{"id":"https://openalex.org/W7160528436","doi":"https://doi.org/10.48550/arxiv.2605.04070","title":"Toward Human-AI Complementarity Across Diverse Tasks","display_name":"Toward Human-AI Complementarity Across Diverse Tasks","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7160528436","doi":"https://doi.org/10.48550/arxiv.2605.04070"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.04070","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04070","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.2605.04070","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062545619","display_name":"Yuzheng Xu","orcid":"https://orcid.org/0000-0002-9715-9565"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Yuzheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062904632","display_name":"Annya Dahmani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dahmani, Annya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033534124","display_name":"Matthew D. Blanchard","orcid":"https://orcid.org/0000-0001-5557-8617"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Blanchard, Matthew D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115514708","display_name":"Niclas Dern","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dern, Niclas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135563307","display_name":"Edy Nastase","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nastase, Edy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135598878","display_name":"Francesca Bianco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bianco, Francesca","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135553865","display_name":"Maja Pavlovic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pavlovic, Maja","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083679956","display_name":"Sukanya Krishna","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krishna, Sukanya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135556769","display_name":"Eric Modesitt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Modesitt, Eric","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135601019","display_name":"Miranda Anna Christ","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christ, Miranda Anna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018244556","display_name":"Arth Singh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Singh, Arth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012870841","display_name":"Gaia Molinaro","orcid":"https://orcid.org/0000-0001-6145-133X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Molinaro, Gaia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109880668","display_name":"Sikata Bela Sengupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sengupta, Sikata Bela","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003670325","display_name":"Jaji Pamarthi","orcid":"https://orcid.org/0000-0002-2141-4873"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pamarthi, Jaji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135542830","display_name":"Arjun Menon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Menon, Arjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135586748","display_name":"Rishub Jain","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jain, Rishub","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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.3961000144481659,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.3961000144481659,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.2328999936580658,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.15870000422000885,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.8044999837875366},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6922000050544739},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3562000095844269},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.34850001335144043},{"id":"https://openalex.org/keywords/negotiation","display_name":"Negotiation","score":0.31209999322891235}],"concepts":[{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.8044999837875366},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6922000050544739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6351000070571899},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5634999871253967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5600000023841858},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C199776023","wikidata":"https://www.wikidata.org/wiki/Q202875","display_name":"Negotiation","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.27790001034736633},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26109999418258667},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.04070","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04070","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.2605.04070","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04070","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":[{"score":0.5954347252845764,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Human-AI":[0],"complementarity,":[1],"the":[2,111,120,170,181],"idea":[3],"that":[4,169,196],"combining":[5],"human":[6,140,175],"and":[7,46,53,69,110,128,191,205,210,228],"AI":[8,23,48,87,104,133,147,157,164,201,241],"judgments":[9],"can":[10,29],"outperform":[11],"either":[12],"alone,":[13],"offers":[14],"a":[15,58,95],"promising":[16],"pathway":[17],"toward":[18,235],"robust":[19],"oversight":[20],"of":[21,61,101,113],"advanced":[22],"systems.":[24],"However,":[25],"whether":[26],"human-AI":[27,238],"complementarity":[28,76,97],"be":[30],"achieved":[31],"on":[32,57],"realistic":[33],"tasks":[34],"remains":[35],"an":[36],"open":[37],"question.":[38],"We":[39,72,223],"investigate":[40],"this":[41],"through":[42],"two":[43,47],"approaches:":[44],"hybridization":[45,79],"assistance":[49,52,138,194],"methods":[50,195],"(top-2":[51],"subtask":[54],"delegation),":[55],"evaluated":[56],"multi-domain":[59],"dataset":[60,227],"1,886":[62],"samples":[63],"spanning":[64],"knowledge,":[65],"factuality,":[66],"long-context":[67],"reasoning,":[68],"deception":[70],"detection.":[71],"find":[73],"only":[74],"modest":[75],"gains.":[77],"Baseline":[78],"yields":[80],"just":[81],"+0.4":[82],"percentage":[83],"points":[84],"(pp)":[85],"over":[86],"alone":[88,148],"(69.3\\%":[89],"vs":[90],"68.9\\%),":[91],"limited":[92],"both":[93],"by":[94],"small":[96],"region":[98],"(only":[99],"8.9\\%":[100],"items":[102],"where":[103,209],"errs":[105],"but":[106,151,180],"humans":[107,154,187,198],"do":[108],"not)":[109],"inability":[112],"confidence-based":[114],"routing":[115],"to":[116,144,183,186,192,199,232],"identify":[117],"it,":[118],"since":[119],"model's":[121],"confidence":[122],"is":[123,173],"similarly":[124],"distributed":[125],"across":[126],"correct":[127,156],"incorrect":[129],"predictions.":[130],"Applied":[131],"when":[132,188],"has":[134],"low":[135],"confidence,":[136],"top-2":[137],"increases":[139],"accuracy":[141,177],"from":[142],"28.4\\%":[143],"38.3\\%,":[145],"surpassing":[146],"(37.7\\%)":[149],"--":[150],"primarily":[152],"because":[153,160],"adopt":[155],"suggestions,":[158],"not":[159,174],"they":[161],"successfully":[162],"override":[163],"errors.":[165],"These":[166],"findings":[167],"suggest":[168],"primary":[171],"bottleneck":[172],"task":[176],"per":[178],"se,":[179],"ability":[182],"route":[184],"decisions":[185],"it":[189],"matters":[190],"design":[193],"enable":[197],"catch":[200],"mistakes.":[202],"Our":[203],"quantitative":[204],"qualitative":[206],"analyses":[207],"pinpoint":[208],"why":[211],"each":[212],"method":[213],"succeeds":[214],"or":[215],"fails,":[216],"offering":[217],"concrete":[218],"targets":[219],"for":[220,240],"future":[221],"work.":[222],"will":[224],"release":[225],"our":[226],"code":[229],"upon":[230],"request":[231],"support":[233],"progress":[234],"more":[236],"effective":[237],"collaboration":[239],"oversight.":[242]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-08T00:00:00"}
