{"id":"https://openalex.org/W7164858694","doi":"https://doi.org/10.48550/arxiv.2606.14383","title":"IndustryBench-MIPU: Benchmarking Multi-Image Attribute Value Extraction for Industrial Products","display_name":"IndustryBench-MIPU: Benchmarking Multi-Image Attribute Value Extraction for Industrial Products","publication_year":2026,"publication_date":"2026-06-12","ids":{"openalex":"https://openalex.org/W7164858694","doi":"https://doi.org/10.48550/arxiv.2606.14383"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.14383","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14383","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.2606.14383","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112583922","display_name":"Haonan Qi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi, Haonan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138688803","display_name":"Jin Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Jin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138647415","display_name":"Yongqi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yongqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138667926","display_name":"Xintong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xintong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138688465","display_name":"Weidong Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Weidong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138676679","display_name":"Bin Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Bin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028822516","display_name":"Chengfu Huo","orcid":"https://orcid.org/0000-0003-3611-6921"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huo, Chengfu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068854502","display_name":"Haojun Pan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan, Haojun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138664231","display_name":"Hengyu You","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"You, Hengyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138689749","display_name":"Jing Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138634042","display_name":"Yingde Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yingde","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138684808","display_name":"Liang Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Liang","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":0.23819999396800995,"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":0.23819999396800995,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.210099995136261,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.08219999819993973,"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/benchmarking","display_name":"Benchmarking","score":0.7530999779701233},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6909000277519226},{"id":"https://openalex.org/keywords/completeness","display_name":"Completeness (order theory)","score":0.5605000257492065},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5515000224113464},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5054000020027161},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4526999890804291},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43790000677108765},{"id":"https://openalex.org/keywords/product-design-specification","display_name":"Product design specification","score":0.41769999265670776}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7530999779701233},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6909000277519226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6898000240325928},{"id":"https://openalex.org/C17231256","wikidata":"https://www.wikidata.org/wiki/Q5156540","display_name":"Completeness (order theory)","level":2,"score":0.5605000257492065},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5515000224113464},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5054000020027161},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4526999890804291},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4180000126361847},{"id":"https://openalex.org/C45135082","wikidata":"https://www.wikidata.org/wiki/Q16960030","display_name":"Product design specification","level":4,"score":0.41769999265670776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3573000133037567},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.35659998655319214},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C2780366209","wikidata":"https://www.wikidata.org/wiki/Q5170200","display_name":"Core model","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C106436119","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assurance","level":3,"score":0.31049999594688416},{"id":"https://openalex.org/C2987803363","wikidata":"https://www.wikidata.org/wiki/Q2424752","display_name":"Product model","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C19351080","wikidata":"https://www.wikidata.org/wiki/Q1395034","display_name":"New product development","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.28519999980926514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27720001339912415},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2615000009536743},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2506999969482422},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.14383","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14383","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.2606.14383","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14383","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.59913170337677}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Industrial":[0],"products":[1,115],"such":[2],"as":[3],"valves":[4],"and":[5,18,36,89,102,130,140,185],"circuit":[6],"breakers":[7],"are":[8,25,187],"defined":[9],"by":[10],"dense":[11],"technical":[12,37,94],"specifications":[13,24],"that":[14],"govern":[15],"procurement,":[16],"compatibility,":[17],"safety":[19],"across":[20,27,116],"supply":[21],"chains.":[22],"These":[23],"scattered":[26,108],"multiple":[28],"heterogeneous":[29],"product":[30,66,78],"images,":[31],"including":[32],"specification":[33,87],"tables,":[34],"nameplates,":[35,90],"drawings,":[38,95],"yet":[39],"whether":[40],"Multimodal":[41],"Large":[42],"Language":[43],"Models":[44],"(MLLMs)":[45],"can":[46],"reliably":[47],"recover":[48],"them":[49],"remains":[50],"underexplored.":[51],"To":[52],"fill":[53],"this":[54],"gap,":[55],"we":[56],"introduce":[57],"IndustryBench-MIPU,":[58],"the":[59,111,155,181],"first":[60],"large-scale":[61],"benchmark":[62,112],"for":[63],"multi-image":[64,142,167],"industrial":[65,100,124],"understanding,":[67],"built":[68],"around":[69],"structured":[70],"attribute":[71],"extraction":[72,168],"--":[73],"recovering":[74],"property-value":[75],"pairs":[76],"from":[77,164],"images.":[79],"This":[80],"task":[81],"jointly":[82],"probes":[83],"text":[84],"recognition":[85],"on":[86],"tables":[88],"visual":[91],"reasoning":[92],"over":[93],"domain":[96],"knowledge":[97],"to":[98,106,166],"decode":[99],"terminology,":[101],"cross-image":[103],"evidence":[104],"integration":[105],"assemble":[107],"specifications.":[109],"Concretely,":[110],"comprises":[113],"4,559":[114],"27,652":[117],"images":[118],"with":[119],"103,703":[120],"annotations":[121],"spanning":[122],"18":[123],"categories,":[125],"constructed":[126],"through":[127],"multi-model":[128],"consensus":[129],"three-tier":[131],"quality":[132],"assurance.":[133],"Evaluating":[134],"nine":[135],"MLLMs":[136],"under":[137],"both":[138],"single-image":[139,165,178],"product-level":[141,161],"settings":[143],"reveals":[144],"a":[145],"stark":[146],"completeness":[147],"gap:":[148],"models":[149],"achieve":[150],"high":[151],"precision":[152],"(86--94%)":[153],"but":[154],"best":[156],"recovers":[157],"only":[158],"49.9%":[159],"of":[160,173],"attributes;":[162],"moving":[163],"costs":[169],"15--34":[170],"percentage":[171],"points":[172],"recall.":[174],"Multi-image":[175],"completeness,":[176],"not":[177],"accuracy,":[179],"is":[180],"core":[182],"bottleneck.":[183],"Dataset":[184],"code":[186],"publicly":[188],"available.":[189]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-16T00:00:00"}
