{"id":"https://openalex.org/W4414404847","doi":"https://doi.org/10.1109/tpami.2025.3612480","title":"Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models","display_name":"Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models","publication_year":2025,"publication_date":"2025-09-22","ids":{"openalex":"https://openalex.org/W4414404847","doi":"https://doi.org/10.1109/tpami.2025.3612480","pmid":"https://pubmed.ncbi.nlm.nih.gov/40982522"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3612480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3612480","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103065439","display_name":"Anke Tang","orcid":"https://orcid.org/0000-0002-0576-8153"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anke Tang","raw_affiliation_strings":["School of Computer Science, National Engineering Research Center for Multimedia Software and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0576-8153","affiliations":[{"raw_affiliation_string":"School of Computer Science, National Engineering Research Center for Multimedia Software and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042802004","display_name":"Li Shen","orcid":"https://orcid.org/0000-0001-5659-3464"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Shen","raw_affiliation_strings":["Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5659-3464","affiliations":[{"raw_affiliation_string":"Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039158745","display_name":"Yong Luo","orcid":"https://orcid.org/0000-0002-2296-6370"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Luo","raw_affiliation_strings":["School of Computer Science, National Engineering Research Center for Multimedia Software and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2296-6370","affiliations":[{"raw_affiliation_string":"School of Computer Science, National Engineering Research Center for Multimedia Software and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101791257","display_name":"Shuai Xie","orcid":"https://orcid.org/0000-0002-0454-3761"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Xie","raw_affiliation_strings":["JD Explore Academy, Beijing, China","JD Explore Academy, JD.com, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD Explore Academy, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]},{"raw_affiliation_string":"JD Explore Academy, JD.com, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Han Hu","orcid":"https://orcid.org/0000-0001-7532-0496"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Hu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China","School of Information and Electronics, Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-7532-0496","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024278302","display_name":"Lefei Zhang","orcid":"https://orcid.org/0000-0003-0542-2280"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lefei Zhang","raw_affiliation_strings":["School of Computer Science, National Engineering Research Center for Multimedia Software and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0542-2280","affiliations":[{"raw_affiliation_string":"School of Computer Science, National Engineering Research Center for Multimedia Software and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["School of Computer Science, National Engineering Research Center for Multimedia Software and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0059-8458","affiliations":[{"raw_affiliation_string":"School of Computer Science, National Engineering Research Center for Multimedia Software and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34711917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":"2","first_page":"1145","last_page":"1157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9639000296592712,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9639000296592712,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9118000268936157,"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/interpretability","display_name":"Interpretability","score":0.8679999709129333},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7286999821662903},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5679000020027161},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.550599992275238},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5199999809265137},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4745999872684479},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.42989999055862427},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.37369999289512634},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.35359999537467957}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8679999709129333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476000189781189},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7286999821662903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6118999719619751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6067000031471252},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5679000020027161},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.550599992275238},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5199999809265137},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4745999872684479},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4489000141620636},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.42989999055862427},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.35359999537467957},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C43091099","wikidata":"https://www.wikidata.org/wiki/Q1067788","display_name":"Through-the-lens metering","level":3,"score":0.27869999408721924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.25609999895095825}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3612480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3612480","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40982522","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40982522","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1163755948","display_name":null,"funder_award_id":"62576364","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1284973545","display_name":null,"funder_award_id":"62276195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1463586485","display_name":null,"funder_award_id":"2024AFA017","funder_id":"https://openalex.org/F4320327654","funder_display_name":"Foundation for Innovative Research Groups of Hubei Province of China"},{"id":"https://openalex.org/G1836220556","display_name":null,"funder_award_id":"62225113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5019704030","display_name":null,"funder_award_id":"U2336211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8276535520","display_name":null,"funder_award_id":"U23A20318","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327654","display_name":"Foundation for Innovative Research Groups of Hubei Province of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2001610032","https://openalex.org/W2017814585","https://openalex.org/W2047643928","https://openalex.org/W2067713319","https://openalex.org/W2112796928","https://openalex.org/W2138011018","https://openalex.org/W2150884987","https://openalex.org/W2592962403","https://openalex.org/W2789758093","https://openalex.org/W2923014074","https://openalex.org/W2964194231","https://openalex.org/W2979826702","https://openalex.org/W3122937883","https://openalex.org/W4401044057","https://openalex.org/W4402671950","https://openalex.org/W4402777376","https://openalex.org/W4404783473","https://openalex.org/W4406472599","https://openalex.org/W4413147824","https://openalex.org/W4416036114","https://openalex.org/W4416650086"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"model":[1,16,35,39,133,155],"training":[2],"on":[3,123,165],"extensive":[4,215],"datasets":[5],"is":[6,198,293],"increasingly":[7],"becoming":[8],"cost-prohibitive,":[9],"prompting":[10],"the":[11,43,57,62,74,100,106,147,166,172,176,192,202,211,251,270],"widespread":[12],"adoption":[13],"of":[14,45,53,59,81,102,108,139,149,194,255,269,272],"deep":[15],"fusion":[17,36,63,134],"techniques":[18],"to":[19,29,72,120,132,186,188,239],"leverage":[20],"knowledge":[21],"from":[22,175],"pre-existing":[23],"models.":[24,47],"From":[25],"simple":[26],"weight":[27],"averaging":[28],"more":[30],"sophisticated":[31],"methods":[32,69],"like":[33],"AdaMerging,":[34],"effectively":[37],"improves":[38],"performance":[40,271,286],"and":[41,56,111,224,231,234,247,253],"accelerates":[42],"development":[44],"new":[46,189],"However,":[48],"potential":[49],"interference":[50,76,115],"between":[51],"parameters":[52,264],"individual":[54,274],"models":[55,151,242],"lack":[58],"interpretability":[60],"in":[61,201],"progress":[64],"remain":[65],"significant":[66,182],"challenges.":[67],"Existing":[68],"often":[70],"try":[71],"resolve":[73],"parameter":[75,91,114,195,204],"issue":[77,193],"by":[78,90,98,209],"evaluating":[79],"attributes":[80],"parameters,":[82],"such":[83,220],"as":[84,116,221],"their":[85],"magnitude":[86],"or":[87,89,159,183],"sign,":[88],"pruning.":[92],"In":[93],"this":[94,124],"study,":[95],"we":[96,127,235],"begin":[97],"examining":[99],"fine-tuning":[101,169,230],"linear":[103],"layers":[104],"through":[105],"lens":[107],"subspace":[109],"analysis":[110],"explicitly":[112],"define":[113],"an":[117,129,153],"optimization":[118],"problem":[119],"shed":[121],"light":[122],"subject.":[125],"Subsequently,":[126],"introduce":[128],"innovative":[130],"approach":[131,163],"called":[135],"zero-shot":[136],"Sparse":[137],"MIxture":[138],"Low-rank":[140],"Experts":[141],"(SMILE)":[142],"construction,":[143],"which":[144,197],"allows":[145],"for":[146,279],"upscaling":[148],"source":[150],"into":[152],"MoE":[154],"without":[156],"extra":[157,290],"data":[158],"further":[160],"training.":[161],"Our":[162],"relies":[164],"observation":[167],"that":[168],"mostly":[170],"keeps":[171],"important":[173],"parts":[174],"pre-training,":[177],"but":[178],"it":[179],"uses":[180],"less":[181],"unused":[184],"areas":[185],"adapt":[187],"tasks.":[190],"Additionally,":[191],"interference,":[196],"intrinsically":[199],"challenging":[200],"original":[203],"space,":[205],"can":[206,265],"be":[207],"managed":[208],"expanding":[210],"dimensions.":[212],"We":[213],"conduct":[214],"experiments":[216],"across":[217],"diverse":[218],"scenarios,":[219],"image":[222],"classification":[223],"text":[225],"generation":[226],"tasks,":[227],"using":[228],"full":[229,258],"LoRA":[232,280],"fine-tuning,":[233],"apply":[236],"our":[237],"method":[238],"large":[240],"language":[241],"(CLIP":[243],"models,":[244,246,260,277,283],"Flan-T5":[245,282],"Mistral-7B":[248],"models),":[249],"highlighting":[250],"adaptability":[252],"scalability":[254],"SMILE.":[256],"For":[257],"fine-tuned":[259,275,281],"about":[261],"50%":[262],"additional":[263],"achieve":[266],"around":[267],"98-99%":[268],"eight":[273],"ViT":[276],"while":[278],"maintaining":[284],"99%":[285],"with":[287],"only":[288],"2%":[289],"parameters.":[291],"Code":[292],"available":[294],"at":[295],"<uri":[296],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[297],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/tanganke/fusion_bench</uri>.":[298]},"counts_by_year":[],"updated_date":"2026-01-11T23:08:45.486102","created_date":"2025-10-10T00:00:00"}