{"id":"https://openalex.org/W7127898826","doi":"https://doi.org/10.48550/arxiv.2602.04101","title":"Interfaze: The Future of AI is built on Task-Specific Small Models","display_name":"Interfaze: The Future of AI is built on Task-Specific Small Models","publication_year":2026,"publication_date":"2026-02-04","ids":{"openalex":"https://openalex.org/W7127898826","doi":"https://doi.org/10.48550/arxiv.2602.04101"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.04101","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093223305","display_name":"Harsha Vardhan Khurdula","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Khurdula, Harsha Vardhan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061064231","display_name":"Vineet Agarwal","orcid":"https://orcid.org/0000-0001-6235-5577"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agarwal, Vineet","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5054130350","display_name":"Yoeven D Khemlani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khemlani, Yoeven D","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093223305"],"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.2272000014781952,"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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.2272000014781952,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.1339000016450882,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.06289999932050705,"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/context","display_name":"Context (archaeology)","score":0.6751000285148621},{"id":"https://openalex.org/keywords/stack","display_name":"Stack (abstract data type)","score":0.6629999876022339},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5449000000953674},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5250999927520752},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5210000276565552},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4546000063419342},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4401000142097473},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.38679999113082886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7965999841690063},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6751000285148621},{"id":"https://openalex.org/C9395851","wikidata":"https://www.wikidata.org/wiki/Q177929","display_name":"Stack (abstract data type)","level":2,"score":0.6629999876022339},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5449000000953674},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5250999927520752},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5210000276565552},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4546000063419342},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4401000142097473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41620001196861267},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.38679999113082886},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3781000077724457},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.35030001401901245},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.29670000076293945},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C53833338","wikidata":"https://www.wikidata.org/wiki/Q1061424","display_name":"Context switch","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26649999618530273},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.04101","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.04101","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.04101","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.04101","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"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":{"We":[0,180],"present":[1],"Interfaze,":[2],"a":[3,11,28,34,60,90,94,112,132],"system":[4],"that":[5,63,83,135,182],"treats":[6],"modern":[7],"LLM":[8,134,197],"applications":[9],"as":[10,44],"problem":[12],"of":[13,27,36,107,210],"building":[14],"and":[15,53,55,66,78,92,110,121,125,158,175,191,217],"acting":[16],"over":[17],"context,":[18,202],"not":[19],"just":[20],"picking":[21],"the":[22,128,137,189,195,208,214],"right":[23],"monolithic":[24,218],"model.":[25],"Instead":[26],"single":[29],"transformer,":[30],"we":[31],"combine":[32],"(i)":[33],"stack":[35,109],"heterogeneous":[37],"DNNs":[38],"paired":[39],"with":[40,58,163,194],"small":[41,119],"language":[42],"models":[43,120],"perception":[45],"modules":[46],"for":[47,97],"OCR":[48],"involving":[49],"complex":[50],"PDFs,":[51],"charts":[52],"diagrams,":[54],"multilingual":[56],"ASR":[57],"(ii)":[59],"context-construction":[61],"layer":[62,82],"crawls,":[64],"indexes,":[65],"parses":[67],"external":[68],"sources":[69],"(web":[70],"pages,":[71],"code,":[72],"PDFs)":[73],"into":[74],"compact":[75],"structured":[76],"state,":[77],"(iii)":[79],"an":[80],"action":[81],"can":[84],"browse,":[85],"retrieve,":[86],"execute":[87],"code":[88],"in":[89],"sandbox,":[91],"drive":[93],"headless":[95],"browser":[96],"dynamic":[98],"web":[99],"pages.":[100],"A":[101],"thin":[102],"controller":[103],"sits":[104],"on":[105,146,149,152,155,160,167,200],"top":[106],"this":[108,141],"exposes":[111],"single,":[113],"OpenAI-style":[114],"endpoint:":[115],"it":[116],"decides":[117],"which":[118],"actions":[122],"to":[123,131],"run":[124],"always":[126],"forwards":[127],"distilled":[129,201],"context":[130],"user-selected":[133],"produces":[136],"final":[138],"response.":[139],"On":[140],"architecture,":[142],"Interfaze-Beta":[143],"achieves":[144],"83.6%":[145],"MMLU-Pro,":[147],"91.4%":[148],"MMLU,":[150],"81.3%":[151],"GPQA-Diamond,":[153],"57.8%":[154],"LiveCodeBench":[156],"v5,":[157],"90.0%":[159],"AIME-2025,":[161],"along":[162],"strong":[164],"multimodal":[165],"scores":[166],"MMMU":[168],"(val)":[169],"(77.3%),":[170],"AI2D":[171],"(91.5%),":[172],"ChartQA":[173],"(90.9%),":[174],"Common":[176],"Voice":[177],"v16":[178],"(90.8%).":[179],"show":[181],"most":[183,215],"queries":[184],"are":[185],"handled":[186],"primarily":[187],"by":[188],"small-model":[190],"tool":[192],"stack,":[193],"large":[196],"operating":[198],"only":[199],"yielding":[203],"competitive":[204],"accuracy":[205],"while":[206],"shifting":[207],"bulk":[209],"computation":[211],"away":[212],"from":[213],"expensive":[216],"models.":[219]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-07T00:00:00"}