{"id":"https://openalex.org/W7128789064","doi":"https://doi.org/10.48550/arxiv.2602.11733","title":"Adapting Vision-Language Models for E-commerce Understanding at Scale","display_name":"Adapting Vision-Language Models for E-commerce Understanding at Scale","publication_year":2026,"publication_date":"2026-02-12","ids":{"openalex":"https://openalex.org/W7128789064","doi":"https://doi.org/10.48550/arxiv.2602.11733"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.11733","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115772171","display_name":"Matteo Nulli","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nulli, Matteo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125983219","display_name":"Vladimir Orshulevich","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Orshulevich, Vladimir","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125946383","display_name":"Tala Bazazo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bazazo, Tala","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010730319","display_name":"Christian Herold","orcid":"https://orcid.org/0000-0001-7097-2057"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Herold, Christian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019465824","display_name":"Michael Kozielski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kozielski, Michael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090307584","display_name":"M. Mazur","orcid":"https://orcid.org/0000-0002-3440-8173"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mazur, Marcin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125919421","display_name":"Szymon Tuzel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tuzel, Szymon","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125950073","display_name":"Cees G. M. Snoek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Snoek, Cees G. M.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125988947","display_name":"Seyyed Hadi Hashemi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hashemi, Seyyed Hadi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051572547","display_name":"Omar Javed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javed, Omar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125925790","display_name":"Yannick Versley","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Versley, Yannick","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123525985","display_name":"Shahram Khadivi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khadivi, Shahram","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5115772171"],"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":0.5411999821662903,"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":0.5411999821662903,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.0551999993622303,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.05119999870657921,"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/suite","display_name":"Suite","score":0.6873000264167786},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5626999735832214},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5490000247955322},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.527999997138977},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.35510000586509705},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.31299999356269836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7089999914169312},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.6873000264167786},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5626999735832214},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5285000205039978},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.527999997138977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.461899995803833},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2574000060558319},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.11733","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.11733","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.11733","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.11733","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"E-commerce":[0],"product":[1,84],"understanding":[2],"demands":[3],"by":[4],"nature,":[5],"strong":[6],"multimodal":[7,21,72],"comprehension":[8],"from":[9],"text,":[10],"images,":[11],"and":[12,38,89],"structured":[13],"attributes.":[14],"General-purpose":[15],"Vision-Language":[16],"Models":[17],"(VLMs)":[18],"enable":[19],"generalizable":[20],"latent":[22],"modelling,":[23],"yet":[24],"there":[25],"is":[26],"no":[27],"documented,":[28],"well-known":[29],"strategy":[30],"for":[31],"adapting":[32],"them":[33],"to":[34],"the":[35],"attribute-centric,":[36],"multi-image,":[37],"noisy":[39],"nature":[40],"of":[41,61],"e-commerce":[42,67],"data,":[43],"without":[44],"sacrificing":[45],"general":[46,62],"performance.":[47],"In":[48],"this":[49],"work,":[50],"we":[51,75],"show":[52],"through":[53],"a":[54,77],"large-scale":[55],"experimental":[56],"study,":[57],"how":[58],"targeted":[59],"adaptation":[60],"VLMs":[63],"can":[64],"substantially":[65],"improve":[66],"performance":[68],"while":[69],"preserving":[70],"broad":[71],"capabilities.":[73],"Furthermore,":[74],"propose":[76],"novel":[78],"extensive":[79],"evaluation":[80],"suite":[81],"covering":[82],"deep":[83],"understanding,":[85],"strict":[86],"instruction":[87],"following,":[88],"dynamic":[90],"attribute":[91],"extraction.":[92]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-14T00:00:00"}
