{"id":"https://openalex.org/W7161113168","doi":"https://doi.org/10.48550/arxiv.2605.13521","title":"Granite Embedding Multilingual R2 Models","display_name":"Granite Embedding Multilingual R2 Models","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161113168","doi":"https://doi.org/10.48550/arxiv.2605.13521"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.13521","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13521","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":"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.2605.13521","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029725148","display_name":"Parul Awasthy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Awasthy, Parul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080640298","display_name":"Aashka Trivedi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trivedi, Aashka","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136181780","display_name":"Yushu Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yushu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087768439","display_name":"Ken Barker","orcid":"https://orcid.org/0000-0003-0899-8904"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barker, Ken","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136186249","display_name":"Yulong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yulong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136136966","display_name":"Bhavani Iyer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iyer, Bhavani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071900309","display_name":"Martin Franz","orcid":"https://orcid.org/0000-0001-6697-3022"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Franz, Martin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111333814","display_name":"Meet Doshi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bross, Juergen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136146367","display_name":"Riyaz Bhat","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Doshi, Meet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035127798","display_name":"P. Vignesh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P, Vignesh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136114111","display_name":"Vishwajeet Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kumar, Vishwajeet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111895145","display_name":"Todd Ward","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ward, Todd","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129713573","display_name":"Abraham Daniels","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniels, Abraham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136159883","display_name":"Rudra Murthy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Madison","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050003816","display_name":"M Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lastras, Luis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136118283","display_name":"Luis Lastras","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sen, Jaydeep","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102383724","display_name":"Jaydeep Sen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Florian, Radu","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/T10028","display_name":"Topic Modeling","score":0.4262999892234802,"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/T10028","display_name":"Topic Modeling","score":0.4262999892234802,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.09269999712705612,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.07169999927282333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.8203999996185303},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5927000045776367},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4779999852180481},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.4422999918460846},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44179999828338623},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4189999997615814},{"id":"https://openalex.org/keywords/multilingualism","display_name":"Multilingualism","score":0.4189000129699707},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.40630000829696655}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8203999996185303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6776999831199646},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5927000045776367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5232999920845032},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4779999852180481},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4560000002384186},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.4422999918460846},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44179999828338623},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42160001397132874},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4189999997615814},{"id":"https://openalex.org/C2780035574","wikidata":"https://www.wikidata.org/wiki/Q30081","display_name":"Multilingualism","level":2,"score":0.4189000129699707},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.40630000829696655},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26989999413490295},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2687000036239624},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.257099986076355},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2549999952316284},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C174183944","wikidata":"https://www.wikidata.org/wiki/Q334661","display_name":"MIT License","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.13521","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13521","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":"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.2605.13521","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13521","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":"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":[{"score":0.5880360007286072,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1],"the":[2,73,98,135],"multilingual":[3,51,79,105],"Granite":[4],"Embedding":[5],"R2":[6,24],"models,":[7],"a":[8,37,81,85],"family":[9],"of":[10,67,102],"encoder-based":[11],"embedding":[12,106,120],"models":[13,27,70,123],"for":[14,31,118],"enterprise-scale":[15],"dense":[16],"retrieval":[17,62,100],"across":[18,50],"200+":[19],"languages.":[20],"Extending":[21],"our":[22],"English-focused":[23],"release,":[25],"these":[26],"add":[28],"enhanced":[29],"support":[30,143],"52":[32],"languages":[33],"and":[34,46,52,60,84,93,132,146,150],"programming":[35],"code,":[36],"32,768-token":[38],"context":[39],"window":[40],"(a":[41],"64x":[42],"expansion":[43],"over":[44],"R1),":[45],"state-of-the-art":[47],"overall":[48],"performance":[49],"cross-lingual":[53],"text":[54],"search,":[55,59],"code":[56],"retrieval,":[57],"long-document":[58],"reasoning":[61],"datasets.":[63],"The":[64,111],"release":[65],"consists":[66],"two":[68],"bi-encoder":[69],"based":[71],"on":[72,126],"ModernBERT":[74],"architecture":[75],"with":[76,129],"an":[77],"expanded":[78],"vocabulary:":[80],"311M-parameter":[82],"full-size,":[83],"97M-parameter":[86],"compact":[87],"model":[88,91,107],"built":[89],"via":[90],"pruning":[92],"vocabulary":[94],"selection":[95],"that":[96],"achieves":[97],"highest":[99],"score":[101],"any":[103],"open":[104],"under":[108,134],"100M":[109],"parameters.":[110],"full-size":[112],"also":[113],"supports":[114],"Matryoshka":[115],"Representation":[116],"Learning":[117],"flexible":[119],"dimensionality.":[121],"Both":[122],"are":[124],"trained":[125],"enterprise-appropriate":[127],"data":[128],"governance":[130],"oversight,":[131],"released":[133],"Apache":[136],"2.0":[137],"license":[138],"at":[139],"https://huggingface.co/collections/ibm-granite,":[140],"designed":[141],"to":[142],"responsible":[144],"use":[145],"enable":[147],"unrestricted":[148],"research":[149],"enterprise":[151],"adoption.":[152]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-15T00:00:00"}
