{"id":"https://openalex.org/W7164477782","doi":"https://doi.org/10.48550/arxiv.2606.12608","title":"Shopping Reasoning Bench: An Expert-Authored Benchmark for Multi-Turn Conversational Shopping Assistants","display_name":"Shopping Reasoning Bench: An Expert-Authored Benchmark for Multi-Turn Conversational Shopping Assistants","publication_year":2026,"publication_date":"2026-06-10","ids":{"openalex":"https://openalex.org/W7164477782","doi":"https://doi.org/10.48550/arxiv.2606.12608"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.12608","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12608","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2606.12608","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100533676","display_name":"Shuxian Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Shuxian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000082239","display_name":"Seonwoo Min","orcid":"https://orcid.org/0000-0002-3278-0211"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min, Seonwoo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017009982","display_name":"Youna Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Youna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021181523","display_name":"B. L. Xia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Botao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039592314","display_name":"Jayakrishnan Unnikrishnan","orcid":"https://orcid.org/0000-0002-8464-4641"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Unnikrishnan, Jayakrishnan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138540588","display_name":"Rowan Musselmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Musselmann, Rowan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138497881","display_name":"Yifan Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Yifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138495441","display_name":"Qingyu Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Qingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138510772","display_name":"Priyanka Nigam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nigam, Priyanka","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138495230","display_name":"Bing Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Bing","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/T12128","display_name":"AI in Service Interactions","score":0.5271000266075134,"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/T12128","display_name":"AI in Service Interactions","score":0.5271000266075134,"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/T10028","display_name":"Topic Modeling","score":0.1623000055551529,"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/T12031","display_name":"Speech and dialogue systems","score":0.120899997651577,"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/benchmark","display_name":"Benchmark (surveying)","score":0.6559000015258789},{"id":"https://openalex.org/keywords/rubric","display_name":"Rubric","score":0.6148999929428101},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.5083000063896179},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4526999890804291},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.44119998812675476},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.37130001187324524},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.32339999079704285},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.31349998712539673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7505999803543091},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6559000015258789},{"id":"https://openalex.org/C111640148","wikidata":"https://www.wikidata.org/wiki/Q847349","display_name":"Rubric","level":2,"score":0.6148999929428101},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.5083000063896179},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4526999890804291},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.44119998812675476},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.37130001187324524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35600000619888306},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2928999960422516},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.28769999742507935},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2847999930381775},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.2685000002384186},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26570001244544983},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26089999079704285},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.257999986410141},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.251800000667572},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.2517000138759613},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.2515000104904175},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.12608","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12608","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2606.12608","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12608","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.490035742521286}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Conversational":[0],"shopping":[1,27,171,188],"assistants":[2],"now":[3],"serve":[4],"hundreds":[5],"of":[6,8,76,100,121,176],"millions":[7],"customers,":[9],"yet":[10],"no":[11],"existing":[12],"benchmark":[13,75],"jointly":[14],"evaluates":[15],"the":[16,69],"open-ended":[17],"multi-turn":[18,57,139],"reasoning,":[19],"domain":[20,91],"expertise,":[21],"and":[22,53,64,104,116,155],"criterion-level":[23],"quality":[24],"that":[25,131,166],"real":[26],"conversations":[28,161],"demand.":[29],"Shopping":[30,70,180],"reasoning":[31,102],"is":[32],"unique":[33],"among":[34],"language":[35],"model":[36],"applications.":[37],"Unlike":[38],"factual":[39],"question":[40],"answering":[41],"or":[42],"verifiable":[43],"code":[44],"generation,":[45],"it":[46],"requires":[47],"balancing":[48],"subjective":[49],"preferences,":[50],"budget":[51],"constraints,":[52],"cross-product":[54],"trade-offs":[55],"across":[56,124],"dialogue,":[58],"capabilities":[59],"absent":[60],"from":[61],"previous":[62],"e-commerce":[63],"general-purpose":[65],"benchmarks.":[66],"We":[67],"introduce":[68],"Reasoning":[71,181],"Bench,":[72],"an":[73],"expert-authored":[74],"525":[77],"missions":[78],"(232":[79],"single-turn,":[80],"293":[81],"multi-turn)":[82],"with":[83],"10863":[84],"importance-weighted":[85],"binary":[86],"rubrics":[87],"authored":[88],"by":[89],"retail":[90],"experts.":[92],"These":[93,163],"criteria":[94,150],"are":[95],"organized":[96],"under":[97],"a":[98,183],"taxonomy":[99],"five":[101],"categories":[103],"fifteen":[105],"subcategories":[106],"covering":[107],"diverse":[108],"demands":[109],"such":[110],"as":[111,160],"preference":[112],"refinement,":[113],"trade-off":[114],"analysis,":[115],"compatibility":[117],"assessment.":[118],"An":[119],"evaluation":[120],"nine":[122],"models":[123,142,168],"three":[125],"families":[126],"(GPT,":[127],"Claude,":[128],"Gemini)":[129],"shows":[130],"pass":[132],"rates":[133],"reach":[134],"only":[135],"57--77%":[136],"overall.":[137],"On":[138],"missions,":[140],"all":[141],"score":[143],"13--29":[144],"points":[145,159],"lower":[146],"on":[147,152],"optional":[148],"above-and-beyond":[149],"than":[151],"required":[153],"ones,":[154],"performance":[156],"degrades":[157],"4--18":[158],"progress.":[162],"gaps":[164],"show":[165],"current":[167],"handle":[169],"basic":[170],"assistance":[172],"but":[173],"fall":[174],"short":[175],"expert-level":[177],"advice,":[178],"making":[179],"Bench":[182],"challenging":[184],"testbed":[185],"for":[186],"future":[187],"assistant":[189],"development.":[190]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-13T00:00:00"}
