{"id":"https://openalex.org/W7161171255","doi":"https://doi.org/10.48550/arxiv.2605.12772","title":"Just Ask for a Table: A Thirty-Token User Prompt Defeats Sponsored Recommendations in Twelve LLMs","display_name":"Just Ask for a Table: A Thirty-Token User Prompt Defeats Sponsored Recommendations in Twelve LLMs","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7161171255","doi":"https://doi.org/10.48550/arxiv.2605.12772"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.12772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12772","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.2605.12772","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136108100","display_name":"Andreas Maier","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maier, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120560858","display_name":"Jeta Sopa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sopa, Jeta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124672675","display_name":"G\u00f6zde G\u00fcl Sahin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sahin, Gozde Gul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136095319","display_name":"Paula Perez-Toro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Perez-Toro, Paula","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5053698756","display_name":"Siming Bayer","orcid":"https://orcid.org/0000-0003-2874-4805"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bayer, Siming","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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.3199999928474426,"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"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.3199999928474426,"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":0.2370000034570694,"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"}},{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.12219999730587006,"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/ask-price","display_name":"Ask price","score":0.6574000120162964},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.5626999735832214},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.536899983882904},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5335000157356262},{"id":"https://openalex.org/keywords/literacy","display_name":"Literacy","score":0.3756999969482422},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.33219999074935913}],"concepts":[{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.6574000120162964},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.5626999735832214},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.536899983882904},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5335000157356262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45080000162124634},{"id":"https://openalex.org/C547764534","wikidata":"https://www.wikidata.org/wiki/Q8236","display_name":"Literacy","level":2,"score":0.3756999969482422},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.3700000047683716},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.34209999442100525},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.32899999618530273},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.323199987411499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2953999936580658},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2930000126361847},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2897000014781952},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C53537400","wikidata":"https://www.wikidata.org/wiki/Q140637","display_name":"Numeracy","level":3,"score":0.2809000015258789},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2782999873161316},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.27549999952316284},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.26339998841285706},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.2599000036716461},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.12772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12772","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.2605.12772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12772","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":[{"score":0.896206259727478,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Wu":[0],"et":[1],"al.":[2],"(2026)":[3],"showed":[4],"that":[5,43,112,171],"most":[6],"frontier":[7],"large":[8],"language":[9],"models":[10,35,42],"(LLMs)":[11],"recommend":[12],"a":[13,23,77,89,115,158,162,167,176],"sponsored,":[14],"roughly":[15],"twice-as-expensive":[16],"flight":[17],"when":[18],"their":[19,29,40],"system":[20],"prompt":[21,170],"contains":[22],"soft":[24],"sponsorship":[25],"cue.":[26],"We":[27],"reproduce":[28],"evaluation":[30,95],"on":[31,99,153],"ten":[32,191],"open-weight":[33,74],"chat":[34],"plus":[36],"the":[37,59,62,124,130,143,173,201,214],"two":[38,202],"of":[39,92,120,134,142,150],"twenty-three":[41],"are":[44,56,210,227],"still":[45],"reachable":[46],"today":[47],"(gpt-3.5-turbo,":[48],"gpt-4o).":[49],"All":[50],"reported":[51,116],"rates":[52],"in":[53],"this":[54],"paper":[55,64],"produced":[57],"under":[58,72],"same":[60],"judge":[61,81],"original":[63,144],"used":[65],"(gpt-4o);":[66],"we":[67,106],"additionally":[68],"store":[69],"every":[70],"label":[71],"an":[73,83,93],"(gpt-oss-120b)":[75],"and":[76,148,155,194,207,224],"smaller":[78],"proprietary":[79],"(gpt-4o-mini)":[80],"for":[82,103,175],"ablation.":[84],"Three":[85],"findings":[86],"emerge.":[87],"First,":[88],"prose":[90],"description":[91],"LLM":[94],"pipeline":[96],"is":[97,138,217],"not,":[98],"its":[100],"own,":[101],"sufficient":[102],"accurate":[104],"reproduction:":[105],"surfaced":[107],"three":[108],"silent":[109],"implementation":[110],"failures":[111],"each":[113],"shifted":[114],"rate":[117],"by":[118,219],"tens":[119],"percentage":[121],"points.":[122],"Second,":[123],"central":[125],"claims":[126],"do":[127],"generalise":[128],"-":[129],"gpt-3.5-turbo":[131,154],"logistic-regression":[132],"intercept":[133],"alpha":[135,145],"=":[136,146],"0.81":[137],"within":[139],"four":[140],"points":[141],"0.86,":[147],"200":[149,151],"trials":[152],"gpt-4o":[156],"promote":[157],"payday":[159],"lender":[160],"to":[161,186,197],"financially":[163],"distressed":[164],"user.":[165],"Third,":[166],"thirty-token":[168],"user":[169],"asks":[172],"assistant":[174],"neutral":[177],"comparison":[178],"table":[179],"first":[180],"cuts":[181],"sponsored":[182],"recommendation":[183],"from":[184,195],"46.9%":[185],"1.0%":[187],"averaged":[188,199],"across":[189,200],"our":[190],"open-source":[192],"models,":[193],"53.0%":[196],"0%":[198],"OpenAI":[203],"models.":[204],"AI":[205],"literacy":[206],"price-comparison":[208],"portals":[209],"likely":[211],"market-level":[212],"mitigations;":[213],"harmful-product":[215],"cell":[216],"bounded":[218],"neither.":[220],"Raw":[221],"data,":[222],"labels":[223],"analysis":[225],"scripts":[226],"at":[228],"https://github.com/akmaier/Paper-LLM-Ads":[229],".":[230]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-15T00:00:00"}