{"id":"https://openalex.org/W4415538282","doi":"https://doi.org/10.1145/3746027.3762076","title":"<scp>MultiMediate</scp> '25: Cross-cultural Multi-domain Engagement Estimation","display_name":"<scp>MultiMediate</scp> '25: Cross-cultural Multi-domain Engagement Estimation","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415538282","doi":"https://doi.org/10.1145/3746027.3762076"},"language":"en","primary_location":{"id":"doi:10.1145/3746027.3762076","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746027.3762076","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3746027.3762076","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072317323","display_name":"Daksitha Senel Withanage Don","orcid":"https://orcid.org/0009-0003-8831-9795"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daksitha Senel Withanage Don","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"raw_orcid":"https://orcid.org/0009-0003-8831-9795","affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110210104","display_name":"M. Funk","orcid":"https://orcid.org/0009-0008-3064-599X"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marius Funk","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"raw_orcid":"https://orcid.org/0009-0008-3064-599X","affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071345994","display_name":"Michal Bal\u00e1\u017eia","orcid":"https://orcid.org/0000-0001-7153-9984"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Michal Balazia","raw_affiliation_strings":["INRIA Sophia Antipolis, Sophia Antipolis, France","STARS - Spatio-Temporal Activity Recognition Systems (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)"],"raw_orcid":"https://orcid.org/0000-0001-7153-9984","affiliations":[{"raw_affiliation_string":"INRIA Sophia Antipolis, Sophia Antipolis, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"STARS - Spatio-Temporal Activity Recognition Systems (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082191689","display_name":"Huajian Qiu","orcid":"https://orcid.org/0000-0001-7792-0241"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Huajian Qiu","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7792-0241","affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080920610","display_name":"Shogo Okada","orcid":"https://orcid.org/0000-0002-9260-0403"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shogo Okada","raw_affiliation_strings":["JAIST, Ishikawa, Japan","JAIST - Japan Advanced Institute of Science and Technology (1-1 Asahidai, Nomi, Ishikawa 923-1292 Japan - Japan)"],"raw_orcid":"https://orcid.org/0000-0002-9260-0403","affiliations":[{"raw_affiliation_string":"JAIST, Ishikawa, Japan","institution_ids":["https://openalex.org/I177738480"]},{"raw_affiliation_string":"JAIST - Japan Advanced Institute of Science and Technology (1-1 Asahidai, Nomi, Ishikawa 923-1292 Japan - Japan)","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037298642","display_name":"Fran\u00e7ois Br\u00e9mond","orcid":"https://orcid.org/0000-0003-2988-2142"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Br\u00e9mond","raw_affiliation_strings":["INRIA Sophia Antipolis, Sophia Antipolis, France"],"raw_orcid":"https://orcid.org/0000-0003-2988-2142","affiliations":[{"raw_affiliation_string":"INRIA Sophia Antipolis, Sophia Antipolis, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028227011","display_name":"Jan Alexandersson","orcid":"https://orcid.org/0000-0002-6676-3145"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jan Alexandersson","raw_affiliation_strings":["DFKI, Saarbr\u00fccken, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6676-3145","affiliations":[{"raw_affiliation_string":"DFKI, Saarbr\u00fccken, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073661463","display_name":"Andreas Bulling","orcid":"https://orcid.org/0000-0001-6317-7303"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Bulling","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6317-7303","affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056684559","display_name":"Elisabeth Andr\u00e9","orcid":"https://orcid.org/0000-0002-2367-162X"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elisabeth Andr\u00e9","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2367-162X","affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070129175","display_name":"Philipp M\u00fcller","orcid":"https://orcid.org/0000-0001-7037-7100"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Philipp M\u00fcller","raw_affiliation_strings":["DFKI, Saarbr\u00fccken, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7037-7100","affiliations":[{"raw_affiliation_string":"DFKI, Saarbr\u00fccken, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5072317323"],"corresponding_institution_ids":["https://openalex.org/I179225836"],"apc_list":null,"apc_paid":null,"fwci":3.0615,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92133812,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"14150","last_page":"14155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/paralanguage","display_name":"Paralanguage","score":0.6639000177383423},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.550599992275238},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5026999711990356},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.49059998989105225},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.48829999566078186},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45649999380111694},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.3702000081539154}],"concepts":[{"id":"https://openalex.org/C133378560","wikidata":"https://www.wikidata.org/wiki/Q1753225","display_name":"Paralanguage","level":2,"score":0.6639000177383423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6062999963760376},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.550599992275238},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5026999711990356},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.49059998989105225},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.48829999566078186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4578999876976013},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45649999380111694},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45239999890327454},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3946000039577484},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.367900013923645},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3352999985218048},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.32359999418258667},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.28870001435279846},{"id":"https://openalex.org/C11693617","wikidata":"https://www.wikidata.org/wiki/Q181839","display_name":"Pragmatics","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.27730000019073486},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3746027.3762076","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746027.3762076","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05412406v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-05412406","pdf_url":"https://inria.hal.science/hal-05412406v1/file/2025_ACMMM.pdf","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MM 2025 - 33rd ACM International Conference on MultiMedia, ACM, Oct 2025, Dublin, Ireland. pp.14150 - 14155, &#x27E8;10.1145/3746027.3762076&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.1145/3746027.3762076","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746027.3762076","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2156874919","display_name":"Georgian Artificial Intelligence Networking and Twinning Initiative","funder_award_id":"101078950","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2249928863","display_name":null,"funder_award_id":"490909448","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G5348977864","display_name":null,"funder_award_id":"ANR-15-IDEX-01","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G5534415672","display_name":null,"funder_award_id":"559/10-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G828328090","display_name":"Anticipatory Human-Computer Interaction","funder_award_id":"801708","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8390274387","display_name":null,"funder_award_id":"AN 559/10-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8800819381","display_name":null,"funder_award_id":"-15-IDEX-01","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null},{"id":"https://openalex.org/F4320334763","display_name":"Leibniz-Gemeinschaft","ror":"https://ror.org/01n6r0e97"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1578643944","https://openalex.org/W2042587338","https://openalex.org/W2105410877","https://openalex.org/W2239141610","https://openalex.org/W2313339984","https://openalex.org/W2346454595","https://openalex.org/W2559085405","https://openalex.org/W2755291975","https://openalex.org/W2782668511","https://openalex.org/W2806887026","https://openalex.org/W2807126412","https://openalex.org/W2905180035","https://openalex.org/W2995682556","https://openalex.org/W3007611314","https://openalex.org/W3012624518","https://openalex.org/W3047520359","https://openalex.org/W3138516171","https://openalex.org/W3143996792","https://openalex.org/W3176768410","https://openalex.org/W3205504809","https://openalex.org/W4288099396","https://openalex.org/W4296596271","https://openalex.org/W4312560592","https://openalex.org/W4385965696","https://openalex.org/W4386057769","https://openalex.org/W4402712443","https://openalex.org/W4402915764","https://openalex.org/W4403752318","https://openalex.org/W4403780549","https://openalex.org/W4403913342","https://openalex.org/W4415536722","https://openalex.org/W4415536725","https://openalex.org/W4415536755"],"related_works":[],"abstract_inverted_index":{"Estimating":[0],"momentary":[1],"conversational":[2],"engagement":[3,31,205],"is":[4],"central":[5],"to":[6,33,197],"assistive,":[7],"socially":[8],"aware":[9],"AI":[10],"systems,":[11],"yet":[12],"models":[13],"are":[14,193],"typically":[15],"trained":[16],"and":[17,37,63,69,91,110,114,134,145,148,159,191,203],"evaluated":[18],"within":[19],"a":[20,57,84],"single":[21],"domain,":[22],"limiting":[23],"real-world":[24],"robustness.":[25],"The":[26],"MultiMediate":[27],"'25":[28],"challenge":[29,43,121,155,179],"advances":[30],"estimation":[32],"more":[34],"challenging,":[35],"cross-cultural,":[36],"multi-domain":[38],"settings.":[39],"Building":[40],"on":[41,181,201],"prior":[42],"editions,":[44],"we":[45,80,101,125],"expand":[46],"beyond":[47],"NOXI":[48],"as":[49,83],"the":[50,118,154,173,177,182],"sole":[51],"training":[52,68],"source":[53],"by":[54],"introducing":[55],"NOXI-J,":[56],"new":[58,103],"multilingual":[59],"corpus":[60],"covering":[61],"Japanese":[62],"Chinese":[64,183],"interactions,":[65],"enabling":[66],"both":[67],"evaluation":[70],"in":[71],"diverse":[72],"linguistic":[73],"contexts.":[74],"Although":[75],"NOXI-J":[76],"conceptually":[77],"extends":[78],"NOXI,":[79],"treat":[81],"it":[82],"distinct":[85],"domain":[86],"because":[87],"linguistic,":[88,158],"cultural,":[89,157],"capture,":[90],"annotation":[92],"differences":[93],"induce":[94],"measurable":[95],"distribution":[96],"shifts.":[97,161],"In":[98],"this":[99],"paper,":[100],"present":[102],"annotations,":[104,188],"precomputed":[105],"multi-modal":[106],"features":[107],"(visual,":[108],"vocal,":[109],"verbal),":[111],"baseline":[112],"evaluations,":[113],"an":[115],"analysis":[116],"of":[117,156],"best":[119],"performing":[120],"solutions.":[122],"Beyond":[123],"accuracy,":[124],"quantify":[126],"fairness":[127],"using":[128],"Conditional":[129],"Demographic":[130],"Disparity":[131],"for":[132,168,176],"gender":[133],"language.":[135],"Our":[136],"baselines":[137],"confirm":[138],"strong":[139],"in-domain":[140],"performance":[141],"(e.g.,":[142],"paralinguistic":[143],"eGeMAPS":[144],"video-transformer":[146],"features)":[147],"reveal":[149],"notable":[150],"cross-domain":[151],"drops,":[152],"underscoring":[153],"interactional":[160],"Fairness":[162],"analyses":[163],"indicate":[164],"generally":[165],"small":[166],"discrepancies":[167],"our":[169],"baselines.":[170],"We":[171],"observe":[172],"largest":[174],"disparities":[175],"proposed":[178],"solutions":[180],"language":[184],"test":[185],"set.":[186],"All":[187],"features,":[189],"code,":[190],"leaderboards":[192],"made":[194],"publicly":[195],"available":[196],"foster":[198],"sustained":[199],"progress":[200],"robust":[202],"fair":[204],"estimation.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-25T00:00:00"}