{"id":"https://openalex.org/W7148754419","doi":"https://doi.org/10.48550/arxiv.2604.01615","title":"Analysis of LLM Performance on AWS Bedrock: Receipt-item Categorisation Case Study","display_name":"Analysis of LLM Performance on AWS Bedrock: Receipt-item Categorisation Case Study","publication_year":2026,"publication_date":"2026-04-02","ids":{"openalex":"https://openalex.org/W7148754419","doi":"https://doi.org/10.48550/arxiv.2604.01615"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.01615","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01615","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.2604.01615","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132861552","display_name":"Gabby Sanchez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanchez, Gabby","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132860787","display_name":"Sneha Oommen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oommen, Sneha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132831904","display_name":"Cassandra T. Britto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Britto, Cassandra T.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132853309","display_name":"Di Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Di","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132901497","display_name":"Jung-De Chiou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chiou, Jung-De","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5049584186","display_name":"Maria Spichkova","orcid":"https://orcid.org/0000-0001-6882-1444"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Spichkova, Maria","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/T10028","display_name":"Topic Modeling","score":0.14509999752044678,"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":0.14509999752044678,"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":0.07680000364780426,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.06360000371932983,"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/balance","display_name":"Balance (ability)","score":0.34779998660087585},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.34139999747276306},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.33559998869895935},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.2759999930858612},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.24070000648498535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5623000264167786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46860000491142273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4165000021457672},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2759999930858612},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2524000108242035},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.24070000648498535},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2248000055551529}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.01615","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01615","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.2604.01615","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01615","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,16],"systematic,":[4],"cost-aware":[5],"evaluation":[6],"of":[7,44,75,80,84],"large":[8],"language":[9],"models":[10,24],"(LLMs)":[11],"for":[12],"receipt-item":[13],"categorisation":[14],"within":[15],"production-oriented":[17],"classification":[18,98],"framework.":[19],"We":[20],"compare":[21],"four":[22],"instruction-tuned":[23],"available":[25],"through":[26],"AWS":[27],"Bedrock:":[28],"Claude":[29,32,89],"3.7":[30,90],"Sonnet,":[31,34],"4":[33],"Mixtral":[35],"8x7B":[36],"Instruct,":[37],"and":[38,56,59,77,100],"Mistral":[39],"7B":[40],"Instruct.":[41],"The":[42],"aim":[43],"the":[45,93],"study":[46],"was":[47],"(1)":[48],"to":[49,61],"assess":[50],"performance":[51],"across":[52],"accuracy,":[53],"response":[54],"stability,":[55],"token-level":[57],"cost,":[58],"(2)":[60],"investigate":[62],"what":[63],"prompting":[64],"methods,":[65],"zero-shot":[66],"or":[67],"few-shot,":[68],"are":[69],"especially":[70],"appropriate":[71],"both":[72],"in":[73,78],"terms":[74,79],"accuracy":[76,99],"incurred":[81],"costs.":[82],"Results":[83],"our":[85],"experiments":[86],"demonstrated":[87],"that":[88],"Sonnet":[91],"achieves":[92],"most":[94],"favourable":[95],"balance":[96],"between":[97],"cost":[101],"efficiency.":[102]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-04T00:00:00"}
