff, Ian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009623895","display_name":"Trevor V. Adriaanse","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adriaanse, Trevor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130392804","display_name":"Benjamin Van Durme","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Van Durme, Benjamin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130392649","display_name":"Eugene Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Eugene","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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.805899977684021,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.805899977684021,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.01899999938905239,"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/T11448","display_name":"Face recognition and analysis","score":0.018400000408291817,"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/ranking","display_name":"Ranking (information retrieval)","score":0.6146000027656555},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6011000275611877},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5360999703407288},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.522599995136261},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.4887000024318695},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.39750000834465027},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.38749998807907104},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.35679998993873596},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.35429999232292175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7961000204086304},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7222999930381775},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6146000027656555},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6011000275611877},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5360999703407288},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.522599995136261},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.4887000024318695},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.38749998807907104},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.35429999232292175},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3476000130176544},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.34549999237060547},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.20034","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20034","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2603.20034","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20034","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"wish":[1],"to":[2,91,107],"measure":[3],"the":[4,18,27,40,97,136,154,204],"information":[5,23,168],"coverage":[6,31,152,169],"of":[7,17,20,138,151,164],"an":[8],"ad":[9,58,79],"hoc":[10,59,80],"retrieval":[11,41],"algorithm,":[12],"that":[13,94,147],"is,":[14],"how":[15],"much":[16],"range":[19],"available":[21,206],"relevant":[22,71],"is":[24,32,43,83,102,112],"covered":[25],"by":[26],"search":[28,143],"results.":[29],"Information":[30],"a":[33,49,65,86,149,162,177],"central":[34],"aspect":[35],"for":[36,57,85,114,166,202],"retrieval,":[37,60],"especially":[38],"when":[39],"system":[42,66],"integrated":[44],"with":[45,200],"generative":[46],"models":[47],"in":[48,78,141,153],"retrieval-augmented":[50],"generation":[51],"(RAG)":[52],"system.":[53],"The":[54,110],"classic":[55],"metrics":[56,116],"precision":[61,120,130],"and":[62,69,127,183,190],"recall,":[63],"reward":[64],"as":[67,118],"more":[68,70],"documents":[72,93],"are":[73,193],"retrieved.":[74],"However,":[75],"since":[76],"relevance":[77,188],"test":[81],"collections":[82,133,165],"defined":[84],"document":[87,207],"without":[88],"any":[89],"relation":[90],"other":[92,115],"might":[95],"contain":[96],"same":[98,111],"information,":[99],"high":[100],"recall":[101],"sufficient":[103],"but":[104],"not":[105],"necessary":[106],"ensure":[108],"coverage.":[109],"true":[113],"such":[117],"rank-biased":[119],"(RBP),":[121],"normalized":[122],"discounted":[123],"cumulative":[124],"gain":[125],"(nDCG),":[126],"mean":[128],"average":[129],"(MAP).":[131],"Test":[132],"developed":[134],"around":[135],"notion":[137],"diversity":[139],"ranking":[140],"web":[142,155],"incorporate":[144],"multiple":[145,181],"aspects":[146],"support":[148],"concept":[150],"domain.":[156],"In":[157],"this":[158],"work,":[159],"we":[160],"construct":[161],"suite":[163,174],"evaluating":[167],"from":[170],"existing":[171],"collections.":[172,208],"This":[173],"offers":[175],"researchers":[176],"unified":[178],"testbed":[179],"spanning":[180],"genres":[182],"tasks.":[184],"All":[185],"topics,":[186],"nuggets,":[187],"labels,":[189],"baseline":[191],"rankings":[192],"released":[194],"on":[195],"Hugging":[196],"Face":[197],"Datasets,":[198],"along":[199],"instructions":[201],"accessing":[203],"publicly":[205]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-24T00:00:00"}