{"id":"https://openalex.org/W4392089231","doi":"https://doi.org/10.48550/arxiv.2402.13587","title":"A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation","display_name":"A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation","publication_year":2024,"publication_date":"2024-02-21","ids":{"openalex":"https://openalex.org/W4392089231","doi":"https://doi.org/10.48550/arxiv.2402.13587"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2402.13587","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.13587","pdf_url":"https://arxiv.org/pdf/2402.13587","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.13587","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019703861","display_name":"Yunxin Li","orcid":"https://orcid.org/0000-0003-4819-2489"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Yunxin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083079672","display_name":"Baotian Hu","orcid":"https://orcid.org/0000-0001-7490-684X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Baotian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004450394","display_name":"Wenhan Luo","orcid":"https://orcid.org/0000-0002-5697-4168"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Wenhan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001213278","display_name":"Lin Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Lin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026429562","display_name":"Yuxin Ding","orcid":"https://orcid.org/0000-0001-9616-4461"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Yuxin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402925","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-6059-3798"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Min","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5019703861"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9715999960899353,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9715999960899353,"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/T12601","display_name":"Web Applications and Data Management","score":0.9611999988555908,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/context","display_name":"Context (archaeology)","score":0.6417195200920105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5740056037902832},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.522190511226654},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3218093514442444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14361608028411865},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1282895803451538}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6417195200920105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5740056037902832},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.522190511226654},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3218093514442444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14361608028411865},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1282895803451538},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2402.13587","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.13587","pdf_url":"https://arxiv.org/pdf/2402.13587","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-139190","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-139190","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"doi:10.48550/arxiv.2402.13587","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2402.13587","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:oai:arXiv.org:2402.13587","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.13587","pdf_url":"https://arxiv.org/pdf/2402.13587","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G412859668","display_name":null,"funder_award_id":"62376067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392089231.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2158975229"],"abstract_inverted_index":{"In":[0],"this":[1,42],"paper,":[2],"we":[3,106,142,197],"propose":[4],"a":[5,59,108,120,178,247,258],"new":[6],"setting":[7],"for":[8,157,250],"generating":[9],"product":[10,66,100,122,203,255],"descriptions":[11,30,256],"from":[12,200],"images,":[13],"augmented":[14],"by":[15],"marketing":[16],"keywords.":[17],"It":[18],"leverages":[19],"the":[20,36,53,65,69,85,99,104,125,129,138,144,154,168,186,206,216,242],"combined":[21],"power":[22],"of":[23,39,133,172,188,232,244,254,261],"visual":[24,47,145],"and":[25,48,55,57,75,83,110,127,147,162,195,224],"textual":[26,49],"information":[27],"to":[28,35,51,63,136,220,228,236],"create":[29],"that":[31,212],"are":[32],"more":[33],"tailored":[34],"unique":[37],"features":[38],"products.":[40],"For":[41],"setting,":[43],"previous":[44],"methods":[45],"utilize":[46],"encoders":[50],"encode":[52],"image":[54],"keywords":[56],"employ":[58],"language":[60,134,148,169,174,192],"model-based":[61],"decoder":[62],"generate":[64],"description.":[67,139],"However,":[68],"generated":[70,233],"description":[71,182],"is":[72,264],"often":[73],"inaccurate":[74],"generic":[76],"since":[77],"same-category":[78],"products":[79],"have":[80],"similar":[81,121],"copy-writings,":[82],"optimizing":[84,153],"overall":[86],"framework":[87],"on":[88,94,152,222,230],"large-scale":[89],"samples":[90],"makes":[91],"models":[92,135,175],"concentrate":[93],"common":[95],"words":[96],"yet":[97],"ignore":[98],"features.":[101],"To":[102,184],"alleviate":[103],"issue,":[105],"present":[107],"simple":[109],"effective":[111],"Multimodal":[112],"In-Context":[113],"Tuning":[114],"approach,":[115],"named":[116],"ModICT,":[117],"which":[118],"introduces":[119],"sample":[123],"as":[124,246],"reference":[126],"utilizes":[128],"in-context":[130,160],"learning":[131],"capability":[132],"produce":[137],"During":[140],"training,":[141],"keep":[143],"encoder":[146],"model":[149,193],"frozen,":[150],"focusing":[151],"modules":[155],"responsible":[156],"creating":[158],"multimodal":[159],"references":[161],"dynamic":[163],"prompts.":[164],"This":[165],"approach":[166],"preserves":[167],"generation":[170,253],"prowess":[171],"large":[173],"(LLMs),":[176],"facilitating":[177],"substantial":[179],"increase":[180],"in":[181,257],"diversity.":[183],"assess":[185],"effectiveness":[187],"ModICT":[189,213,245],"across":[190],"various":[191],"scales":[194],"types,":[196],"collect":[198],"data":[199],"three":[201],"distinct":[202],"categories":[204],"within":[205],"E-commerce":[207],"domain.":[208],"Extensive":[209],"experiments":[210],"demonstrate":[211],"significantly":[214],"improves":[215],"accuracy":[217],"(by":[218,226],"up":[219,227],"3.3%":[221],"Rouge-L)":[223],"diversity":[225],"9.4%":[229],"D-5)":[231],"results":[234],"compared":[235],"conventional":[237],"methods.":[238],"Our":[239],"findings":[240],"underscore":[241],"potential":[243],"valuable":[248],"tool":[249],"enhancing":[251],"automatic":[252],"wide":[259],"range":[260],"applications.":[262],"Code":[263],"at:":[265],"https://github.com/HITsz-TMG/Multimodal-In-Context-Tuning":[266]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
