{"id":"https://openalex.org/W7155533500","doi":"https://doi.org/10.48550/arxiv.2604.21769","title":"Who Defines \"Best\"? Towards Interactive, User-Defined Evaluation of LLM Leaderboards","display_name":"Who Defines \"Best\"? Towards Interactive, User-Defined Evaluation of LLM Leaderboards","publication_year":2026,"publication_date":"2026-04-23","ids":{"openalex":"https://openalex.org/W7155533500","doi":"https://doi.org/10.48550/arxiv.2604.21769"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.21769","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21769","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2604.21769","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134477077","display_name":"Minji Jung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jung, Minji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134496466","display_name":"Minjae Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Minjae","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134485097","display_name":"Yejin Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Yejin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134505418","display_name":"Sarang Choi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Choi, Sarang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5042350842","display_name":"Minsuk Kahng","orcid":"https://orcid.org/0000-0002-0291-6026"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kahng, Minsuk","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":0.7350000143051147,"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":0.7350000143051147,"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/T13197","display_name":"Spreadsheets and End-User Computing","score":0.03370000049471855,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.024900000542402267,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6229000091552734},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5934000015258789},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5720999836921692},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.567300021648407},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.5041000247001648},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4934000074863434},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.44269999861717224},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.3587000072002411}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7613000273704529},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6229000091552734},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5934000015258789},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5720999836921692},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.567300021648407},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.5041000247001648},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4934000074863434},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.44269999861717224},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3434999883174896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3319999873638153},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3230000138282776},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.31940001249313354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3174999952316284},{"id":"https://openalex.org/C64073096","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Interactive visualization","level":3,"score":0.30640000104904175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3052000105381012},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2847999930381775},{"id":"https://openalex.org/C3019813237","wikidata":"https://www.wikidata.org/wiki/Q65089264","display_name":"Model validation","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C126231374","wikidata":"https://www.wikidata.org/wiki/Q1061298","display_name":"Operability","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.26669999957084656},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2619999945163727},{"id":"https://openalex.org/C3018587665","wikidata":"https://www.wikidata.org/wiki/Q7268696","display_name":"Qualitative analysis","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.21769","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21769","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.21769","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21769","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"LLM":[0,173],"leaderboards":[1],"are":[2,15,109],"widely":[3],"used":[4,63,110],"to":[5,130,143,169],"compare":[6],"models":[7,44],"and":[8,30,35,50,71,105,138,142,159,171],"guide":[9],"deployment":[10],"decisions.":[11],"However,":[12],"leaderboard":[13],"rankings":[14,100,146],"shaped":[16],"by":[17,21,26,76,136],"evaluation":[18,74,134],"priorities":[19,135],"set":[20],"benchmark":[22,70],"designers,":[23],"rather":[24],"than":[25],"the":[27,61,65,90],"diverse":[28],"goals":[29],"constraints":[31],"of":[32,60],"actual":[33],"users":[34,129],"organizations.":[36],"A":[37,149],"single":[38],"aggregate":[39],"score":[40],"often":[41],"obscures":[42],"how":[43,145],"behave":[45],"across":[46,102],"different":[47],"prompt":[48,103,140],"types":[49],"compositions.":[51],"In":[52],"this":[53,73,120,154],"work,":[54],"we":[55,122],"conduct":[56],"an":[57,78],"in-depth":[58],"analysis":[59,87],"dataset":[62,91],"in":[64,111],"LMArena":[66],"(formerly":[67],"Chatbot":[68],"Arena)":[69],"investigate":[72],"challenge":[75],"designing":[77],"interactive":[79,155],"visualization":[80,125],"interface":[81,126],"as":[82],"a":[83,124],"design":[84,170],"probe.":[85],"Our":[86],"reveals":[88],"that":[89,98,106,113,127,153],"is":[92],"heavily":[93],"skewed":[94],"toward":[95,166],"certain":[96],"topics,":[97],"model":[99,163],"vary":[101],"slices,":[104],"preference-based":[107],"judgments":[108],"ways":[112,168],"blur":[114],"their":[115,132],"intended":[116],"scope.":[117],"Building":[118],"on":[119],"analysis,":[121],"introduce":[123],"allows":[128],"define":[131],"own":[133],"selecting":[137],"weighting":[139],"slices":[141],"explore":[144],"change":[147],"accordingly.":[148],"qualitative":[150],"study":[151],"suggests":[152],"approach":[156],"improves":[157],"transparency":[158],"supports":[160],"more":[161],"context-specific":[162],"evaluation,":[164],"pointing":[165],"alternative":[167],"use":[172],"leaderboards.":[174]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-25T00:00:00"}