{"id":"https://openalex.org/W6943995682","doi":"https://doi.org/10.18420/btw2025-132","title":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","display_name":"Self-Refinement Strategies for LLM-based Product Attribute Value Extraction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W6943995682","doi":"https://doi.org/10.18420/btw2025-132"},"language":"en","primary_location":{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:70816","is_oa":true,"landing_page_url":null,"pdf_url":"https://madoc.bib.uni-mannheim.de/70816/1/BTW2025-132.pdf","source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"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":"Konferenzver\u00f6ffentlichung"},"type":"conference-paper","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://madoc.bib.uni-mannheim.de/70816/1/BTW2025-132.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Brinkmann, Alexander","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brinkmann, Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Bizer, Christian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bizer, Christian","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":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":true,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.23600000143051147,"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/T10028","display_name":"Topic Modeling","score":0.23600000143051147,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.12620000541210175,"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/T10260","display_name":"Software Engineering Research","score":0.12240000069141388,"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/product","display_name":"Product (mathematics)","score":0.6879000067710876},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6259999871253967},{"id":"https://openalex.org/keywords/rewriting","display_name":"Rewriting","score":0.5694000124931335},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5534999966621399},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.37689998745918274},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3465999960899353}],"concepts":[{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6879000067710876},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6259999871253967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5972999930381775},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.5694000124931335},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5534999966621399},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4207000136375427},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3465999960899353},{"id":"https://openalex.org/C45135082","wikidata":"https://www.wikidata.org/wiki/Q16960030","display_name":"Product design specification","level":4,"score":0.3248000144958496},{"id":"https://openalex.org/C19351080","wikidata":"https://www.wikidata.org/wiki/Q1395034","display_name":"New product development","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C117410459","wikidata":"https://www.wikidata.org/wiki/Q1895266","display_name":"Marginal value","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C120823896","wikidata":"https://www.wikidata.org/wiki/Q1043226","display_name":"Product design","level":3,"score":0.2612999975681305},{"id":"https://openalex.org/C147101817","wikidata":"https://www.wikidata.org/wiki/Q13443840","display_name":"Product category","level":3,"score":0.2581000030040741}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:70816","is_oa":true,"landing_page_url":null,"pdf_url":"https://madoc.bib.uni-mannheim.de/70816/1/BTW2025-132.pdf","source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"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":"Konferenzver\u00f6ffentlichung"},{"id":"doi:10.18420/btw2025-132","is_oa":true,"landing_page_url":"https://doi.org/10.18420/btw2025-132","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:70816","is_oa":true,"landing_page_url":null,"pdf_url":"https://madoc.bib.uni-mannheim.de/70816/1/BTW2025-132.pdf","source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"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":"Konferenzver\u00f6ffentlichung"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4117484390735626}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6943995682.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Structured":[0],"product":[1,18,22,29,53,122,191],"data,":[2,172],"represented":[3],"as":[4,16,76,187],"attribute-value":[5],"pairs,":[6],"is":[7],"crucial":[8],"for":[9,52],"e-commerce":[10],"platforms":[11],"to":[12,35,91,95,120],"enable":[13],"features":[14],"such":[15,75],"faceted":[17],"search":[19],"and":[20,39,79,117,137],"attribute-based":[21],"comparison.":[23],"However,":[24],"vendors":[25],"often":[26],"supply":[27],"unstructured":[28],"descriptions,":[30],"necessitating":[31],"attribute":[32,54,123,166],"value":[33,55,124,167],"extraction":[34,56,125,168],"ensure":[36],"data":[37],"consistency":[38],"usability.":[40],"Large":[41],"language":[42],"models":[43],"(LLMs),":[44],"including":[45],"OpenAI's":[46],"GPT-4o,":[47],"have":[48,147],"demonstrated":[49],"their":[50],"potential":[51],"in":[57],"few-shot":[58,134],"scenarios.":[59,139],"Recent":[60],"research":[61],"has":[62,88],"shown":[63],"that":[64,143],"self-refinement":[65,111,128,145],"techniques":[66,87,112,129,146],"can":[67],"improve":[68],"the":[69,96,121,152,157,175,179,188],"performance":[70,153,177],"of":[71,98,154,182,190],"LLMs":[72],"on":[73,151],"tasks":[74],"code":[77],"generation":[78],"text-to-SQL":[80],"translation.":[81],"For":[82,165],"other":[83],"tasks,":[84],"applying":[85,109],"these":[86],"only":[89],"led":[90],"increased":[92],"costs":[93,181],"due":[94],"processing":[97,163],"additional":[99],"tokens,":[100],"without":[101],"achieving":[102],"an":[103],"improved":[104],"performance.":[105],"This":[106],"paper":[107],"investigates":[108],"two":[110],"\u2014":[113,119],"error-based":[114],"prompt":[115],"rewriting":[116],"self-correction":[118],"task.":[126],"The":[127],"are":[130,184],"evaluated":[131],"across":[132,156],"zero-shot,":[133],"in-context":[135],"learning,":[136],"fine-tuning":[138,173,183],"Experimental":[140],"results":[141],"reveal":[142],"both":[144],"a":[148],"marginal":[149],"impact":[150],"GPT-4o":[155],"different":[158],"scenarios":[159,169],"while":[160,178],"significantly":[161],"increasing":[162],"costs.":[164],"involving":[170],"training":[171],"yields":[174],"highest":[176],"ramp-up":[180],"balanced":[185],"out":[186],"amount":[189],"descriptions":[192],"grows.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
