{"id":"https://openalex.org/W7164125254","doi":"https://doi.org/10.48550/arxiv.2606.10650","title":"Dynamic Linear Attention","display_name":"Dynamic Linear Attention","publication_year":2026,"publication_date":"2026-06-09","ids":{"openalex":"https://openalex.org/W7164125254","doi":"https://doi.org/10.48550/arxiv.2606.10650"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.10650","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10650","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":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.2606.10650","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138336309","display_name":"Xin Wang","orcid":"https://orcid.org/0009-0003-7035-8841"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138374567","display_name":"Hui Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Hui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138357643","display_name":"Boyuan Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Boyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138352214","display_name":"Xueshen Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xueshen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127886582","display_name":"Minkyoung Cho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cho, Minkyoung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138293553","display_name":"Zhongwei Wan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan, Zhongwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127881114","display_name":"Zesen Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Zesen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109819308","display_name":"Zhuoqing Mao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mao, Zhuoqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138327109","display_name":"Shen Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Shen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138372530","display_name":"Mi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Mi","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":0.2711000144481659,"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":0.2711000144481659,"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":0.14489999413490295,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.10869999974966049,"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/security-token","display_name":"Security token","score":0.6172999739646912},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5795000195503235},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5482000112533569},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5353999733924866},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5338000059127808},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.3531999886035919},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.3418999910354614}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7448999881744385},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6172999739646912},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5795000195503235},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5482000112533569},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5480999946594238},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5353999733924866},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5338000059127808},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3375000059604645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33640000224113464},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C119907115","wikidata":"https://www.wikidata.org/wiki/Q6815725","display_name":"Memory errors","level":3,"score":0.310699999332428},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.3059999942779541},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.27950000762939453}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.10650","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10650","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.10650","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10650","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"scalability":[1],"of":[2,17,23,170],"Large":[3],"Language":[4],"Models":[5],"(LLMs)":[6],"to":[7,60,140],"long":[8,35,75],"contexts":[9],"is":[10],"fundamentally":[11],"constrained":[12],"by":[13,134],"the":[14,21,168],"quadratic":[15],"complexity":[16],"standard":[18],"attention,":[19],"motivating":[20],"adoption":[22],"linear":[24,48,91,154],"attention":[25,49,155],"mechanisms":[26],"with":[27,144],"sub-quadratic":[28],"cost.":[29],"To":[30,77],"improve":[31],"representation":[32],"capacity":[33],"under":[34],"contexts,":[36],"recent":[37],"approaches":[38],"organize":[39],"memory":[40,86,142],"in":[41],"a":[42,84,128],"multi-state":[43,47,90],"manner.":[44],"However,":[45],"existing":[46],"methods":[50],"rely":[51],"on":[52,106,151,159],"fixed":[53],"state":[54,103,132],"merging":[55,136],"policies":[56],"that":[57],"cannot":[58],"adapt":[59],"dynamically":[61],"varying":[62],"token":[63],"importance,":[64],"irreversibly":[65],"obscuring":[66],"critical":[67],"tokens":[68],"and":[69,121,157],"causing":[70],"severe":[71],"error":[72],"accumulation":[73],"over":[74,172],"sequences.":[76],"address":[78],"this":[79],"limitation,":[80],"we":[81],"propose":[82],"DLA,":[83],"dynamic":[85],"modeling":[87],"framework":[88],"for":[89],"attention.":[92],"DLA":[93,150,171],"introduces":[94],"(i)":[95],"Information-Aware":[96],"Dynamic":[97],"State":[98],"Merging,":[99],"which":[100,126],"adaptively":[101],"determines":[102],"boundaries":[104],"based":[105],"token-level":[107],"information":[108,146],"variation,":[109],"preserving":[110],"high-resolution":[111],"representations":[112],"around":[113],"semantic":[114],"transitions":[115],"while":[116],"aggressively":[117],"summarizing":[118],"stable":[119],"regions,":[120],"(ii)":[122],"Capacity-Bounded":[123],"Memory":[124],"Modeling,":[125],"maintains":[127],"fixed-size,":[129],"chronologically":[130],"ordered":[131],"cache":[133],"selectively":[135],"adjacent":[137],"low-information":[138],"states":[139],"control":[141],"growth":[143],"minimal":[145],"loss.":[147],"We":[148],"pre-train":[149],"two":[152],"different":[153],"models":[156],"evaluate":[158],"16":[160],"datasets":[161],"across":[162],"three":[163],"categories.":[164],"Experimental":[165],"results":[166],"demonstrate":[167],"superiority":[169],"state-of-the-art.":[173]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-11T00:00:00"}