{"id":"https://openalex.org/W7155076986","doi":"https://doi.org/10.48550/arxiv.2604.17126","title":"Prompt Sensitivity in Vision-Language Grounding: How Small Changes in Wording Affect Object Detection","display_name":"Prompt Sensitivity in Vision-Language Grounding: How Small Changes in Wording Affect Object Detection","publication_year":2026,"publication_date":"2026-04-18","ids":{"openalex":"https://openalex.org/W7155076986","doi":"https://doi.org/10.48550/arxiv.2604.17126"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.17126","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17126","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":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.2604.17126","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133129996","display_name":"Dawar Jyoti Deka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deka, Dawar Jyoti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134167265","display_name":"Amit Sethi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sethi, Amit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100995652","display_name":"Syed Mohammad Ali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali, Syed Mohammad","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.95660001039505,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.95660001039505,"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/T10465","display_name":"Neurobiology of Language and Bilingualism","score":0.01140000019222498,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11148","display_name":"Language, Metaphor, and Cognition","score":0.003000000026077032,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.670199990272522},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6180999875068665},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.48420000076293945},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48260000348091125},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.48030000925064087},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.47760000824928284}],"concepts":[{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.670199990272522},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6180999875068665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6044999957084656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5825999975204468},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.48420000076293945},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48260000348091125},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.48030000925064087},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.47760000824928284},{"id":"https://openalex.org/C168993435","wikidata":"https://www.wikidata.org/wiki/Q6501125","display_name":"Ground","level":2,"score":0.4657000005245209},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4278999865055084},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3928999900817871},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3057999908924103},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2784000039100647}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.17126","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17126","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":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.2604.17126","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17126","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.6357671618461609,"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":{"Vision-language":[0],"models":[1],"enable":[2],"open-vocabulary":[3],"object":[4,32],"grounding":[5,107],"through":[6],"natural":[7],"language":[8],"queries,":[9],"under":[10],"the":[11,117],"implicit":[12],"assumption":[13,24],"that":[14,46,99,113],"semantically":[15],"equivalent":[16],"descriptions":[17],"yield":[18],"consistent":[19],"outputs.":[20],"We":[21,44,96],"examine":[22],"this":[23,75],"using":[25],"a":[26],"controlled":[27],"pipeline":[28],"combining":[29],"DETR":[30],"for":[31,36],"proposals":[33],"with":[34,62],"CLIP":[35],"language-conditioned":[37],"selection":[38,119],"on":[39],"263":[40],"COCO":[41],"val2017":[42],"images.":[43],"find":[45],"overlapping":[47],"prompts":[48],"such":[49],"as":[50],"\"a":[51,53,56],"person,\"":[52],"human,\"":[54],"and":[55,79,89],"pedestrian\"":[57],"frequently":[58],"select":[59],"different":[60],"instances,":[61],"mean":[63],"instability":[64,114],"of":[65,106],"2.11":[66],"distinct":[67],"selections":[68,92],"across":[69],"six":[70],"prompts.":[71],"PCA":[72],"analysis":[73],"shows":[74],"variability":[76],"is":[77],"structured":[78],"directional,":[80],"not":[81,86],"random.":[82],"Prompt":[83],"ensembling":[84],"does":[85],"improve":[87],"quality":[88],"often":[90],"shifts":[91],"toward":[93],"generic":[94],"regions.":[95],"further":[97],"show":[98],"text":[100],"embedding":[101],"proximity":[102],"explains":[103],"only":[104],"34%":[105],"disagreement":[108],"(r":[109],"=":[110],"-0.58),":[111],"confirming":[112],"arises":[115],"from":[116],"argmax":[118],"mechanism":[120],"rather":[121],"than":[122],"text-level":[123],"distances":[124],"alone.":[125]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-22T00:00:00"}
