{"id":"https://openalex.org/W7130557451","doi":"https://doi.org/10.48550/arxiv.2602.16284","title":"Fast KV Compaction via Attention Matching","display_name":"Fast KV Compaction via Attention Matching","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7130557451","doi":"https://doi.org/10.48550/arxiv.2602.16284"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.16284","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","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":null,"display_name":"Zweiger, Adam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zweiger, Adam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126422553","display_name":"Xinghong Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Xinghong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126372049","display_name":"Han Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Han","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126381152","display_name":"Yoon Jung Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Yoon","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19460259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.2646999955177307,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.2646999955177307,"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/T14347","display_name":"Big Data and Digital Economy","score":0.1071000024676323,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.08060000091791153,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.6471999883651733},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.6039000153541565},{"id":"https://openalex.org/keywords/compaction","display_name":"Compaction","score":0.5566999912261963},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5200999975204468},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.503000020980835},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4250999987125397},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.40959998965263367}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6471999883651733},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.6039000153541565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.595300018787384},{"id":"https://openalex.org/C196715460","wikidata":"https://www.wikidata.org/wiki/Q1414356","display_name":"Compaction","level":2,"score":0.5566999912261963},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5200999975204468},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.503000020980835},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4250999987125397},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.40959998965263367},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28630000352859497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2833000123500824},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C34381374","wikidata":"https://www.wikidata.org/wiki/Q37144","display_name":"Cartridge","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.16284","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.16284","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.16284","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":"pmh:doi:10.48550/arxiv.2602.16284","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"Scaling":[0],"language":[1],"models":[2],"to":[3,52,97,148],"long":[4,20],"contexts":[5,21],"is":[6,50],"often":[7],"bottlenecked":[8],"by":[9],"the":[10,13,68,138],"size":[11],"of":[12,70,120,133,141],"key-value":[14],"(KV)":[15],"cache.":[16],"In":[17],"deployed":[18],"settings,":[19],"are":[22],"typically":[23],"managed":[24],"through":[25,88],"compaction":[26,84,142,150],"in":[27,58,85,151],"token":[28],"space":[29,60,87],"via":[30],"summarization.":[31],"However,":[32],"summarization":[33],"can":[34],"be":[35],"highly":[36,54],"lossy,":[37],"substantially":[38],"harming":[39],"downstream":[40],"performance.":[41],"Recent":[42],"work":[43,77],"on":[44,153],"Cartridges":[45],"has":[46],"shown":[47],"that":[48,61,111,135],"it":[49],"possible":[51],"train":[53],"compact":[55,93],"KV":[56],"caches":[57],"latent":[59,86],"closely":[62],"match":[63],"full-context":[64],"performance,":[65],"but":[66],"at":[67,105],"cost":[69],"slow":[71],"and":[72,95,101],"expensive":[73],"end-to-end":[74],"optimization.":[75],"This":[76],"describes":[78],"an":[79],"approach":[80],"for":[81],"fast":[82],"context":[83],"Attention":[89],"Matching,":[90],"which":[91,121],"constructs":[92],"keys":[94],"values":[96],"reproduce":[98],"attention":[99,103],"outputs":[100],"preserve":[102],"mass":[104],"a":[106,131],"per-KV-head":[107],"level.":[108],"We":[109],"show":[110],"this":[112,127],"formulation":[113],"naturally":[114],"decomposes":[115],"into":[116],"simple":[117],"subproblems,":[118],"some":[119,154],"admit":[122],"efficient":[123],"closed-form":[124],"solutions.":[125],"Within":[126],"framework,":[128],"we":[129],"develop":[130],"family":[132],"methods":[134],"significantly":[136],"push":[137],"Pareto":[139],"frontier":[140],"time":[143],"versus":[144],"quality,":[145],"achieving":[146],"up":[147],"50x":[149],"seconds":[152],"datasets":[155],"with":[156],"little":[157],"quality":[158],"loss.":[159]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-02-20T00:00:00"}